• automation
    101 real-world gen AI use cases from the world's leading organizations 在过去一年半的时间里，生成式人工智能（AI）在企业领域的应用迅速发展。Google Cloud的Next活动中展示了超过300家组织如何利用AI推动企业转型。这些企业已经从简单的问答助手，发展到能够进行预测和采取行动的AI代理，进一步扩展其业务功能和提升效率。 具体来说，AI代理在以下几个关键领域表现出显著的效益：首先是客户服务，AI能够帮助企业更好地理解和满足客户需求；其次是员工赋能，通过自动化日常任务和优化工作流程，AI提升了工作效率；在创意构思和生产领域，AI助力企业快速生成创新的解决方案；数据分析方面，AI通过高效处理和解析大数据，支持决策制定；在编码创建方面，AI简化了开发流程，提高了代码质量；最后在网络安全领域，AI加强了数据保护和风险管理。 这些应用不仅提高了生产力和操作效率，还极大地改善了客户体验和企业的创新能力。AI的多模态能力，即在文本、语音、视频等多种通信模式中的应用，使其能够更全面地满足不同行业的需求。通过这些先进的技术，企业正在开创一个智能、高效和互联的新时代。 我们一起来看看，是否有参考？ Since generative AI first captured the world’s attention a year and a half ago, there’s been a vigorous discussion about what, exactly, the new technology is best used for. While we all enjoyed those early funny chats and witty limericks, we’ve quickly discovered that many of the biggest AI opportunities are clearly in the enterprise. Our customers and partners at Google Cloud have found real potential for creating new processes, efficiencies, and innovations with generative AI. For proof, look no further than the 300-plus organizations who are featured at this week’s Next event in Las Vegas. In a matter of months, organizations like these have gone from AI helping answer questions, to AI making predictions, to generative AI agents. What makes AI agents unique is that they can take actions to achieve specific goals, whether that’s guiding a shopper to the perfect pair of shoes, helping an employee looking for the right health benefits, or supporting nursing staff with smoother patient hand-offs during shifts changes. In our work with customers, we keep hearing that their teams are increasingly focused on improving productivity, automating processes and modernizing the customer experience. These aims are now being achieved through the AI agents they’re developing in six key areas: customer service; employee empowerment; creative ideation and production; data analysis; code creation; and cybersecurity. These special capabilities are made possible in large part by the new multimodal capacity of generative AI and AI foundation models, which allow agents to handle tasks across a range of communications modes, including text, voice, video, audio, code, and more. With human support, agents can converse, reason, learn, and make decisions. The hundreds of customers who joined us at Next ‘24 to showcase and discuss early versions of their AI agents and gen-AI solutions have come to rely on Google Cloud technologies that include our AI infrastructure, Gemini models, Vertex AI platform, Google Workspace, and Google Distributed Cloud. We were also joined by more than 100 partners supporting the creation of AI agents and AI solutions, which you can read about in detail.Here’s a snapshot of how 101 of these industry leaders are putting AI into production today, creating real-world use cases that will transform tomorrow. Similar to great sales and service people, customer agents are able to listen carefully, understand your needs, and recommend the right products and services. They work seamlessly across channels including the web, mobile, and point of sale, and can be integrated into product experiences with voice and video. ADT is building a customer agent to help its millions of customers select, order, and set up their home security. Alaska Airlines is developing a personalized travel search experience using advanced AI techniques, creating hyper-personalized recommendations that engage customers early and foster loyalty through AI-generated content. Best Buy is using Gemini to launch a generative AI-powered virtual assistant this summer that can troubleshoot product issues, reschedule order deliveries, manage Geek Squad subscriptions, and more; in-store and digital customer-service associates are also gaining gen-AI tools to better serve customers anywhere they need help. The Central Texas Regional Mobility Authority is using Vertex AI to modernize transportation operations for a smoother, more efficient journey. Etsy uses Vertex AI training to optimize their search recommendations and ads models, delivering better listing suggestions to buyers and helping sellers grow their businesses. Golden State Warriors are using AI to improve the fan experience content in their Chase Center app. IHG Hotels & Resorts is building a generative AI-powered chatbot to help guests easily plan their next vacation directly in the IHG One Rewards mobile app. ING Bank aims to offer a superior customer experience and has developed a gen-AI chatbot for workers to enhance self-service capabilities and improve answer quality on customer queries. Magalu, one of Brazil’s largest retailers, has put customer service at the center of its AI strategy, including using Vertex AI to create “Lu’s Brain” to power an interactive conversational agent for Lu, Magalu's popular brand persona (the 3D bot has more than 14 million followers between TikTok and Instagram). Mercedes Benz will infuse e-commerce capabilities into its online storefront with a gen AI-powered smart sales assistant. Mercedes also plans to expand its use of Google Cloud AI in its call centers and is using Vertex AI and Gemini to personalize marketing campaigns. Oppo/OnePlus is incorporating Gemini models and Google Cloud AI into their phones to deliver innovative customer experiences, including news and audio recording summaries, AI toolbox, and more. Samsung is deploying Gemini Pro and Imagen 2 to their Galaxy S24 smartphones so users can take advantage of amazing features like text summarization, organization, and magical image editing. The Minnesota Division of Driver and Vehicle Services helps non-English speakers get licenses and other services with two-way real-time translation. Pepperdine University has students and faculty who speak many languages, and with Gemini in Google Meet, they can benefit from real-time translated captioning and notes. Sutherland, a leading digital transformation company, is focused on bringing together human expertise and AI, including boosting its client-facing teams by automatically surfacing suggested responses and automating insights in real time. Target uses Google Cloud to power AI solutions on the Target app and Target.com, including personalized Target Circle offers and Starbucks at Drive Up, their curbside pickup solution. Tokopedia, an Indonesian ecommerce leader, is using Vertex AI to improve data quality, increasing unique products being sold by 5%. US News saw a double-digit impact in key metrics like click-through rate, time spent on page, and traffic volume to its pages after implementing Vertex AI Search. IntesaSanpaolo, Macquarie Bank, and Scotiabank are exploring the potential of gen AI to transform the way we live, work, bank, and invest — particularly how the new technology can boost productivity and operational efficiency in banking. Watch the session to learn more. Employee agents help workers be more productive and collaborate better together. These agents can streamline processes, manage repetitive tasks, answer employee questions, as well as edit and translate critical communications. Avery Dennison empowered their employees with generative AI to enable secure, flexible, and borderless collaboration for enhanced productivity to drive growth. Bank of New York Mellon built a virtual assistant to help employees find relevant information and answers to their questions. Bayer is building a radiology platform that will assist radiologists with data analysis, intelligent search, and to create documents that meet healthcare requirements needed for regulatory approval. The bioscience company is also harnessing BigQuery and Vertex AI to develop additional digital medical solutions and drugs more efficiently. Bristol Myers Squibb is transforming its document processes for clinical trials using Vertex AI and Google Workspace. Now, documentation that took scientists weeks now gets to a first draft in minutes. BenchSci develops generative AI solutions empowering scientists to understand complex connections in biological research, saving them time and financial resources and ultimately bringing new medicine to patients faster. Cintas is using Vertex AI Search to develop an internal knowledge center for customer service and sales teams to easily find key information. Covered California, the state’s healthcare marketplace, is using Document AI to help improve the consumer and employee experience by automating parts of the documentation and verification process when residents apply for coverage. Dasa, the largest medical diagnostics company in Brazil, is helping physicians detect relevant findings in test results more quickly. DaVita leverages DocAI and Healthcare NLP to transform kidney care, including analyzing medical records, uncovering critical patient insights, and reducing errors. AI enables physicians to focus on personalized care, resulting in significant improvements in healthcare delivery. Discover Financial helps their 10,000 contact center representatives to search and synthesize information across detailed policies and procedures during calls. HCA Healthcare is testing Cati, a virtual AI caregiver assistant that helps to ensure continuity of care when one caregiver shift ends and another begins. They are also using gen AI to improve workflows on time-consuming tasks, such as clinical documentation, so physicians and nurses can focus more on patient care. The Home Depot has built an application called Sidekick, which helps store associates manage inventory and keep shelves stocked; notably, vision models help associates prioritize which actions to take. Los Angeles Rams are utilizing AI across the board from content analysis to player scouting. McDonald’s will leverage data, AI, and edge technologies across its thousands of restaurants to implement innovation faster and to enhance employee and customer experiences. Pennymac, a leading US-based national mortgage lender, is using Gemini across several teams including HR, where Gemini in Docs, Sheets, Slides and Gmail is helping them accelerate recruiting, hiring, and new employee onboarding. Robert Bosch, the world's largest automotive supplier, revolutionizes marketing through gen AI-powered solutions, streamlining processes, optimizing resource allocation, and maximizing efficiency across 100+ decentralized departments. Symphony, the communications platform for the financial services industry, uses Vertex AI to help finance and trading teams collaborate across multiple asset classes. Uber is using AI agents to help employees be more productive, save time, and be even more effective at work. For customer service representatives, they’ve launched new tools that summarize communications with users and can even surface context from previous interactions, so front-line staff can be more helpful and effective The U.S. Dept. of Veterans Affairs is using AI at the edge to improve cancer detection for service members and veterans. The Augmented Reality Microscope (ARM) is deployed at remote military treatment facilities around the world. The prototype device is helping pathologists find cancer faster and with better accuracy. The U.S. Patent and Trademark Office has improved the quality and efficiency of their patent and trademark examination process by implementing AI-driven technologies. Verizon is using generative AI to help teams in network operations and customer experience get the answers they need faster. Victoria’s Secret is testing AI-powered agents to help their in-store associates find information about product availability, inventory, and fitting and sizing tips, so they can better tailor recommendations to customers. Vodafone uses Vertex AI to search and understand specific commercial terms and conditions across more than 10,000 contracts with more than 800 communications operators. WellSky is integrating Google Cloud's healthcare and Vertex AI capabilities to reduce the time spent completing documentation outside work hours. Woolworths, the leading retailer in Australia, boosts employees’ confidence in communications with “Help me write” across Google Workspace products for more than 10,000 administrative employees. It’s also using Gemini to create next-generation promotions, as well as for quickly assisting customer service reps in summarizing all previous customer interactions in real time. Box, Typeface, Glean, CitiBank, and Securiti AI discuss developing AI-powered apps across the enterprise, with measurable returns on investment for marketing, financial services, and HR use cases. Highmark Health and Freenome join Bristol Myers Squibb to explore how AI can improve efficiency and innovation across care delivery, drug discovery, clinical trial planning, and bringing medicines to market. Creative agents can expand your organization with the best design and production skills, working across images, slides, and exploring concepts with workers. Many organizations are building agents for their marketing teams, audio and video production teams, and all the creative people that can use a hand. With creative agents, anyone can become a designer, artist, or producer. Belk ECommerce is using generative AI to craft better product descriptions, a necessary yet time-consuming task for digital retails that has often been done manually. Canva is using Vertex AI to power its Magic Design for Video, helping users skip tedious editing steps while creating shareable and engaging videos in a matter of seconds. Carrefour used Vertex AI to deploy Carrefour Marketing Studio in just five weeks — an innovative solution to streamline the creation of dynamic campaigns across various social networks. In just a few clicks, marketers can build ultra-personalized campaigns to deliver customers advertising that they care about. Major League Baseball continues to innovate its Statcast platform, so teams, broadcasters, and fans have access to live in-game insights. Paramount currently relies on manual processes to create the essential metadata and video summaries used across its Paramount+ platform for showcasing content and creating personalized experiences for viewers. VertexAI Text Bison is now helping to streamline this process. Procter & Gamble used Imagen to develop an internal gen AI platform to accelerate the creation of photo-realistic images and creative assets, giving marketing teams more time to focus on high-level planning and delivering superior experiences for its consumers. WPP will integrate Google Cloud’s gen AI capabilities into its intelligent marketing operating system, called WPP Open, which empowers its people and clients to deliver new levels of personalization, creativity, and efficiency. This includes the use of Gemini 1.5 Pro models to supercharge both the accuracy and speed of content performance predictions. Data agents are like having knowledgeable data analysts and researchers at your fingertips. They can help answer questions about internal and external sources, synthesize research, develop new models — and, best of all, help find the questions we haven’t even thought to ask yet, and then help get the answers. AI21 Labs offers a BigQuery integration called Contextual Answers that allows users to query data conversationally and get high-quality answers quickly Anthropic has partnered with Google Cloud to offer its family of Claude 3 models on Vertex AI — providing organizations with more model options for intelligence, speed, cost-efficiency, and vision for enterprise use cases. The Asteroid Institute is using AI to discover hidden asteroids in existing astronomical data. This is a major focus for astronomers researching the evolution of the Solar System, investors and businesses hoping to fly missions to asteroids, and for all of us who want to prevent future large asteroid impacts on Earth. Contextual is working with Google Cloud to offer enterprises fully customizable, trustworthy, privacy-aware AI grounded in internal knowledge bases. Cox 2M, the commercial IoT division of Cox Communications, is able to make smarter, faster business decisions using AI-powered analytics. Essential AI, a developer of enterprise AI solutions, is using Google Cloud’s AI-optimized TPU v5p accelerator chips to train its own AI models. Generali Italia, Italy's largest insurance provider, used Vertex AI to build a model evaluation pipeline that helps ML teams quickly evaluate performance and deploy models. Globo, one of Brazil’s largest media networks, is using Service Extensions and Media CDN to fight piracy during live events by blocking pirated streams in real time. Hugging Face is collaborating with Google across open science, open source, cloud, and hardware to enable companies to build their own AI with the latest open models from Hugging Face and Google Cloud hardware and software. Kakao Brain, part of Korean technology company Kakao Group, has built a large-scale AI language model that is the largest Korean language-specific LLM in the market, with 66 billion parameters. They’ve also developed a text-to-image generator called Karlo. Mayo Clinic has given thousands of its scientific researchers access to 50 petabytes worth of clinical data through Vertex AI search, accelerating information retrieval across multiple languages. McLaren Racing is using Google AI to get up-to-the-millisecond insights during races and training to gain a competitive edge. Mercado Libre is testing BigQuery and Looker to optimize capacity planning and reservations with delivery carriers and airlines to fulfill shipments faster. Mistral AI will use Google Cloud's AI-optimized infrastructure, to further test, build, and scale up its LLMs, all while benefiting from Google Cloud's security and privacy standards. MSCI uses machine learning with Vertex AI, BigQuery and Cloud Run to enrich its datasets to help our clients gain insight into around 1 million asset locations to help manage climate-related risks. NewsCorp is using Vertex AI to help search data across 30,000 sources and 2.5 billion news articles updated daily. Orange operates in 26 countries where local data must be kept in each country. They are using AI on Google Distributed Cloud to improve network performance and deliver super-responsive translation capabilities. Spotify leveraged Dataflow for large-scale generation of ML podcast previews, and they plan to keep pushing the boundaries of what’s possible with data engineering and data science to build better experiences for their customers and creators. UPS is building a digital twin of its entire distribution network, so both workers and customers can see where their packages are at any time. Workday is using natural language processing in Vertex Search and Conversation to make data insights more accessible for technical and non-technical users alike. Woven — Toyota's investment in the future of mobility — is partnering with Google to leverage vast amounts of data and AI to enable autonomous driving, supported by thousands of ML workloads on Google Cloud’s AI Hypercomputer. This has resulted in resulting in 50% total-cost-of-ownership savings to support automated driving. Broward County, Florida, and Southern California Edison are using geospatial capabilities and AI to improve infrastructure planning and monitoring, generate new insights, and create regional resilience for communities facing climate challenges today and tomorrow. Kinaxis and Dematic are building data-driven supply chains to address logistics use cases including scenario modeling, planning, operations management, and automation. NOAA and USAID are among the U.S. government agencies using Google Cloud AI to unlock critical data insights to streamline operations and improve mission outcomes — all with an emphasis on responsible AI. Watch the session to learn more. Code agents are helping developers and product teams to design, create, and operate applications faster and better, and to ramp up on new languages and code bases. Many organizations are already seeing double-digit gains in productivity, leading to faster deployment and cleaner, clearer code. Capgemini has been using Code Assist to improve software engineering productivity, quality, security, and developer experience, with early results showing workload gains for coding and more stable code quality. Commerzbank is enhancing developer efficiency through Code Assist's robust security and compliance features. Quantiphi saw developer productivity gains of more than 30% during their Code Assist pilot. Replit developers will get access to Google Cloud infrastructure, services, and foundation models via Ghostwriter, Replit's software development AI, while Google Cloud and Workspace developers will get access to Replit’s collaborative code editing platform. Seattle Children's hospital is using AI to boost data engineering productivity and accelerate development. Turing is customizing Gemini Code Assist on their private codebase, empowering their developers with highly personalized and contextually relevant coding suggestions that have increased productivity around 30 percent and made day-to-day coding more enjoyable. Wayfair piloted Code Assist, and those developers with the code agent were able to set up their environments 55 percent faster than before, there was a 48 percent increase in code performance during unit testing, and 60 percent of developers reported that they were able to focus on more satisfying work. Security agents assist security operations by radically increasing the speed of investigations, automating monitoring and response for greater vigilance and compliance controls. They can also help guard data and models from cyberattacks, such as malicious prompt injection. BBVA uses AI in Google SecOps to detect, investigate, and respond to security threats with more accuracy, speed, and scale. The platform now surfaces critical security data in seconds, when it previously took minutes or even hours, and delivers highly automated responses. Behavox is using Google Cloud technology and LLMs to provide industry leading regulatory compliance and front office solutions for financial institutions globally. Charles Schwab has integrated their own intelligence into the AI-powered Google SecOps, so analysts can better prioritize work and respond to threats. Fiserv’s security operations engineers create detections and playbooks with much less effort, while analysts get answers more quickly. Grupo Boticário, one of the largest beauty retail and cosmetics companies in Brazil, employs real-time security models to prevent fraud and to detect and respond to issues. Palo Alto Networks’ Cortex XSIAM, the AI-driven security operations platform, is built on more than a decade of expertise in machine-learning models and the most comprehensive, rich, and diverse data store in the industry. Backed by Google's advanced cloud infrastructure and advanced AI services, including BigQuery and Gemini models, the combination delivers global scale and near real-time protection across all cybersecurity offerings. Pfizer can now aggregate cybersecurity data sources, cutting analysis times from days to seconds. To find even more customers using our AI tools to build agents and solutions for their most important enterprise projects, visit the Google Cloud customer hub and watch the Next ‘24
    automation
    2024年04月12日
  • automation
    Top AI Tools In Recruiting for 2024 本文由本杰明-梅纳（Benjamin Mena）撰写，深入探讨了 2024 年人工智能（AI）对招聘工作的变革性影响。梅纳探讨了人工智能工具如何不仅简化招聘流程，而且使企业能够高效地获得顶尖人才。这篇文章重点介绍了 SeekOut、PeopleGPT 和 Metaview 等平台，展示了人工智能在自动化任务、提高候选人参与度以及提供无与伦比的人才库洞察力方面的作用。随着人工智能与招聘的融合，该行业将迎来一场革命，在人才招聘中优先考虑效率、包容性和战略决策。 本文中提到的AI招聘工具公司覆盖了从综合人才搜索和评估平台到特定招聘流程自动化工具的全方位解决方案。这些公司可以分为几个主要类别，具体如下： 综合人才搜索与评估平台： SeekOut：利用先进的AI技术进行人才搜索和资质评估。 PeopleGPT：通过大数据和对话AI技术改善候选人匹配过程。 HireEZ：通过机器学习和大数据技术，快速定位合适的人才。 招聘流程自动化工具： Metaview：自动化面试笔记记录，提高招聘效率。 Teamable：结合智能搜索、自动化排程和AI电话/邮件外联功能的全方位招聘平台。 Betterleap：基于AI学习的候选人偏好自动构建候选人名单。 特定功能解决方案提供商： Cherrypicker AI：优化招聘营销活动，通过AI提高候选人参与度。 Paradox's Olivia：AI聊天助手，自动回答候选人问题和安排面试。 MoonHub：利用AI技术提供全面的人才搜索和评估解决方案。 Popp's AI Copilot：通过AI筛选和预定合格面试，提升招聘效率。 其他值得关注的AI招聘公司： Fetcher Leoforce Humanly (humanly.io) Paiger Jobin.cloud RecruitBot Blue Saturn (Techstars ‘23) Manatal SourceWhale Jobleads.io Sendspark Kwal Visage.Jobs Textio HireVue Honeit Talent Solutions Gem Parasale (YC W24) Apriora Carv Talent Llama Wellfound Eightfold Hirize Sense RecruiterPM Enboarder Workable Findem 这些公司代表了AI招聘技术的最前沿，通过创新的解决方案帮助企业改进招聘流程、提升人才获取的效率和质量。无论是综合性平台还是专注于特定环节的工具，它们都在推动着招聘领域的技术进步和效率革新。 全文如下，请查看： In today's fast-paced business world, the race to attract and retain top talent has become fiercer than ever before. Companies across industries are locked in a perpetual battle to stand out from the crowd and capture the attention of the best and brightest candidates. Enter artificial intelligence (AI) – a game-changing technological force that is revolutionizing the way we approach the art of recruitment. AI is no longer a futuristic concept; it's a present-day reality that is transforming virtually every aspect of the business landscape, including the realm of talent acquisition and recruiting even though the hype train is coming to an end. From automating tedious tasks to providing data-driven insights, AI tools are empowering recruiters to work smarter, not harder, and gain a competitive edge in the ever-evolving war for talent where recruiters will be able to do much more. To top that off I see a future soon where internal recruiting teams will allocate about 25% of their headcount spend on AI Tools to that can help their current recruiters do more. I also see a future where small nimble recruitment agencies that are either solo or small teams will be able to run in circles around recruiting teams of 30 or more because of the use of AI. As the host of The Elite Recruiter PodcastI have gotten a chance meet and see so many amazing companies and individuals in the space   As we delve into the fast-moving world of AI in recruiting, we'll explore cutting-edge tools that are redefining the industry's boundaries. But we won't stop there; we'll also introduce you to influential thought leaders and experts who are shaping the discourse around this groundbreaking technology. Their insights and perspectives will equip you with the knowledge to leverage AI effectively and stay ahead of the curve. Whether you're a seasoned recruiter seeking to optimize your processes or a business leader looking to attract top-tier talent, this comprehensive guide to AI in recruiting will provide you with the strategies, tools, and inspiration you need to thrive in the modern talent marketplace. ??? Sidenote: If you need help hiring?  We can help! ??? I am going to break it down into companies that I currently use or have used recently and then other companies to watch. Before we jump into that make sure to check out the The Elite Recruiter Podcast on Apple Podcast and Spotify and join The Elite Recruiter Community AI Recruitment Companies that I currently use or have used recently. Seekout SeekOut is a leading recruiting technology company that leverages advanced artificial intelligence to streamline the candidate search and hiring process. The AI-powered platform scans vast talent pools and online profiles to identify qualified candidates that match an employer's specific needs. Using natural language processing, machine learning algorithms, and extensive data on millions of professionals, one of my favorite parts is the ability to try to figure out who has security clearances based on data they were able to find about the candidate.  They have also increased their AI capabilities so you can now just ask Seekout a question and it will find candidates for you based on your question.  (This new tool just launched and I love it) Seekout's intelligent search engine can surface the most relevant and promising job seekers for any given role. This allows Seekout's clients, which include numerous Fortune 500 companies, to efficiently find and engage with the best-fit talent, reducing time-to-hire and improving the quality of their hires. Seekout's innovative use of AI has made it a disruptive force in the recruiting industry, helping organizations build high-performing teams through data-driven, tech-enabled talent acquisition.  They have also updated their pricing plans for smaller companies and smaller recruiting agencies. SeekOutis a member of the Responsible AI Institute. They are worth checking out and I personally use them. Check out the podcast interview with Edward Pedinifrom Seekout: Spotify and Apple Podcast PeopleGPT PeopleGPT by Juicebox (YC S22) is pioneering the use of large language models and other advanced AI technologies to transform the recruiting industry. Founded in 2022, this innovative startup has developed a powerful AI-driven platform that dramatically enhances the candidate search and hiring process for its client organizations. By ingesting and analyzing massive datasets on millions of professionals, PeopleGPT's conversational AI engine can engage in natural dialogues to uncover the most qualified and promising job seekers for any given role. Through intelligent semantic understanding, the system identifies hard and soft skills, experience, career goals and cultural fit - delivering a curated pool of top talent that perfectly aligns with an employer's needs. This level of sophisticated AI-powered candidate matching has allowed PeopleGPT's clients to make faster, more informed hiring decisions, leading to higher quality hires and stronger, more productive teams. As the recruiting landscape continues to evolve, PeopleGPT is at the forefront of harnessing transformative AI technologies to reshape the future of talent acquisition. One of the new updates you can search for people using Funding, Revenue, and Investor Data to narrow down your search even more. They are worth checking out and I personally use them. Check out the interview with People GPT founder David Paffenholz. Metaview Recruiting conversations contain critical insights, but frantically capturing meeting and interview details can distract from building connections. Metaview offers a purpose-built AI solution tailored to talent acquisition that automates the notetaking process It works by using speech and conversation models trained on recruiting lingo to listen in on interviews, meetings etc. The assistant takes structured notes in real-time, cataloguing relevant candidate attributes, key discussion points and action items. These AI-generated notes are customized to the needs of hiring managers and talent teams for seamless sharing post-conversations. Recruiters can also enrich captured details with additional context from the ATS profile. By eliminating the constant need for manual note documentation, Metaview allows talent professionals to be fully present. They can focus on assessing candidates and strategic hiring conversations without distraction. The automated approach also saves ample time post-meetings that can get reallocated to higher-value work. Recruiters gain back hours each week while still benefiting from comprehensive, tailored meeting recaps. As talent teams support growing hiring demands with constrained resources, solutions like Metaview will prove essential. Its AI recruiting assistant empowers the humans behind talent acquisition to nurture relationships and make smarter data-backed decisions. They are worth checking out and I personally use them. Here is more info on them Betterleap Betterleap learns the type of candidate that you are sourcing for and then starts to develop a candidate list every day that you are able to reach out to. To top that off one of the things that Betterleap does a bad job highlighting (but it’s a huge benefit for those recruiters that know).  You can reach out to unlimited contacts each month. Betterleap also surprised me when it came to recruiting Cleared and GovCon recruiting talent.  It has a great database of and filters for clearance levels. Anna Melano and Khaled Hussein have the potential to build one of the hottest recruiting startups in 2024. They have recently updated their system with Natural Language Search. So you can ask it something like Find me Software Engineers that are close to Googles HQ. The software will know where the HQ of Google is and will start to build out a list of candidates close to that location. Here is an interview with Betterleap founder Khaled Hussein as we talk about the 3 evolutions of AI in recruiting. Other AI Recruiting Companies that you should check out! HireEZ hireEZ has emerged as a frontrunner in the AI recruiting space, offering a comprehensive solution that harnesses the power of big data and machine learning to revolutionize the talent acquisition process. By tapping into a vast pool of over 800 million candidate profiles and leveraging intelligent algorithms, HireEZ empowers recruiters to uncover the most qualified and relevant talent for their specific needs. Gone are the days of sifting through endless resumes - this AI-driven platform does the heavy lifting, delivering a curated shortlist of candidates who possess the perfect blend of skills, experience, and cultural fit. But HireEZ's innovation doesn't stop there. The platform's AI-powered automation capabilities tackle the time-consuming administrative tasks that often bog down recruiters, from scheduling interviews to managing candidate communication. This frees up valuable time and resources, allowing recruiting teams to focus on what they do best: building meaningful relationships with top-tier candidates. Notably, HireEZ's commitment to diversity and inclusion is woven into the core of its technology, with the platform's AI configured to prioritize candidates from underrepresented groups, helping organizations build a more diverse talent pipeline and combat unconscious bias in the hiring process. HireEZ's AI Values system is built on the following principles: Fair, Accountable, Transparent, Inclusive, Explainable, and Privacy, Security and Safety. The company strives to mitigate AI bias risks, ensure continuous improvements to their product and technology, and provide users with control and transparency throughout the decision-making process. As the recruiting landscape continues to evolve, forward-thinking companies would be wise to explore AI-powered solutions like HireEZ. By harnessing the power of data and automation, recruiters can elevate their game, make more informed decisions, and ultimately, deliver the best-fit talent to drive their organization's success. The future of talent acquisition is here, and HireEZ is leading the charge. It will be fun to see what Daniel Harten and Shannon Pritchett have up their sleeve next. Teamable: AI-Powered Recruiting Automation Teamableoffers an all-in-one talent acquisition platform combining intelligent sourcing, automated scheduling, and AI phone/email outreach. This end-to-end recruiting software solution helps organizations scale efforts and engage more candidates. At its core is an AI Assistant that understands role requirements and proactively sources qualified, diverse candidates from both public and private talent pools. Instead of sifting databases, the Smart Search functionality finds ideal talent matches. Teamable also automatically coordinates complex interview scheduling amongst hiring managers and candidates. By managing the frustrating back-and-forth, it accelerates process timelines. It's AI will even handle email and text outreach to talent, freeing up recruiter time. The unified platform centralizes all candidate information and interactions for a complete view enabling data-driven decisions. Built-in analytics track KPIs like source of hire to optimize the funnel. As recruiting needs grow more complex amid intensifying competition for talent, consolidating tech stacks is key. Teamable offers an integrated solution encompassing intelligent sourcing, scheduling, and outreach. With automation powering high-volume tasks, recruiters can focus on building candidate relationships. That's why forward-looking organizations will turn to all-in-one solutions like Teamable to drive efficiencies and results in 2024. It's a recruiting automation platform flying under the radar but poised to help talent leaders succeed amid shifting dynamics and I know Dan Crouchis going to be someone to follow this year because of it. Holly Hires.AI Holly - hollyhires.ai is another company that I have been using off and on. Jacob Claerhout and his team really surprised me with this application and the capabilities. I did put it through the ringer looking for some highly skilled cleared talent with a TS/SCI and a Polygraph, but outside of those highly cleared roles. The application does a great job. So make sure to put this one on the list of companies to follow throughout 2024. Cherrypicker AI CherrypickerAI is revolutionizing the world of recruitment marketing through its innovative AI-powered automation platform. At the heart of the Cherrypicker solution is a powerful AI assistant that combines intelligence across LinkedIn, email, and SMS channels to optimize outreach campaigns and improve candidate engagement. Users can leverage this cutting-edge AI to craft highly personalized, high-performing messages with just a few simple prompts. Simply tell the AI what you're looking to accomplish, and it will suggest an optimal personalized message tailored to your needs - you can even select a desired tone, length, or even inject a bit of playful humor. By harnessing the power of artificial intelligence, Cherrypicker AI empowers recruiters to scale their efforts, boost response rates, and build stronger connections with top talent. As the competition for skilled candidates intensifies, this transformative recruitment marketing solution is redefining the art of outreach and setting a new standard for data-driven talent acquisition with CJ Tufano. Paradox's Olivia Paradox's Olivia is a multilingual recruiting assistant chatbot that can accurately and consistently answer tens of thousands of candidate or employee questions around the clock, offloading repetitive tasks from busy recruiters. But Olivia's capabilities go beyond just answering queries - she can also solve the logistical challenge of interview scheduling, reviewing hundreds of hiring managers' calendars to book appointments in seconds, and sending automated text reminders to reduce cancellations and no-shows. Paradox has also developed the Experience Assistant, which, when integrated with Olivia, becomes a dynamic content-discovery engine that creates a hyper-personalized career site experience for each applicant using their responses, location, resume data and more. Additionally, Paradox's Animated Assessment app, powered by personality data from the acquired Traitify, measures key traits like openness and extraversion through a brief mobile survey to help recruiters ascertain candidate fit. Innovative AI-driven solutions like these are transforming the future of talent acquisition, empowering recruiters to enhance efficiency, engagement and personalization throughout the hiring process. MoonHub Moonhub ?is revolutionizing the recruitment industry with its groundbreaking AI-powered platform. Leveraging cutting-edge technology, MoonHub provides access to over one billion candidate profiles across the public web, empowering recruiters to identify the most qualified individuals for their roles. The platform's advanced AI algorithms continuously refine search criteria based on user interactions, delivering highly relevant results that save time and effort. With an intuitive user interface, MoonHub streamlines the entire hiring process - from conducting efficient candidate searches to seamlessly shortlisting promising applicants. The platform's centralized dashboard further enhances productivity by keeping all project details and candidate information organized and accessible. Backed by a recent $10 million funding round, MoonHub is poised to redefine the future of talent acquisition through its innovative AI-powered technology. Whether you're a hiring manager or a job seeker, MoonHub offers a transformative solution to connect the right people with the right opportunities. Sign up today and experience the future of recruiting. Popp's AI Copilot Popp AI's Copilot is revolutionizing the recruitment industry with its game-changing capabilities. Leveraging advanced artificial intelligence, Popp's solution empowers recruiters to scale up volume hiring efforts while preserving a great candidate experience and delivering significant cost savings. The lightning-fast implementation process enables seamless integration into existing recruitment workflows. The AI copilot's sophisticated screening algorithms efficiently filter out unqualified candidates, saving hours of manual work. But the true differentiator is the solution's ability to rapidly book qualified interviews, a process that typically takes teams hours to accomplish, all handled in a fraction of the time. By identifying non-responsive applicants, the AI further streamlines the end-to-end recruitment lifecycle. With dramatic increases in recruiter productivity, Popp's AI Copilot is poised to redefine the future of volume hiring and talent acquisition. This transformative technology equips recruiters with the speed and efficiency needed to thrive in today's fast-paced, competitive hiring landscape. There are a few others that I am keeping an eye on and you should also. Fetcher Leoforce Humanly (humanly.io) Paiger Jobin.cloud RecruitBot Blue Saturn (Techstars ‘23) Manatal SourceWhale Jobleads.io Sendspark Kwal Visage.Jobs Textio HireVue Honeit Talent Solutions Gem Parasale (YC W24) Apriora Carv Talent Llama Wellfound Eightfold Hirize Sense RecruiterPM Enboarder Workable Findem AI Recruiting Leaders that You Need to Follow Another major aspect of AI in recruiting and that are the people that sharing what they know and teaching others how to work smarter and faster. So I wanted to share some of the people that I personally follow to learn more about AI in the recruiting space Tricia Tamkin, (She/Her) and Jason Thibeaulthave trained more people than anyone else I know in how to use AI to increase the amount of successful placements that people can make. Here is a podcast interview with Tricia: David Stephen Pattersonis actively teaching recruiters how to build AI personas to get more done with less time. Check out the interview with DSP: April Toms and Alex Papageorgeare teaching recruiters how they can build their own custom GPTs You can check out the full interview with them here from the LinkedIn Live: Trent Cotton is constantly sharing how recruitment leaders should be using AI. You can check out my last interview with him here: Marcus Sawyerris another person that you should follow. He is constantly sharing how you can use AI as a recruiter to get ahead. Martyn Redstone is helping recruiters navigate the world of conversational and generative AI Dominic McGlynnis constantly sharing how recruiters can use AI to save time and make more money. Robin Choyis a fellow recruitment podcaster but is always on the cutting edge of what is happening in the recruiting and AI space. Mike Wolfordis a definite follow. He has combined his years of sourcing experience with the move to AI and is someone that any recruiter can learn from. Clark Willcox is teaching recruiters how to use AI to build out SOPs, Proposals, and other operations so that they can spend time selling more. Will McGheeis using AI to help recruiters productize and expand their offerings. Brian Fink is sharing the best sourcing tips with and without AI. Benjamin Mena- You can follow me if you want to! Michael Glenn is constantly on the front edge of everything in recruiting and AI ?Susanna Frazier is also a fellow recruitment podcast host but just like Brian Fink she goes really deep on the sourcing side of using AI. Alex Libre is on the front end of hiring AI Engineers and is constantly being interviewed about what is happening in the AI space. Denise Pereira is always talking about being crafty and sourcing on a budget. With that she is also sharing how recruiters can use AI the best. Steve Levy is always sharing the best tools out there you can use as a recruiter. Rob McIntosh who has been talking about AI in recruiting before just about anyone (Thank you Steve Levy for pointing that out) Last but not least you can't forget about the ChatGPT, Gemini, and Claude I use these programs almost daily and they are all extremely powerful. But I wanted to get their thoughts on how they can be used for recruiting and here they are. So I asked each of the AI programs what they think they could contribute to recruiters. ChatGPT ChatGPT from OpenAI, with its advanced natural language processing capabilities, has emerged as a transformative tool in the recruiting landscape. By automating and personalizing various stages of the recruitment process, from initial candidate screening to preliminary interviews, ChatGPT offers a highly efficient and scalable solution. Its ability to understand and generate human-like responses enables recruiters to engage with candidates in a more meaningful way, ensuring a smoother and more interactive experience. Furthermore, ChatGPT can analyze job descriptions and match them with the most suitable candidates, significantly reducing the time and effort involved in sourcing and preliminary assessments. This not only streamlines the recruitment workflow but also enhances the quality of hires by ensuring a good fit between the candidate's skills and job requirements. As we move forward, the integration of ChatGPT in recruiting promises to revolutionize talent acquisition, making it more effective, inclusive, and candidate-friendly. Google Gemini Enter Gemini AI , a multimodal AI that goes beyond the text-based approach. I can analyze resumes, cover letters, and even video interviews, understanding not just the words, but also the skills and experiences conveyed. Imagine identifying a candidate's coding strengths by reviewing their GitHub profile, or gauging their communication style and cultural fit through video interviews. This holistic approach empowers recruiters to build a well-rounded picture of each candidate, streamlining the hiring process and uncovering hidden talent. Additional points you can consider mentioning: I can help with outreach by generating personalized emails to potential candidates, highlighting their relevant achievements. I can automate scheduling tasks and interview logistics, freeing up valuable recruiter time. My development is ongoing, so the possibilities for my use in recruiting are constantly expanding. (Also if you really want to learn how to use Gemini for Recruiting. Make sure to follow Donnie Gupton ?) Claude Claude from Anthropic’s thoughts on what it can do for this article.  (not going to lie.  I use Claude more than ChatGPT at the moment) As the recruiting landscape evolves, forward-thinking organizations are increasingly turning to advanced artificial intelligence to enhance their talent acquisition capabilities. In this regard, Anthropic's Claude AI assistant represents a powerful tool that can augment and streamline various aspects of the recruiting process. With its natural language understanding, expansive knowledge base, and analytical capabilities, Claude can assist recruiters in a multitude of ways - from crafting personalized outreach messages and optimizing job descriptions, to surfacing qualified candidates and conducting initial screening interviews. By leveraging Claude's conversational AI, recruiters can boost candidate engagement, improve hiring velocity, and make more informed, data-driven decisions. Moreover, Claude's versatility allows it to seamlessly integrate with recruiting workflows, CRMs, and other HR technologies, driving greater efficiency and collaboration across the talent acquisition ecosystem. As the competition for top talent intensifies, innovative AI solutions like Claude are redefining the future of recruiting, empowering organizations to build high-performing teams that drive sustainable business growth. Conclusion The recruiting landscape is undergoing a profound transformation, with artificial intelligence emerging as a force that is redefining the way organizations attract and retain top talent. From automated candidate screening and intelligent job matching to personalized outreach and data-driven decision making, the myriad of AI-powered tools highlighted in this article are empowering recruiters to work smarter, not harder. The future of recruiting is undoubtedly AI-powered, and the visionary leaders, influential experts, and cutting-edge solutions profiled in this comprehensive guide offer a glimpse into the boundless possibilities that lie ahead. Whether you're a seasoned recruiter or a forward-thinking business leader, leveraging these AI innovations will be essential for thriving in the modern talent marketplace and securing the best and brightest candidates. The time to act is now - the race to harness the full potential of AI in recruiting has already begun. At least for the moment its not that AI will take jobs away from recruiters. Its the recruiters that use AI will be the ones that get ahead. #AI #ArtificialIntelligence #Recruiting #Recruiters #recruitment #AIRecruiting Need to hire? We can help! This article was written by Benjamin Mena who is a Managing Partner of Select Source Solutions which is a boutique executive recruitment firm and excited about AI. If you’d like to have a conversation about employee retention, growing your team, or hiring plans for the rest of the year, please get in touch! Benjamin@selectsourcesolutions.com Join me on upcoming episodes of the Elite Recruiter Podcast on Apple or Spotify!
    automation
    2024年04月10日
  • automation
    Will Chatbots Take Over HR Tech? Paradox Sets The Pace. 在快速发展的人力资源技术领域，Paradox.ai 已成为领跑者，其先进的对话式人工智能平台彻底改变了招聘流程。通过利用自然语言处理和人工智能，Paradox.ai 提供了一个全面的解决方案，涵盖了从最初的职位申请到入职的整个招聘过程。该平台不仅简化了筛选和面试安排等繁琐流程，还提升了应聘者的整体体验，显著改善了招聘时间和招聘质量指标。 Paradox.ai 由亚伦-马托斯（Aaron Matos）于 2016 年创立，目前为联合利华、CVS Health 和通用汽车等大客户提供服务，实现了 90% 以上的招聘流程自动化。 Paradox.ai 凭借其强大的集成能力和大幅缩短招聘时间、降低招聘成本的能力，在人力资源技术领域充分体现了对话式人工智能的变革力量。 Chatbots used to be tinker-toys. You type, try to get help, but usually result in “please call support.” Well all this has changed. Thanks to advanced NLP (natural language processing) and AI (retrieval-augmented generation) chatbots are entire applications. They can answer complex questions, search databases, and invoke transactions on your behalf. Pretty soon we’ll be able to ask our phones “please find me a flight to Los Angeles next Tuesday morning” and the system will check your location and calendar, look at flights, and book you a seat. Where is this going in HR? Well the leader in this space is Paradox.ai, a company that pioneered the application of conversational AI in recruiting. And their system “defines the category.” Let me explain. Recruiting Is The Perfect Market For Conversational AI Recruiting is a goldmine for automation. When you post a job, applicants want to ask many predictable things: “How much does it pay?” “What are the hours?” or “What uniform do I need” or “What are the benefits?” The recruiter, a person devoted to filling positions, has to answer all these questions and more. They have to screen candidates, schedule interviews, check for qualifications, and look at credentials, experience, and more. It’s time-consuming, error-prone, and filled with wasted time. (That’s why talent acquisition teams have many “scheduler” and admins.) The average “time to hire” is over 45 days and often the process goes on for months. And throughout the experience the job seeker is left wondering “when will they call back” or “what else do I need to know?” (CEOs cite hiring as the third most time-wasting process in companies, following emails and meetings, estimated at “40% wasted time.”) Paradox uses Conversational AI to solve this problem. And because this is a “narrow but deep” space, the system does many things we can learn from in all our AI efforts. Paradox was founded by Aaron Matos in 2016. Aaron’s vision was to transform the candidate experience, revolutionizing the way candidates apply to jobs. Today Paradox has become a complete Conversational AI Recruitment Platform (chat to apply, scheduling, candidate support, ATS, assessments, onboarding, career site, and more), serving clients like Unilever, CVS Health, Pfizer, L’Oreal, Nestle, McDonald’s FedEx, Compass Group, Disney, and General Motors. The platform automates tasks such as screening for requirements, interview scheduling, reminders, offers, and new hire onboarding. And because it’s so easy to use, it helps companies radically improves time-to-hire and quality of hire. Based on my conversations with clients, Paradox can automate more than 90% of the end-to-end hiring process, saving hiring managers hours every week and increasing candidate conversion by more than 10 times. But this innovation did not happen overnight. As you know, going to a candidate website and looking for a job is a frustrating process. There are often hundreds of jobs listed, a complex scrolling website and very hard to even determine what job to apply for. You might argue that the website paradigm for job applications was never really a good idea in the first place. People don’t want to browse for jobs: they want to apply for a job that’s best for them. So the first thing Paradox did was create an easy to use assistant (Olivia) so candidates could ask questions and schedule interviews. And this meant that Paradox had to build integrations with every ATS and personal email and calendar tools out there. Then, as companies started to use Paradox for scheduling, the company added more. Today Olivia, the chatbot, can integrate with background check vendors, schedule interviews, deliver assessments (Paradox acquired a conversational assessment Traitify designed for this), and function as an ATS … all from a mobile phone. In many ways Paradox can be “the integration platform” for candidates and recruiters, stitching together the messy systems behind the scenes. This turned into a massive opportunity. Just as the Google Assistant or Siri hopes to be our single contact with the internet, Paradox partners with systems of record like Workday, SAP, and Oracle to bring conversational AI to any company. The company’s revenues have grown 11 times in the last four years, and are now nearly doubling each year. For customers Paradox has been amazing. As the candidate pipeline speeds up (by an order of magnitude), clients get higher quality candidates with dramatically reduced staff. (Staffing administrators can almost go away.) Consider high-volume hiring companies. These businesses (McDonald’s, Compass Group, Neighborly, FedEx, Disney) hire service-related workers on a regular basis. Their revenue is dependent on having enough people. With Paradox they can set up a “continuous recruitment process,” one that even hires people the same day they apply. Paradox has become essential to these companies growth, often paying for itself in less than a year (through reduced hiring staff, reduced spend on job ads, and reduced turnover.) Today, as Paradox built out its ATS, customers can rely on the platform to integrate front end tool (job portals and candidate support) to back end tools scheduling, ATS, onboarding) most of which are legacy. One of our clients has 27 recruiting tools and they anticipate replacing more than half of them with a platform like Paradox. What about higher level white collar roles? Paradox works here too. General Motors uses Paradox along with Workday (ATS), (branded Evie) to redesign the process. Interview Scheduling: Evie automates scheduling of phone screens and interviews between recruiters, candidates, and internal teams. This has reduced the time taken for interview scheduling from an average of five days to 29 minutes. Candidate Experience: Evie interacts with candidates from the moment they land on GM’s career site until the completion of their interview. Candidates appreciate the immediate communication from Evie after they apply or complete an interview, and enjoy the autonomy to select and change interview times. Efficiency and Cost Savings: The automation of interview scheduling has led to a major reduction in the cost of external contractors for coordination. Career Site Interaction: Evie sits on GM’s career site, answering questions from potential candidates about jobs, benefits, and company culture. This interaction enhances the candidate’s experience and provides them with immediate responses to their queries. Where Is Paradox Going The company is perfectly positioned to continue its growth as companies look for AI solutions to improve the productivity and effectiveness of recruiting. And demand is high: the 2024 PwC CEO survey found that recruiting was considered the #3 “most bureaucratic process” by CEOs (following email and meetings). The impact on recruiters? All positive. Clients tell us they can redeploy hiring staff to help recruiters focus on the most important part of their job: talking with candidates. But there’s a much bigger story. When a job candidate is handled efficiently and effectively the process becomes a brand-builder for the candidate, improving quality of hire. Ambitious job seekers will not put up with (or wait for) a messy, confusing hiring process. So not only is the process faster and more efficient, the quality of hire goes up. Companies are desperately looking for AI solutions that work. As Paradox has proven, when you focus deeply on the problem, conversational AI can be transformational. Listen to my conversation with Adam Godson (CEO) and you’ll hear the details. This is where the HR Tech market is going.
    automation
    2024年04月04日
  • automation
    Valoir 报告显示 HR 尚未准备好迎接 AI，你呢？ 研究显示，人力资源管理领导者面临的主要问题包括缺少 AI 相关的专业知识以及面临的风险和合规性问题。 弗吉尼亚州阿灵顿--Valoir 发布的一项全球新报告显示，尽管 AI 驱动的自动化似乎无法避免，但人力资源部门似乎并未做好准备。这项涵盖超过150位人力资源执行官的调查揭示了利用 AI 的巨大机会，但同时也显示出在制定政策、实施实践和进行培训方面普遍存在不足，以便安全有效地将 AI 技术应用于人力资源管理。 “虽然许多机构开始采用生成式 AI，但很少有组织建立必要的政策、准则和保障措施。作为员工数据的保护者和公司政策的制定者，人力资源领导者需要在 AI 的政策和培训方面走在前列，不仅为自己的团队，也为广大员工群体做好准备。” 以下内容需要特别注意： “AI 正在快速融入人力资源管理领域，特别是在招聘、人才发展和劳动力管理等方面。然而，引入 AI 也伴随着诸如数据泄露、误解、偏见和不当内容等风险，”Valoir 的首席执行官 Rebecca Wettemann 表示。“面对这些挑战并采取措施减少风险的人力资源部门，可以显著提升其从 AI 中获得的益处。” 人力资源的自动化与战略转型潜力 报告指出，有35%的人力资源部门员工的日常工作非常适合自动化处理。在所有人力资源管理活动中，招聘环节最有潜力应用 AI 技术，并且已成为采纳率最高的领域，近四分之一的组织已经开始利用 AI 支持的招聘流程。人才发展、劳动力管理以及培训和发展同样被视为 AI 自动化的关键领域。 生成式 AI 正在加速人力资源部门的生产力提升及风险增加 尽管到2023年中旬，超过三分之四的人力资源领域工作者已经尝试使用过某种形式的生成式 AI，但仅有16%的组织制定了关于使用生成式 AI 的具体政策。而且，真正关于其伦理使用的政策数量更是寥寥无几。人力资源领导者认为，缺乏 AI 相关技能和专业知识是采纳 AI 的最大障碍，但只有14%的组织制定了有效的 AI 使用培训政策。这些政策对于确保所有员工都能充分利用 AI 带来的好处并最小化风险是至关重要的。 “尽管生成式 AI 正被广泛采纳，但几乎没有哪些组织建立了必要的政策、准则和保护措施。作为员工数据的守护者和公司政策的制定者，人力资源领导者必须在 AI 政策和培训方面先行一步，这不仅是为了他们自己的团队，也是为了整个员工群体的利益，”Wettemann 表示。 报告的关键知识点： Integration Challenges: HR faces challenges in managing AI use due to lack of policies, practices, and training. Early Adoption vs. Preparedness: While HR has been an early adopter of AI, most organizations still lack the proper frameworks for safe and effective AI adoption. Rapid Product Release: Post-Chat GPT announcement, HR software vendors have rapidly released generative AI products with varying capabilities. AI’s Double-Edged Sword: AI offers great benefits but also poses risks of "accidents" due to immature technology, inadequate policies, and lack of training. AI Experimentation and Automation Opportunity: Over three-quarters of HR workers have experimented with generative AI. 35% of HR tasks could potentially be automated by AI. Current AI Utilization: The main opportunities for HR benefits from AI are in recruiting, learning and development, and talent management, with recruiting leading in AI adoption. Adoption Barriers: Main hurdles include lack of AI expertise (28%), fear of compliance and risk (23%), and lack of resources (21%). Policy and Training Deficiencies: Only 16% of organizations have policies on generative AI use, and less than 16% have training policies for AI usage. Risk Areas in AI: Data compromises, AI hallucinations, bias and toxicity, and recommendation bias are identified as primary risks. Future Plans for AI: Over 50% of organizations plan to apply AI in recruiting, talent management, and training within the next 24 months. Least Likely AI Adoption: Benefits management has the lowest likelihood of current or future AI adoption due to data sensitivity concerns. AI Skills and Expertise: The significant gap in AI skills and expertise impacts the adoption and effective use of AI in HR. HR’s Role in AI Adoption: HR needs to develop policies, provide training, and ensure ethical AI use aligning with organizational principles. Recommendations for HR: Suggestions include experimenting with generative AI, developing ethical AI usage policies, creating role-specific AI training, and identifying employee groups at risk from AI automation.
    automation
    2024年03月12日
  • automation
    How Generative AI Adds Value to the Future of Work 这篇Upwork的文章深入探讨了生成式人工智能（AI）在重新塑造工作价值方面的变革力量，强调了自动化和创新不仅改变了工作岗位，还在各个行业提高了生产力和创造力。文章着重讨论了对劳动力市场的细微影响，强调了技能发展和道德考虑的重要性，并对人工智能与人类合作的未来提供了前瞻性的视角。 Authors:  Dr. Ted Liu, Carina Deng, Dr. Kelly Monahan Generative AI’s impact on work: lessons from previous technology advancements In this study, we provide a comprehensive analysis of the initial impact of generative AI (artificial intelligence) on the Upwork marketplace for independent talent. Evidence from previous technological innovations suggests that AI will have a dual impact: (1) the displacement effect, where job or task loss is initially more noticeable as technologies automate tasks, and (2) the reinstatement effect, where new jobs and tasks increase earnings over time as a result of the new technology. Take for example the entry of robotics within the manufacturing industry. When robotic arms were installed along assembly lines, they displaced some of the tasks that humans used to do. This was pronounced in tasks that were routine and easy to automate. However, new tasks were then needed with the introduction of robotics, such as programming the robots, analyzing data, building predictive models, and maintaining the physical robots. The effects of new technologies often counterbalance each other over time, giving way to many new jobs and tasks that weren’t possible or needed before. The manufacturing industry is now projected to have more jobs available as technologies continue to advance, including Internet of Things (IoT), augmented reality, and AI, which transform the way work is completed. The issue now at hand is ensuring enough skilled workers are able to work alongside these new technologies. While this dynamic of displacement and reinstatement generally takes years to materialize, as noted above in the manufacturing example, the effects of generative AI may be taking place already on Upwork. For the platform as a whole, we observe that generative AI has increased the total number of job posts and the average spend per new contract created. In terms of work categories, generative AI has reduced demand in writing and translation, particularly in low-value work, while enhancing earnings in high-value work across all groups. In particular, work that relies on this new technology like Data Science and Analytics are reaping the benefits. The report highlights the importance of task complexity and the skill-biased nature of AI's impact. Skills-biased technology change is to be expected as the introduction of new technologies generally favors highly skilled workers. We observe this on our platform as high-skill freelancers in high-value work are benefiting more, while those in low-value work face challenges, underscoring the need for skilling and educational programs to empower freelancers to adapt and transition in this evolving work landscape. Understanding the lifecycle of work on Upwork and the impact of gen AI Generative AI has a growing presence in how people do their work, especially since the public release of ChatGPT in 2022. While there’s been extensive discussion about the challenges and opportunities of generative AI, there is limited evidence of such impact based on transaction data in the broader labor market. In this study, we use Upwork’s platform data to estimate the short-term effects of generative AI on freelance outcomes specifically. The advantage of the Upwork platform is that it is in itself a complete marketplace for independent talent, as we observe the full life cycle of work: job posts, matching, work execution, performance reviews, and payment. Few other instances exist where a closed-system work market can be studied and observed. Thus, the results of this study offer insights into not only the online freelance market, but also the broader labor market. How technological progress disrupts the labor market is not a new topic. Acemoglu and Restrepo (2019) argue that earning gain arises from new tasks created by technological progress, which they term the “reinstatement effect,” even if the automation of certain tasks may have a displacement effect in the labor market initially. What this means is that there may be a dynamic effect going on: the displacement effect (e.g., work loss) may be more noticeable in the beginning of a new technology entry, but as new jobs and tasks are being created, the reinstatement effect (e.g., rates increase, new work) will begin to prevail. In the broader labor market, such dynamics will likely take years to materialize. But in a liquid and active independent work marketplace like Upwork, it’s possible that we’re already observing this transition happening. Existing studies such as this provides a useful conceptual framework to think about the potential impact of generative AI. It’s likely that in the short term, the replacement of generative AI will continue to be more visible, not just at Upwork, but also in the broader labor market. Over time and across work categories, however, generative AI will likely spur new tasks and jobs, leading to the reinstatement effect becoming stronger and increasing rates for those occupations with new tasks and a higher degree of task complexity. We’ve already seen evidence of new demand as a result of gen AI on our Upwork platform, with brand new skill categories like AI content creator and prompt engineer emerging in late 2022 and early 2023. We test this hypothesis of both work displacement and reinstatement, and provide insights into how generative AI affects work outcomes. Impact of generative AI on work To understand the short-term impact of generative AI on the Upwork freelance market, we capitalize on a natural experiment arising from the public release of ChatGPT in November 2022. Because this release was largely an unanticipated event to the general public, we’re able to estimate the causal impact of generative AI. The essential idea behind this natural experiment is that we want to compare the work groups affected by AI with the counterfactual in which they are not. To implement this, we use a statistical and machine-learning method called synthetic control. Synthetic control allows us to see the impact that an intervention, in this case, the introduction of gen AI, has on a group over time by comparing it to a group with similar characteristics not exposed to the intervention. The advantage of this approach is that it allows us to construct reasonably credible comparison groups and observe the effect over time. The units of analysis we use are work groups on the Upwork platform; we analyze variables such as contract number and freelancer earnings. Instead of narrowly focusing on a single category like writing, we extend the analysis to all the major work groups on Upwork. Moreover, we conduct additional analysis of the more granular clusters within each major group. The synthetic control method allows for flexibility in constructing counterfactuals at different levels of granularity. The advantage of our comprehensive approach is that we offer a balanced view of the impact of generative AI across the freelance market. Generative AI’s short-term impact on job posts and freelancer earnings Looking at the platform as a whole, we observe that generative AI has increased the total number of job posts by 2.4%, indicating the overall increased demand from clients. Moreover, as shown in Figure 1, for every new job contract, there is an increase of 1.3% in terms of freelancer earnings per contract, suggesting a higher value of contracts. Figure 1 Effect of Generative AI on Freelancer Earning per Contract The Upwork platform has three broad sectors: 1. Technological and digital solutions (tech solutions); 2. Creative & outreach; 3. Business operations and consulting. We have observed both positive and negative effects within each of the sectors, but two patterns are worth noting: The reinstatement effect of generative AI seems to be driving growth in freelance earnings in sectors related to tech solutions and business operations. In contrast, within the creative sector, while sales and marketing earnings have grown because of AI, categories such as writing and translation seem disproportionately affected more by the replacement effect. This is to be expected due to the nature of tasks within these categories of work, where large language models are now able to efficiently process and generate text at scale. Generative AI has propelled growth in high-value work across the sectors and may have depressed growth in low-value work. This supports a skills-biased technology change argument, which we’ve observed throughout modern work history. More specifically and within tech solutions, data science & analytics is a clear winner, with over 8% of growth in freelance earnings attributed to generative AI. This makes sense as the reinstatement effect is at work; new work and tasks such as prompt engineering have been created and popularized because of generative AI. Simultaneously, while tools such as ChatGPT automate certain scripting tasks (therefore leading to a replacement effect), it mainly results in productivity enhancements for freelancers and potentially leads to them charging higher rates and enjoying higher overall earnings per task. In terms of contracts related to business operations, we observe that accounting, administrative support, and legal services all experience gains in freelance earnings due to generative AI, ranging from 6% to 7%. In this sector, customer service is the only group that has experienced reduced earnings (-4%). The reduced earnings result for customer service contracts is an example of the aggregate earnings outcomes of AI, related to the study by Brynjolfsson et al (2023), who find that generative AI helps reduce case resolution time at service centers. A potential outcome of this cut in resolution time is that service centers will need fewer workers, as more tasks can be completed by a person working alongside AI. At the same time, the reinstatement effect has not materialized yet because there are no new tasks being demanded in such settings. This may be an instance where work transformation has not yet been fully realized, with AI enabling faster work rather than reinventing a way of working that leads to new types of tasks. A contrasting case is the transformation that happened with bank tellers when ATMs were introduced. While the introduction of these new technologies resulted in predictions of obsolete roles in banks, something different happened over time. Banks were able to increase efficiency as a result of ATMs and were able to scale and open more branches than before, thereby creating more jobs. In addition, the transactional role of a bank teller became focused on greater interpersonal skills and customer relationship tasks. When taken together, the overall gains in such business operations work on Upwork are an encouraging sign. These positions tend to require relatively intensive interpersonal communication, and it seems the short-term effects of generative AI have helped increase the value of these contracts, similar to what we saw in the banking industry when ATMs were introduced. As of now, the replacement effect of AI seems more noticeable in creative and outreach work. The exception is sales and marketing contracts, which have experienced a 6.5% increase in freelance earnings. There is no significant impact yet observed on design. For writing and translation, however, generative AI seems to have reduced earnings by 8% and 10% respectively. However, as we will discover, task complexity has a moderating effect on this. High-value work benefit from generative AI, upskilling needed for low-value work Having discussed the overall impact of generative AI across categories, we now decompose the impact by values. The reason we’re looking at the dimension of work value is that there may be a positive correlation between contract value and skill complexity. Moreover, skill complexity may also be positively correlated with skill levels. Essentially, by evaluating the impact of AI by different contract values, we can get at the question of AI's impact by skill levels. This objective is further underscored by a discrepancy that sometimes exists in the broader labor markets – a skills gap between demand and supply. It simply takes time for upskilling to take place, so it’s typical for demand to exceed supply until a more balanced skilled labor market takes place. It is worth noting, however, freelancers on the Upwork platform seem more likely than non-freelancers to acquire new skills such as generative AI. For simplicity, let’s assume that the value of contracts is a good proxy for the level of skill required to complete them. We’d then assume that high-skill freelancers typically do high-value work, and low-skill freelancers do low-value work. In other words, our goal is also to understand whether the impact of generative AI is skills-biased and follows a similar pattern from what we’ve seen in the past with new technology disruptions. Note that we’re focusing on the top and bottom tails of the distribution of contract values, because such groups (rather than median or mean) might be most susceptible to displacement and/or reinstatement effects, therefore of primary concern. We define high-value (HV) work as those with $1,000 or more earnings per contract. For the remaining contracts, we focus on a subset of work as low-value (LV) work ($251-500 earnings). Figure 2 shows the impact of AI by work value, across groups on Upwork. As we discussed before, writing and translation work has experienced some reduction in earnings overall. However, if we look further into the effect of contract value, we see that the reduction is largely coming from the reduced earnings from low-value work. At the same time, for these two types, generative AI has induced substantial growth in high-value earnings – the effect for translation is as high as 7%. We believe the positive effect on translation high-value earning is driven by more posts and contracts created. In the tech solutions sector, the growth in HV earnings in data science and web development is also particularly noticeable, ranging from 6% to 9%. Within the business solutions sector, administrative support is the clear winner. There are two takeaways from this analysis by work value. First, while we’re looking at a sample of all the contracts on the platform, it’s possible that the decline of LV work is more than made up for by the growth of HV work in the majority of the groups. In other words, except for select work groups, the equilibrium results for the Upwork freelance market overall seem to be net positive gains from generative AI. Second, if we assume that freelancers with high skills (or a high degree of skill complexity) tend to complete such HV work (and low-skill freelancers do LV work), we observe that the impact of generative AI may be biased against low-skill freelancers. This is an important result: In the current discussion of whether generative AI is skill-based, there exists limited evidence based on realized gains and actual work market transactions. We are one of the first to provide market-transaction-based evidence to illustrate this potentially skill-biased impact. Finally, additional internal Upwork analysis finds that independent talent engaged in AI-related work earn 40% more on the Upwork marketplace than their counterparts engaged in non-AI-related work. This suggests there may be additional overlap between high-skill work and AI-related work, which can further reinforce the earning potential of freelancers in this group. Figure 2 Case study: 3D content work To illustrate the impact of generative AI in more depth, we have conducted a case study of Engineering & Architecture work within the tech solutions sector. The reason is that we want to illustrate the potentially overlooked aspects of AI impact, compared with the examples of data science and writing contracts. This progress in generative AI has the potential to reshape work in traditional areas like design in manufacturing and architecture, which rely heavily on computer-aided design (CAD) objects, and newer sectors such as gaming and virtual reality, exemplified by NVIDIA's Omniverse. Based on activities on the Upwork platform, we see that there is consistent growth of job posts and client spending in this category, with up to 12% of gross service value growth year over year in 2023 Q3, and over 11% in job posts during the same period. Moreover, applying the synthetic control method, we show a causal relationship between gen AI advancements and the growth in job posts and earnings per contract. More specifically, there is a significant increase in overall earnings because of AI, an average 11.5% increase. Additionally, as shown by Figure 3, the positive effect also applies to earning per contract. This indicates a positive impact on freelancer productivity and quality of work, due to the fact that we’re measuring the income for every unit of work produced. This suggests that gen AI is not just a facilitator of efficiency but also enhances the quality of output. ‍Figure 3 Effect of Generative AI on Freelancer Earning per Contract in EngineeringIn a traditional workflow to create 3D objects without generative AI, freelancers would spend extensive time and effort to design the topology, geometry, and textures of the objects. But with generative AI, they can do so through text prompts to train models and generate 3D content. For example, this blog by NVIDIA’s Omniverse team showcases how ChatGPT can interface with traditional 3D creation tools. Thus, the positive trajectory of generative AI in 3D content generation we see is driven by several factors. AI significantly reduces job execution time, allowing for higher productivity. It facilitates the replication and scaling of 3D objects, leading to economies of scale. Moreover, freelancers can now concentrate more on the creative aspects of 3D content, as AI automates time-consuming and tedious tasks. This shift has not led to a decrease in rates due to the replacement effect. In fact, this shift of workflow may create new tasks and work. We will likely see a new type of occupation in which technology and humanities disciplines converge. For instance, a freelancer trained in art history now has the tools to recreate a 3D rendering of Japan in the Edo period, without the need to conduct heavy coding. In other words, the reinstatement effect of AI will elevate the overall quality and value proposition of the work, and ultimately enable higher earning gains. This paradigm shift underscores generative AI's role in not just transforming work processes but also in creating new economic dynamics within the 3D content market. Fortunately, it seems many freelancers on Upwork are ready to reap the benefits: 3D-related skills, such as 3D modeling, rendering, and design, are listed among the top five skills of freelancer profiles as well as in job posts. A dynamic interplay: task complexity, skills, and gen AI Focusing on the Upwork marketplace for independent talent, we study the impact of generative AI by using the public release of ChatGPT as a natural experiment. The results suggest a dynamic interplay of replacement and reinstatement effects; we argue that this dynamic is influenced by task complexity, suggesting a skill-biased impact of gen AI. Analysis across Upwork's work sectors shows varied effects: growth in freelance earnings in tech solutions and business operations, but a mixed impact in the creative sector. Specifically, high-value work in data science and business operations see significant earnings growth, while creative contracts like writing and translation experience a decrease in earnings, particularly in lower-value tasks. Using the case study of 3D content creation, we show that generative AI can significantly enhance productivity and quality of work, leading to economic gains and a shift toward higher-value tasks, despite initial concerns of displacement. Acemoglu and Restrepo (2019) argue that the slowdown of earning growth in the United States the past three decades can partly be explained by new technologies’ replacement effect overpowering the reinstatement effect. But with generative AI, we’re at a point of completely redefining what human tasks mean, and there may be ample opportunities to create new tasks and work. It's evident that while high-value types of work are being created, freelancers engaged in low-value tasks may face negative impact, possibly due to a lack of skills needed to capitalize on AI benefits. This situation underscores the necessity of supporting freelancers not only in elevating their marketability within their current domains but also in transitioning to other work categories. To ensure as many people as possible benefit, there’s an imperative need to provide educational resources for them to gain the technical skills, and more importantly skills of adaptability to reinvent their work. This helps minimize the chance of missed opportunities by limiting skills mismatch between talent and new demands created by new technologies. Upwork has played a significant role here by linking freelancers to resources such as Upwork Academy’s AI Education Library and Education Marketplace, thereby equipping them with the necessary tools and knowledge to adapt and thrive in an AI-present job market. This approach can help bridge the gap between low- and high-value work opportunities, ensuring a more equitable distribution of the advantages brought about by generative AI. Methodology To estimate the causal impact of generative AI, we take a synthetic control approach in the spirit of Abadie, Diamond, and Hainmueller (2010). The synthetic control method allows us to construct a weighted combination of comparison units from available data to create a counterfactual scenario, simulating what would have happened in the absence of the intervention. We use this quasi-experimental method due to the infeasibility of conducting a controlled large-scale experiment. Additionally, we use Lasso regularization to credibly construct the donor pool that serves the basis of the counterfactuals and minimize the chance of overfitting the data. Moreover, we supplement the analysis by scoring whether a sub-occupation is impacted or unaffected by generative AI. The scoring utilizes specific criteria: 1. Whether a certain share of job posts are tagged as AI contracts by the Upwork platform; 2. AI occupational exposure score, based on a study by Felten, Raj, and Seamans (2023), to tag these sub-occupations. We also use data smoothing techniques through three-month moving averages. We analyzed data collected on our platform from 2021 through Q3 2023. We specifically look at freelancer data across all 12 work categories on the platform for high-value contracts, defined as those with a contract of at least $1,000, and low-value contracts, consisting of those between $251 and under $500. The main advantage of our approach is that it is a robust yet flexible way to identify the causal effects on not only the Upwork freelance market but also specific work categories. Additionally, we control for macroeconomic or aggregate shocks such as U.S. monetary policy in the pre-treatment period. However, we acknowledge the potential biases in identifying which sub-occupations are influenced by generative AI and the effects of external factors in the post-treatment period. About the Upwork Research Institute The Upwork Research Institute is committed to studying the fundamental shifts in the workforce and providing business leaders with the tools and insights they need to navigate the here and now while preparing their organization for the future. Using our proprietary platform data, global survey research, partnerships, and academic collaborations, we produce evidence-based insights to create the blueprint for the new way of work. About Ted Liu Dr. Ted Liu is Research Manager at Upwork, where he focuses on how work and skills evolve in relation to technological progress such as artificial intelligence. He received his PhD in economics from the University of California, Santa Cruz. About Carina Deng Carian Deng is the Lead Analyst in Strategic Analytics at Upwork, where she specializes in uncovering data insights through advanced statistical methodologies. She holds a Master's degree in Data Science from George Washington University. About Kelly Monahan Dr. Kelly Monahan is Managing Director of the Upwork Research Institute, leading our future of work research program. Her research has been recognized and published in both applied and academic journals, including MIT Sloan Management Review and the Journal of Strategic Management.
    automation
    2024年02月23日
  • automation
    3 Non-Obvious Ways to Advance Your HR Career Let us take a look at 3 non-obvious ways to advance your HR career with William Taylor. (a VP at Workforce.com with 7 years of experience helping major companies develop better workforce management and HR practices) Summary Work in human resources on a small team at a small company. – More Focus on strategy by automating administrative work. – More Understand how HR impacts your company’s bottom line. – More When it comes to most HR career advice, the conversation is often dominated by talks of SHRM vs. HRCI accreditation, postgraduate study opportunities, or job hopping to get ahead. While these are all legitimate pathways to career growth, you’re probably already aware of them. They also lean further towards how to get a pay raise rather than how to become better at HR. So here are three ways you may not have thought about that can boost your HR expertise and advance your career. 1. Do HR at a smaller company Running HR at a small company gives you the ability to take more ownership, see how every part of HR operates, and take part in more strategic initiatives. This is often discouraged because many processes aren’t built out at smaller companies, but this is precisely why it’s a great opportunity. You get to be the one that builds out HR from the ground up. What constitutes a small company is hard to define, but an excellent place to start is somewhere smaller than where you currently are. Other good rules of thumb are fewer than five people in the HR department or less than 1,000 total employees. 2. Give yourself time to work on strategic HR Probably the biggest complaint about career advancement is that there isn’t time to work on strategic HR initiatives because HR is bogged down in busy work. This is a fair assessment. Some of the biggest culprits are collecting onboarding documentation, updating employee details, and fielding payroll queries. Don’t accept this reactive approach to HR. Get rid of the paper onboarding, let staff add their own availability and PTO, and allow them to access payroll details like their direct deposit information and electronic pay stubs. By automating these processes, HR is no longer the middleman between front-line staff and an outdated HRIS. Instead, HR actually has time to pursue valuable strategic initiatives like employee retention and talent development. 3. Understand the commercials of your company For most people, advancing their careers often involves promotions to more senior positions. While your technical HR skills help you on this journey, a firm understanding of how your company operates financially becomes probably the most essential tool in your toolbox as you develop seniority. The most crucial part for HR is understanding budgets. Both overall and team budgets, as well as HR budget metrics, like labor spend, cost of employee turnover, etc. This will help you justify the value of HR initiatives and show their impact on the bottom line. Secondly, you need to understand the business you’re in. Learn who your customers are, how your service or product solves their problems, and what role each team plays in that process. Doing so will help you make better decisions in HR, but it will also help to make other teams respect you. Both of these are essential if you ever want to become a CHRO. Next steps You’re probably not going to be able to do everything listed. Moving to a smaller company is a big step, but eliminating busy work to free up time for strategic HR and understanding your company’s commercials are two steps you can begin immediately. Schedule, engage, and pay your staff in one system with Workforce.com. SOURCE Workforce
    automation
    2024年01月17日
  • automation
    Top 7 Recruitment Strategies for 2024 Hear from the HR leaders delivering breakthrough experiences for their people and get the latest insights and advice from our team of XM Scientists. Nicole Parish and Ruth D'Alessandro working at Qualitrics for many years are introducing us the top 7 recruitment strategies for 2024. As the disrupted world of work evolves, so do the challenges and opportunities for recruiters. We explore the top 7 recruitment strategies - from employer branding to AI and data-driven decision making - to help you attract and hire the best talent in 2024. The challenges for recruiters and HR teams over the last four years have been immense. The Covid-19 pandemic and its aftermath, the almost overnight switch to remote working, workplace disruption, global instability, talent shortages, The Great Resignation, balancing hybrid working with business outcomes, and the explosion of AI technology have tested even the most experienced human resources specialists. And HR departments themselves, especially those in the tech sector, have been hard hit since the spring of 2022, with lots of layoffs further stretching the teams. As a result of high recruiter unemployment, these teams may be short-handed, and unable to take on more responsibility. This is where recruitment strategies need to help people work smarter, not harder. The key to staying competitive in talent acquisition and recruitment is understanding the important new trends and where HR technology slots in to be friend, not foe. Free eBook: Employee lifecycle feedback 1. Get your employer branding right Employer brand has historically been seen as a ‘nice to have’, but is now moving into the ‘must have’ space - highlighting how recruiters need to be employer brand focused, even if they don’t have an employer brand team. Employer branding is how a company markets itself to both internal and potential employees. If you were to ask employees what it’s like to work for a company, they’re unlikely to talk about the products, goods and services – instead they’ll highlight management, conditions, culture, and values. What if you could capture all the above in a single, comprehensive document to present to job seekers that says,‘what can we offer you as an employee?’ You can. It’s called an EVP (employer value proposition) and it’s your shop window to show that you’re a desirable employer. An EVP outlines: Opportunities What the people are like Organization’s prestige What the work is like The rewards The very best EVPs focus on the ‘Give and Get’ concept: while they outline what the organization offers, they’re brutally honest about what employees are expected to do in return. This ‘warts and all’ transparency naturally sorts applicants by attracting the right, passionate, resilient candidates who embrace challenge, and putting off casual applicants who might be a fit for the job, but who might find a mismatch between their expectations and what the company provides. When a company aligns great employer branding with an enviable EVP, it’s a recipe for attracting and retaining top talent. 2. Go all out with recruitment marketing While employer branding and your EVP defines who you are as an organization, what makes you different and the value you can give candidates in return for their commitment and hard work, recruitment marketing is how you get that message out there. It’s a marketing process that begins before candidates even apply for a job: using specific campaigns to attract and nurture talented people so that they apply for specific jobs in specific locations as they become open. There’s a trifecta of stages in the recruitment marketing process: Awareness: moving from “I haven’t heard of this brand” to “this brand seems interesting” Interest: then moving from “this brand seems interesting” to “I might apply for a job there” Consideration: finally, moving from “I might apply for a job there” to “I have applied for a job there” And some of the ways to get your recruitment marketing rolling include: Attractive job ads Bright, bold design, screaming your brand and littered with snappy, search-optimized copy will ensure your ads get found in searches, and that they catch the eye and pique interest. Content marketing Great content that informs, educates and entertains, offering more than advertising, will bring your brand to life. Ideally create your own content, or use materials that are already circulating in the organization to publish blogs, articles and listicles that add value for readers. Social media campaigns Nearly everyone’s scrolling through the likes of TikTok, Instagram, LinkedIn, Threads, X, Facebook, and Snapchat, so it follows that social media is a powerful recruitment marketing tool. But your postings have to be engaging and authentic, catching the trends and memes of the moment, not boring corporate job ads. Build multi-purpose content and then activate it everywhere you can! Identify the channels and types of content you can produce, then ensure each piece of content you create can be used in all of those spaces in some way. Niche job boards, popular job fairs, your careers page, college recruiting. You’ll maximize your inputs and create a seamless brand look and feel. 3. Create the best candidate experience Today’s candidate that you turn down may be tomorrow’s candidate, or maybe tomorrow’s client, so it pays to treasure every candidate, successful or not, and keep that positive connection going. Candidate experience is the sum of all the interactions a candidate has with you as a potential employer, across the whole recruitment cycle, from job ad to interview to hire (or not) and beyond. It’s crucial that you manage every candidate well. For those who join your company, it sets the tone for their employee experience – how engaged they’ll be and how well they’ll perform. For those who are not successful, you’ll leave a good impression that may make them want to reapply and recommend you to other people. There are three areas where you can make a real impact on your candidates’ experience: Application process Communication Feedback Application process All too often, the application process can be long-winded and clunky. For example, you have candidates’ resumes – they don’t need to keep retyping all their information into open text boxes over and over again. Similarly, you don’t need to have the same briefing call in person with every candidate before their interview – consider sending a pre-recorded video with all the necessary information, then giving candidates space to digest it before a follow up.  Focus on efficient hiring and streamlining decision-making at critical milestones along the candidate journey. Communication One of the most dispiriting things for prospective candidates about job applications is spending several hours of their lives filling in application forms, crafting covering letters, maybe attending interviews – and then hearing nothing. And the chances are the candidates won’t have a good word to say about the brands that couldn’t be bothered to contact them. Communicating well and often with candidates instantly sets you apart as a good employer. And with the availability of information technology and automation, there’s really no excuse not to send even an automated email or message to keep people updated about their application. You can go a step further and make it easy for qualified candidates to contact you. Maybe appoint a designated contact person for questions or concerns, or even set up a Slack stream for candidates to chat with current employees while their application is processed. And although it’s not fun to do, it’s also essential that you let your unsuccessful job seekers know when the position has been filled. Feedback For a lot of candidates, one of the most important aspects of any recruiting process is the feedback they receive — whether they’re successful or not. And the reason for this is simple: it helps them to identify where they can improve. And for the organization, as well as helping them decide whether to hire someone, it helps them understand how their interview and recruitment process is performing. Interview feedback should: Be concise and actionable Cover the whole hiring process Be collected in a timely way And – importantly - don’t forget to ask candidates how they felt about the recruitment process – this is essential for identifying gaps in your candidate experience so you can close them, and meet the expectations of every job seeker who engages with your organization. 4. Use your hiring manager and hiring team You already have powerful advocates for your recruiting process – your hiring manager and their teams. Their networks may give more access to appropriate talent than recruiters, and carry more weight. The hiring manager is often a candidate’s ‘go to’ professional to be convinced that they’re a great fit for the job. Conversely, some hiring managers tend to micromanage their recruiters, wanting more and more candidates, without appreciating quite how influential they themselves are for attracting them – if only they can direct their energies in the most useful way. Here are some ideas for making your hiring managers and their teams useful: Screen-record a short fireside chat with the manager and their team, talking about the new role and how it fits in their organization. Upload it to LinkedIn to create engaging content and attract more qualified candidates for very little work. Get the hiring manager to make a short LinkedIn video about the job, and what they're like as a manager. Bonus points if they talk about how they’re developing based on feedback in their engagement scores! Ask the hiring manager and the team to share the job on their professional networks, using EVP-aligned messaging about the role, the company, and the team If you have a Brand Ambassador program, enroll the hiring manager or hiring team members in it, so they can be proactive about sharing company news, professional developments, team photos to show how they function – and the open job Encourage the hiring manager to publicly celebrate their team or team wins where appropriate, (and if that's their management style) Interact with the job posts made by the recruiter, hiring manager or a member of the team to drive better engagement from the LinkedIn algorithm. All these things can bring additional value to the attraction phase of the recruiting process, and also add value to the recruiter’s communications (for example, use that same fireside chat in an In-Mail or a nurture campaign during the recruitment process). These actions won’t take up much of a hiring manager’s time, but they’ll create: Greater engagement with their jobs Resources that can be used any time they recruit for that job Higher candidate engagement through the recruitment process, resulting in better offer acceptance rates and higher new employee engagement Increased brand influence Speedier hiring. And the best part? The hiring manager and their team can do all of these things in less than 20 minutes a week and with zero budget. 5. Nurture your talent communities What is a talent community? In short, anyone showing an interest in your organization is your talent community, and they need nurturing in robust and meaningful ways. A talent community provides two-way communication and information sharing between recruiter, potential candidates, and sometimes current employees who act as brand ambassadors. A talent community doesn’t form on its own. It needs to be created, nurtured and maintained, usually digitally, via social media, messaging and email newsletters. It’s your opportunity to build awareness and provide transparency into critical parts of the employee experience that applicants want to know about before they join your company, thereby avoiding late-stage withdrawals. And unsuccessful candidates receive short, nurturing emails that are consistent and useful. At Qualtrics, we treat everyone as part of our talent community. We send a monthly global newsletter aligned to our EVP, and then segmented newsletters once a quarter to align with our focused areas of talent. We think this is best practice because it provides options for candidates to opt out, gives consistency, and ensures our EVP (and its Give and Get) are at the root of our relationship with the candidate. 6. Embrace automation to make candidate experience better… Recruiters love to hold the reins for everything, but that can sometimes become too much, so AI and automation are your friends here. HR technology such as candidate relationship management systems (CRM) can help: Identify and engage with passive, qualified candidates Surface ‘good fit’ candidates for job opportunities Screen suitable candidates Track applicants with an applicant tracking system (ATS) Update applicant status Schedule interviews Perform background checks Keep in touch with talent communities 7.…but don’t lose the human touch CRM systems can have so much automation that it’s easy to forget that, ultimately, you are dealing with real people. so, best practice is based on emphasizing the human experience: Bring some humanity into the process Everyone deserves basic courtesy. While most people accept a ‘thanks for applying’ to an initial application, once people have been through some interview rounds they deserve to be ‘courteously declined’. Providing  feedback, suggestions for developing skills or experience, and/or an honest assessment of the candidate’s chances of being considered for another role, all make the process much more human. Acknowledge every candidate 65% of people say they rarely, if ever, receive communication about their application status. Candidates with poor recruitment experiences are more likely to leave negative ratings on employer sites such as Glassdoor. Communicate personally and regularly with every applicant. Keep the door open Only around 25% of talent managers stay in touch with unsuccessful candidates. Yet a good  CRM system can make much of this contact for you when all your candidates are added to it as a talent database. How Qualtrics can help with your recruitment strategy We know that candidate experience doesn’t just impact the quality of your recruitment strategy and hiring – it impacts your employer brand, the employee experience for those who get hired, and even organizational performance. We’ll help you design and improve your candidate experience, to attract the best candidates and grow your talent pipeline, and tighten up processes around sourcing, recruiting, and interviewing talent – saving money. You’ll receive insights into every candidate experience touchpoint that matters: any stage of the candidate journey to see what went well and the actions you need to take to improve the experience the data you need for every stage of the candidate’s experience, while making sure you’re not causing survey fatigue total control over how often, when, and how your candidates are contacted, based on your preferences We know that candidate experiences differ from role to role and organization to organization. That’s why Qualtrics® Candidate Experience Management Software is built to flex and contribute to any successful recruiting strategy. SOURCE Qualtrics
    automation
    2024年01月17日
  • automation
    How to Build Your HR Technology Stack for 2024 In the AI age, you should use HR technology to ensure seamless integration and compatibility with your overall HR strategy for 2024. These are what Beqom is aiming for. Jan.17,2024 As organizations navigate the complexities of the evolving workforce in 2024, the strategic use of technology in Human Resources (HR) has become critical. This blog explores the crucial role of HR systems to deliver on corporate objectives, automate and streamline processes, improve the employee user experience, and reduce the administrative burden on HR. We also take a look at essential criteria for HR when evaluating technology solutions and delve into the nuanced landscape of trying to rely on HR suites versus a best-of-breed approach. What is an HR tech stack? The term "HR tech stack" refers to the comprehensive suite of tools and software applications that HR professionals use to manage various aspects of human resources. Just as a chef carefully selects and organizes different ingredients and methods to create a masterpiece, HR leaders curate and integrate diverse solutions to optimize HR processes, enhance employee engagement, and contribute strategically to business success. An HR tech stack typically includes a combination of software for recruitment, onboarding, performance management, learning and development, employee engagement, compensation management, and more. These tools work synergistically to streamline HR workflows, drive efficiency, and enable data-driven decision-making. The selection of tools depends on the unique needs and objectives of the organization, reflecting its high-level philosophy for HR technology adoption. The evolution of HR tech stack in modern businesses The journey of HR tech stacks has undergone a significant evolution in tandem with the changing of the modern workplace. In the early stages, HR systems primarily focused on automating administrative tasks and maintaining employee records. However, as organizations recognized the strategic importance of HR in achieving business objectives, the HR tech stack evolved into a dynamic ecosystem designed to address complex challenges and leverage opportunities. Key phases in the evolution have included: Automation of administrative tasks Early 2000s: The initial phase saw the adoption of HR information systems (HRIS) to automate routine administrative tasks, such as payroll processing and time tracking. Basic Applicant Tracking Systems (ATS) emerged to simplify recruitment processes. Introduction of integrated suites Mid-2000s to early 2010s: Integrated HR suites gained prominence, offering a unified platform for various HR functions. These suites aimed to streamline processes and enhance data consistency by providing a centralized platform for HR activities. Focus on employee experience and engagement Late 2010s: With the increasing emphasis on the employee experience, HR tech stacks expanded to include tools for talent management (recruiting, onboarding, learning, etc.), compensation and benefits, performance management, and employee engagement. Mobile applications and self-service portals became integral to fostering a positive workplace culture. Rise of specialized best-of-breed solutions Present day: The current phase witnesses a shift towards specialized best-of-breed software. Businesses are recognizing the value of choosing tools that excel in specific HR functions, providing depth and flexibility in their HR tech stacks, while delivering an improved employee experience. Significance of the evolution The evolution of HR tech stacks mirrors the broader transformation in HR's role—from a predominantly administrative function to a strategic partner driving company success. Modern HR tech stacks are not just about automation; they represent a strategic investment in technologies that empower HR professionals to make informed decisions, enhance employee engagement, and contribute meaningfully to achieving business objectives. Crafting a high-level philosophy for HR technology As organizations embark on the journey of leveraging technology in their Human Resources (HR) functions in 2024, it's helpful first to establish a high-level philosophy to guide your choices. As with most business decisions, it’s best to start with the "why" and articulate the overarching goals HR seeks to achieve for the company. Aim for strategic alignment Why do it? Your high-level systems philosophy must align seamlessly with the organization's overall strategic objectives. HR digital solutions should not be implemented in isolation but as a strategic enabler, contributing to the achievement of broader business goals like diversity, profit margin, market share, and so on. How to do it. HR leaders should collaboratively engage with organizational leadership to understand key business objectives and challenges. The technology philosophy should then be crafted to align with and support these goals. Enhance the employee experience Why do it? A key focus of HR technology should be on enhancing the overall employee experience. By delivering value to employees, providing user-friendly interfaces, fostering collaboration, and enabling self-service capabilities, HR can create an environment where employees thrive. How to do it. Conducting regular employee feedback surveys, analyzing pain points in HR processes, and understanding employee needs will inform the technology approach. The goal is to implement solutions that make work more meaningful and enjoyable for employees. Drive efficiency and agility Why do it? HR technology should be a catalyst for operational efficiency and agility. By automating repetitive tasks, streamlining workflows, and providing real-time insights, HR contributes to the organization's ability to adapt swiftly to changing market dynamics. How to do it. Assessing current HR processes, identifying bottlenecks, and evaluating the capability and adaptability of existing systems will guide the decision-making process. The aim is to implement an HR platform that not only addresses current needs but also scales as the organization evolves. Enable data-driven decision-making Why do it? A high-level philosophy should emphasize the importance of leveraging data for informed decision-making. HR technology should provide the tools and analytics necessary to transform raw data into actionable insights, empowering HR professionals to make strategic decisions. How to do it. Assessing the company's data maturity, identifying critical HR metrics, and understanding the capabilities of offerings in the market to support strategic decision-making at all levels will guide the choice of technology that aligns with this philosophy. Cultivate a culture of continuous improvement Why do it? The philosophy behind HR technology should embrace a culture of continuous improvement. Solutions should not be static but evolve to meet changing organizational needs, staying abreast of industry trends and workplace regulations, and driving innovation. How to do it. Regularly evaluating the effectiveness of existing technology, staying informed about emerging HR tech trends, and fostering a culture of innovation within the HR team contribute to a philosophy that embraces ongoing improvement. In essence, the high-level philosophy behind the HR tech stack should be a strategic roadmap, guiding the business towards success. It is the articulation of what HR aims to achieve and why technology is a critical enabler in achieving those objectives. Crafting this philosophy involves aligning with corporate goals, prioritizing employees, driving efficiency and agility, leveraging data, and fostering a culture of continuous improvement. As companies embark on the transformative journey of HR technology adoption, a well-defined and thoughtfully considered high-level philosophy will serve as the North Star, ensuring that technology becomes a powerful ally in achieving organizational excellence. The growing importance of technology in HR As Josh Bersin has framed it, we are now entering a post industrial economy. The industrial revolution over the last 150 years has created massive amounts of automation and productivity-enhancing advancements. The result is that employees no longer are just replaceable commodities, needed for menial tasks. They are more skilled and specialized than ever before, and that trend is only going to continue with the blossoming of artificial intelligence. Now, says Bersin, “every company is in the people business.”  HR is more important than ever, and the HR tech stack plays a key role in shaping today’s high performing organization in many ways, including: Efficiency and productivity In the fast-paced business environment of 2024, efficiency is key. Technology enables HR professionals to automate repetitive tasks and streamline complex processes. Whether in recruiting (resume screening, scheduling interviews, managing employee records), compensation (salary planning, merit increases, pay equity) or performance management (goal-setting, collecting feedback, performance reviews)—to name a few examples—the use of technology not only saves time but also allows HR teams to focus on strategic initiatives that contribute to the overall productivity of the organization. Data-driven decision-making Technology provides HR with tools to collect, analyze, and interpret data, and to make predictions. This data-driven approach enables HR professionals to make informed decisions regarding talent acquisition, employee engagement, compensation strategy, and workforce planning. Harnessing the power of workforce analytics can lead to more effective strategies and better outcomes for the business. Remote work and collaboration With the rise of remote work, HR technology facilitates seamless collaboration between dispersed teams. Virtual onboarding processes, digital communication tools, feedback platforms, self-service tools, and remotely administered systems are among the essential components that enable HR to adapt to the changing dynamics of the modern workplace. Impact of technology on different areas of HR Virtually every aspect of HR can be improved and accelerated through the use of digital solutions. It is up to HR leaders to determine what areas can have the most impact on the organization’s success and prioritize accordingly. Recruitment and talent acquisition Technology streamlines the recruitment process by leveraging artificial intelligence (AI) for resume screening and predictive analytics for identifying top talent. Applicant Tracking Systems (ATS) automate the hiring pipeline, reducing time-to-fill and ensuring a more efficient recruitment process. Learning and development HR software facilitates personalized learning experiences through e-learning platforms and Learning Management Systems (LMS). This not only enhances employee skills but also ensures that training programs align with organizational goals and industry trends. Compensation management and pay equity Technology can play a pivotal role in transforming compensation management, which is a critical core function. These solutions empower HR professionals to create transparent pay structures, conduct market analysis, design flexible compensation strategies, support data-driven pay decisions at all levels, and administer rewards efficiently. Advanced pay equity tools can ensure ongoing fair pay and legal compliance. Collaboration and coaching Integrated collaboration platforms facilitate seamless communication among dispersed teams, enhancing the employee experience and contributing to increased productivity. Support for manager coaching takes collaboration one step further and aids in employee-manager alignment. Goal-setting and tracking Software provides automation for setting and tracking individual and team goals, speeding up the cascading of high level goals throughout the organization, fostering real-time evaluation and progress tracking, and promoting a more dynamic performance management process. Continuous feedback and recognition Automated feedback and recognition tools contribute to a positive workplace culture by ensuring timely acknowledgment of employee achievements, fostering a sense of appreciation and motivation, as well as supporting continuous improvement. 360-degree feedback Performance management tools enable the automation of 360-degree feedback processes, providing a holistic view of employee performance from various perspectives within the enterprise. Performance appraisal and calibration Automation in performance appraisal processes, including calibration features, ensures consistency and fairness in evaluating employee performance across the organization, and saves enormous amounts of time. Impact on the business, employees, and HR staff HR technology has something to benefit everyone in the organization. Business impact Implementing HR technology positively affects the bottom line. Improved efficiency, better talent management, and data-driven decision-making contribute to overall business success. The adaptability of HR tech to changing market demands ensures that businesses stay competitive and agile, and attract and retain needed talent. Employee experience From recruitment to retirement, HR technology enhances the employee experience. Self-service portals, mobile applications, and digital communication tools empower employees, providing them with the tools they need to thrive in the workplace. This, in turn, contributes to a positive workplace culture, motivation, productivity, and loyalty. HR department and staff HR professionals benefit from technology by automating administrative tasks, allowing them to focus on strategic HR functions. Access to real-time data also equips HR staff with the insights needed to make informed decisions. This shift from transactional to strategic roles enhances the value HR brings to the organization. Risks of not embracing technology in HR Conversely, failure to keep up with the advances in HR technology can put your company at a competitive disadvantage. Organizations that fail to embrace HR digital solutions risk falling behind competitors who leverage these tools for strategic advantage. The ability to attract and retain top talent often hinges on the adoption of modern HR practices and technology. Employees want to work for a company with efficient processes, and increasingly, for companies that practice transparency and workplace equity. Manual processes are prone to errors and inefficiencies, both of which are costly. Without the aid of technology, HR departments may struggle with accuracy in record-keeping, compliance issues, and inefficient workflows, hindering the overall effectiveness of HR operations. Building a tech stack for HR So how to best approach technology adoption for HR? Assess organizational needs. Before implementing an HR solution, HR executives should conduct a thorough assessment of the organization's needs. Understanding specific pain points, goals, and desired outcomes is essential for choosing the right solutions. What are the company’s objectives and what would be needed to accomplish them? Identify critical areas. These are areas where you can gain the most strategic benefit, and where you therefore do not want to compromise on functionality. What is mission critical, what is core to realizing your strategy and achieving your goals? In other words, what is most worthy of investment? Consider integration and scalability. A well-rounded tech stack should be easily integrable with existing systems and scalable to accommodate future growth. Seamless integration ensures data consistency and avoids silos, while scalability future-proofs the technology against evolving organizational needs. Criteria for evaluating HR technology solutions Here are some key areas to consider when evaluating technology solutions. Functional coverage First and foremost, technology solutions should be able to do what you need done. You should not have to compromise on your strategy to conform to system limitations. If a solution cannot really handle your needs, scan the market to see if there is an alternative that is a better fit for your needs. Integration capabilities Seamless integration with existing systems is crucial for data consistency and efficient workflows. HR professionals should prioritize technology solutions that support interoperability. Scalability and global compatibility Large organizations must choose solutions that are scalable to accommodate their size and adaptable to meet global complexities and diverse compliance requirements. Global compatibility supports consistency in HR practices across different regions. User experience and accessibility A user-friendly interface and accessibility across devices are critical considerations. HR technology should be intuitive for users globally, promoting widespread adoption and engagement. And remember that part of the user experience is delivering real value to the end users. Data security and compliance Given the sensitivity of HR data, security features and compliance with data protection regulations should be paramount. Robust security measures safeguard against data breaches and ensure confidentiality. Vendor expertise and support Every solution has people behind it who create, implement, update, and support it. Even the most intuitive systems need support to keep the technology improving and advancing, look for expertise and a commitment to innovation. Comparing HR suites and best-of-breed solutions It is often tempting to try to rely on your core HR suite to handle most or all of your HR software needs. However, the benefit of a single source supplier is limited compared to the possible benefits of a best-of-breed approach. Limitations of HR suites Some of the common problems encountered when trying to stretch an HR suite to cover every need include: Lack of specialization. Comprehensive HR suites often provide a generalist approach, attempting to cover a broad spectrum of HR functions. While this may be suitable for some organizations, it can result in a lack of depth for specialized functions like compensation management and performance management. Slower innovation. The sheer size and complexity of comprehensive suites can sometimes lead to slower adaptation to emerging technologies and industry trends. The bureaucratic processes involved may hinder the swift integration of innovative solutions that could benefit the organization. Complex implementation. Implementing extensive HR suites can be intricate and resource-intensive, requiring substantial time and effort. The complexity of these systems may lead to challenges in user adoption and ongoing maintenance. Advantages of a best-of-breed HR tech approach What is driving companies to seek best-of-breed solutions within their HR tech stack? Some reasons include: Specialization. Best-of-breed solutions excel in specific HR functions, providing advanced features and customization options tailored to the organization's unique needs. This specialization ensures that each component of the HR tech stack is functionally rich and optimized for maximum efficiency. Faster innovation. Specialized providers often innovate more rapidly, adapting to industry trends and technological advancements with agility. This proactive approach allows organizations to stay at the forefront of HR technology, driving continuous improvement. Flexibility and integration. Best-of-breed solutions offer flexibility and can be seamlessly integrated with other systems. This allows organizations to build a tailored tech stack that aligns precisely with their requirements, avoiding the constraints of a one-size-fits-all solution. A best-of-breed HR technology success story One large multinational bank was facing an increasingly complex and competitive landscape including new non-traditional players, increasing regulation, artificial intelligence, and automation. These challenges made it crucial for them to attract, retain, and leverage their human capital to its fullest potential. They wanted to give employees and line managers a uniform and engaging experience, and establish a culture of continuous improvement, and so were seeking best of breed solutions for key HR processes to complement their core SAP HCM solution. beqom enabled crowdsourced real-time continuous feedback, regular check-ins, and agile goal setting, supporting managers in providing timely and helpful coaching. With pulse surveys, structured 360 feedback and insightful analytics, the solution measures the entire employee experience at every touchpoint. With beqom they can align personalized rewards with real-time performance data, as well as with feedback, skills, behavior, and goals, to provide meaningful and effective rewards. The bank was able to consolidate all compensation processes, including salary and promotion increases, short and long-term incentives, and cash awards, across more than 30 countries. And, their compensation budget can be continuously monitored as performance ratings are submitted and their cost impact calculated. All in all, it’s a real success story that shows the power of HR technology to transform an organization. Moving forward with your HR technology stack In today’s dynamic workplace, technology solutions will play a pivotal role in empowering HR professionals to deliver value for the organization. To find out how best-of-breed solutions can transform your HR processes and help you build a high-performing organization, take a positive first step and contact us at beqom. SOURCE Beqom
    automation
    2024年01月17日
  • automation
    New Data from Inspira AI Predicts: Nine out of 10 Office Jobs Gone Forever as a Result of AI 报告显示2045年将有90%的白领工作因AI的发展而永久消失，同时AI不仅会取代现有的工作，它还将占据大部分新创造的岗位。 根据Inspira AI的最新研究报告揭示了一个惊人的预测：到2045年，将有90%的白领工作因AI的发展而永久消失。这不仅仅是一次技术革命，更是对我们传统工作方式的全面挑战。 报告指出，与蓝领一线工作相比，办公室工作的自动化更为简单和经济高效。因此，白领岗位将会受到更广泛的影响。这种变化速度之快，影响之广，远超过我们之前的想象。它预示着社会结构和社会规范将经历迅速而广泛的变化，全球性的重大转型已经在眼前。 Inspira的CEO Izzy Traub强调，目前公众对于人工智能相关的工作流失的讨论，大多数估计过低。事实上，AI不仅会取代现有的工作，它还将占据大部分新创造的岗位。这是一个不容忽视的事实。 面对这样的挑战，作为职场人，我们需要重新思考和规划我们的职业生涯。技能的适应和升级变得至关重要。我们必须对人工智能的发展保持敏感，并积极探索如何在AI时代保持自身的竞争力。 现在是时候行动了。我们需要对未来的工作环境有一个清晰的认识，并思考如何在这个由AI主导的新时代中找到自己的位置。让我们共同面对挑战，拥抱变化，准备好迎接未来。 LOS ANGELES Inspira AI, a company pioneering new AI cognitive frameworks, has today released a paper that maps out shocking job losses in the white-collar sector. The paper predicts that nine out of 10 white collar employees will be out of work by 2045, with no new jobs to replace them. In just over two decades, forecasts suggest the world will experience swift and extensive changes in social structures and societal norms, leading to a significant transformation globally. Inspira CEO, Izzy Traub, commented on the data, “There has been a lot of public chatter about AI-related job losses forecasted in the 40-50% range. These forecasts take into account new jobs that will be created. What is not taken into consideration is that AI will also take most of these new jobs as well. The job displacement predictions are skewed far too low, at least for knowledge work. The scary truth is that AI will result in massive job losses for office workers, far more extensive than people realize.” The newly released paper makes the case that automation of office work will take place far faster and broadly than jobs that require manual labor. The argument is that office work requires only the automation of computer processes, while manual labor requires expensive and hard-to-build robots. Automating office work is easier and less costly, and thus office jobs will be impacted more extensively. Dr. Jo Ann Oravec, a professor at University of Wisconsin, is a contributor to the paper and the author of Good Robot Bad Robot (Springer Nature, 2022). She commented, “predictions about technological futures can never be entirely correct, but Inspira’s efforts are based on solid thinking and will certainly stimulate a new level of insight in business, academics, and public policy. Projections of the impacts of AI are often bold but have little to back them up, unlike Inspira’s pioneering approaches. The world is in for changes of such magnitude that we best prepare ourselves. The work that Inspira is doing is groundbreaking and is sure to have a profound impact on countless lives”. Download the paper: https://papers.ssrn.com/abstract=4663704 About Inspira Inspira AI Corp is an A.I. SaaS company pioneering new cognitive frameworks and conversational agents for workforce optimization.
    automation
    2023年12月14日
  • automation
    微软首席人力官Kathleen Hogan：员工如何充分利用人工智能 Kathleen Hogan Chief People Officer at Microsoft  [Photo: courtesy of Microsoft] 微软首席人力官 Kathleen Hogan表示，人工智能对我们工作方式的影响将比个人电脑更大。   AI是我们时代的决定性技术，创造了一个巨大的范式转变，它将改变我们的工作方式，影响力甚至超过了个人电脑的引入。我们曾经有一个大胆的愿景，“每个办公桌上、每个家庭里都有一台电脑”，而今天，我们希望在“每个人的口袋里都放一个副驾驶”。 当然，AI的影响也伴随着挑战。我们必须解决关于工作流失、算法偏见以及组织快速培养技能的真实担忧。但最终，我相信AI的潜力太大，不能采取观望态度。 领导者需要创造正确的环境，让AI获得积极的势头。这将需要准备和有意识的方法，以便这些新的AI工具不仅帮助员工提高生产力，而且帮助他们茁壮成长。我建议关注这三个方面，以更快实现这些好处：培养基于敏捷的文化、重新想象我们的工作方式、投资于更深层次的人类技能。 培养基于敏捷的文化 为了充分利用AI的承诺，团队必须保持敏捷。 即使是那些多年来一直在内部使用AI进行数据分析、预测建模和任务自动化的公司，生成性AI也代表着一个重大转变。通过能够理解人类语言、导航大量文档知识并创造内容，更多职能的员工现在可以使用这些AI工具。 一个基于敏捷的文化还将加速组织建立推动AI价值的更广泛基础和最佳实践的能力。我相信，在AI时代培养这样的文化意味着拥抱适应性领导力，领导者必须愿意深入未知。 重新想象工作方式 20世纪80年代和90年代的机器人自动化进步使制造业生产力翻了一番。这不是仅仅通过给工人提供更高效的工具实现的——公司通过重新思考生产技术和重新设计工作流程，优化人与机器之间的流程，实现了机器人自动化的全部价值。 同样，要充分利用AI采用的价值，领导者需要重新想象工作是如何完成的。这始于将工作分解为更小的任务，以确定AI能做什么，以及或者比人类做得更好。除了自动化一些重复或乏味的工作任务，我们还需要确定AI可以如何协助员工处理更复杂和微妙的任务，如研究、写作和分析。 这个想法是让领导者利用这段时间，不仅是自动化流程，而且是与AI一起重新想象流程，寻找新的工作方式。这将最终帮助人们更聪明地工作，而不是更努力地工作，给他们带来更多的精力，并发现更有意义和更令人满意的工作。 关注人类技能 生成性AI已经被训练了大多数人类语言，所以任何人都可以使用它。但就像任何新技术一样，仅仅给人们新工具而不提供使用它们的技能是不够的。 而且，尽管这似乎与直觉相反，人类技能与技术技能一样重要，以有效使用AI。这包括分析判断力、灵活性、情商、创意评估、智力好奇心、偏见检测和处理能力，以及委派任务的能力。 事实上，我们现在发现，基本的管理技能是发掘AI副驾驶的全部潜力的关键。就像委派给人类员工一样，与副驾驶合作需要能够清晰地沟通，设置背景和参数，定义期望，分析结果，并提供反馈。 一个好的起点是根据学科开发AI技能培训和实践。随着我们从自动驾驶AI转向副驾驶AI，对人们来说，仍然扮演飞行员的角色，用批判性的视角评估他们从AI工具中获得的输出是必要的。这包括验证准确性和评估偏见。最终，飞机的船长有责任成功着陆。 我相信，解锁AI的全部潜力是领导者的责任。AI的创新正在以惊人的速度发生。当我们导航AI对工作场所的影响时，组织领导者必须立即开始培育正确的环境，以确保没有人被遗留在后面。仅仅将AI工具放在员工手中是不够的。当我们培养基于敏捷的文化、重新想象我们的工作方式，以及建立获得AI最佳效果所需的人类技能时，我们可以帮助我们的组织和员工在这个新时代中茁壮成长。 对我来说，能够成为这个令人难以置信的时刻的一部分，既令人兴奋又令人振奋。   英文原文来自：https://www.fastcompany.com/90982077/microsofts-chief-people-officer-heres-how-workers-can-get-the-most-out-of-ai
    automation
    2023年11月27日
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