『HR Data Labs』のカバーアート

HR Data Labs

HR Data Labs

著者： WRKdefined Podcast Network
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Unlock the future of HR, today with the HR Data Labs podcast! Dive into transformative insights, expert interviews, and cutting-edge practices that empower organizations to harness their workforce’s potential. Join us for engaging discussions that will inspire you to innovate, strategize, and lead with confidence! Tune in now!All rights reserved by WRKdefined マネジメント マネジメント・リーダーシップ 出世 就職活動 経済学
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  • Season 11 Recap

    Season 11 Recap
    2026/08/06
    In this episode, we reflect on the most impactful themes from season eleven of the HR Data Labs Podcast, emphasizing the transformative role of artificial intelligence (AI) in the world of work. Host David Turetsky discusses how AI has become a central focus across industries, influencing regulation, data governance, organizational change, and HR practices. Tune in for a comprehensive summary of trends, predictions, and key conversations that are shaping HR’s future. Key Topics Covered: The dominance of artificial intelligence in season eleven and its influence on HR. The importance of data governance for AI integration, highlighted by insights from Talenode. Practical applications of AI, including the use of large language models and local AI hosting solutions. Discussions with industry experts on AI ethics, security, talent acquisition, and leadership. Predictions and insights about AI’s role and regulation in HR over the next six months and beyond. Notable interviews with HR thought leaders discussing organizational change, burnout, women in leadership, and HR technology innovation. Future episodes focusing on pay equity, county-level HR issues, and machine learning use cases. Timestamps: 00:00 - Welcome and season eleven wrap-up overview 00:33 - Changes in HR over the past years and current transformations 01:31 - Introduction of chickens and personal updates 02:29 - Recap of season eleven and its focus on artificial intelligence 03:12 - AI’s influence on organizational change, trust, and data governance 03:57 - The importance of data foundations for AI initiatives 04:27 - The increasing integration of AI into daily work and business practices 04:56 - The evolution from early computer use to AI today 05:54 - The proliferation of AI tools in corporate technology stacks 06:24 - Environmental and infrastructure challenges of AI data centers 07:10 - Advances in small form factor AI hardware and local hosting options 08:07 - Real-world AI applications at the desk and secure data practices 09:34 - Building AI models with retrieval-augmented generation (RAG) techniques 10:03 - Resources available at hrdatalabs.ai and hrdatalabs.com 11:02 - Notable interviews, including legal, security, talent acquisition, and leadership insights 12:29 - Reflection on season eleven, personal connections, and upcoming season twelve topics 13:00 - Highlights from upcoming episodes, including county HR challenges and practical AI applications 14:26 - Reviewing past predictions and setting new forecasts for the next six months 15:25 - Using AI to evaluate predictions and industry trends 16:17 - The shift from AI experimentation to measurable ROI in HR 17:44 - Current state of HR AI use cases, human-in-the-loop importance, and regulatory outlook 19:11 - Predicted regulation developments at the state and federal levels 20:44 - Host’s forecast: increased progress in AI adoption and ROI validation in HR 22:36 - The impact of AI-related layoffs, rehiring, and reputational considerations 25:02 - Exciting plans for future episodes, conferences, and continued industry insights 26:26 - Appreciation for listeners and partners, and encouragement to follow the show This episode offers a deep dive into the evolving landscape of HR technology, emphasizing AI’s transformative potential and ongoing challenges. Whether you’re an HR professional, a business leader, or an enthusiast of HR innovation, these insights provide vital context for navigating the future of work.
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    28 分
  • Alison Campbell - Burnout is a organizational design issue and increasingly a business risk. It’s NOT just a wellbeing issue.

    Alison Campbell - Burnout is a organizational design issue and increasingly a business risk. It’s NOT just a wellbeing issue.
    2026/07/30
    In this episode, we explore the complex issue of burnout within organizations, its predictors, and how HR leaders can proactively address systemic risks that impact employee well-being and productivity. Alison Campbell, founder of Unburnt, shares her extensive research and practical strategies to recognize and mitigate burnout at every level of the organization. Key Topics Covered: Alison Campbell’s background and the founding story of Unburnt, highlighting her transition from corporate roles to addressing burnout The relationship between burnout, innovation, and systemic organizational blockers Research findings on how systemic factors like ambiguity, lack of transparency, and uncertain role definition predict burnout The surprising discovery that highly active or visible burnt-out employees often exhibit reduced capacity for long-term strategic thinking The impact of external stressors, demographic factors, and generational differences on burnout dynamics Practical steps HR leaders can take: diagnostics, leadership development, board discussions, and transparent communication The importance of viewing burnout as an organizational risk rather than solely an individual problem How to foster a culture of open dialogue and early detection through diagnostics and ongoing conversations Timestamps: 00:00 - Introduction to Alison Campbell and the importance of addressing burnout 02:27 - The moment that led Alison to focus on burnout and her personal journey 04:01 - Alison’s creative side and her graphic novel "HR Datadoodles" 06:16 - The research partnership with Bentley University on burnout predictors 07:44 - The link between systemic organizational risk factors and burnout 08:49 - How high burnout employees can still appear visibly active in their roles 09:39 - The significance of capacity to think strategically and translate plans into value 10:40 - The disconnect between perceived stress and actual burnout risks 12:02 - External vs internal stressors and the inability to compartmentalize life and work 13:09 - Leadership’s role in recognizing and mitigating burnout risks 14:47 - Organizational challenges in managing AI transformation and burnout 16:26 - The importance of leadership development and systemic change over siloed HR initiatives 17:50 - Lessons from early computer adoption and AI integration in the workplace 19:21 - The necessity of strategic, outcome-driven AI implementation and avoiding wasteful spending 20:31 - The role of diagnostics and ongoing measurement in early burnout detection 22:09 - The importance of communication from leadership and the board level 23:55 - Addressing the aging workforce and demographic considerations in burnout 26:49 - The impact of caregiving, obligation stressors, and generational differences 28:20 - Practical advice for HR leaders: assessing current tools, engaging with the C-suite and board 30:46 - The significance of transparent, frequent communication around organizational goals 33:55 - Final thoughts on the complexity of burnout and the need for comprehensive solutions Resources & Links: Unburnt Website Research Paper on Burnout Predictors HR Datadoodles Graphic Novel Bentley University Center for Health and Business Alison Campbell on LinkedIn AI Transformation and Workplace Stress Connect with Alison Campbell: LinkedIn Twitter
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    35 分
  • Tim Sackett - The State of AI in HR and Talent Acquisition: Trends, Challenges, and Regulatory Concerns

    Tim Sackett - The State of AI in HR and Talent Acquisition: Trends, Challenges, and Regulatory Concerns
    2026/07/23
    In this episode, HR thought leader Tim Sackett joins host David Turetsky to explore the current landscape of artificial intelligence in HR, talent acquisition, and broader workforce management. They discuss the gap between technological potential and real-world application, legal and ethical challenges, and how government regulation could shape the future of AI in HR. In this episode: The real vs. perceived capabilities of AI in HR based on recent conferences and practitioner understanding The legal issues emerging from AI use in recruiting, including Fair Credit Reporting Act concerns and litigation risks The influence of government and regulatory bodies, with insights into new appointments like Keith Sondralin at the Department of Labor The analogy of AI's growth and adoption to consumer products, highlighting how HR leaders can start integrating AI effectively The untapped potential of blockchain for employee data integrity and verification in the future workforce Practical advice on how HR practitioners can educate themselves quickly on AI basics to avoid vendor confusion The importance of embedding AI into business and HR strategy to genuinely solve problems rather than just automate tasks The ethical and security concerns linked to identity fraud, insider threats, and malicious use of AI for employment fraud Timestamps: 00:00 - Welcome and episode overview on AI's impact in HR 00:48 - Insights into Tim's recent conference experiences and the state of AI learning among HR professionals 02:35 - The hype versus the real application of AI in talent acquisition 02:57 - Fun facts about Tim Sackett: a Belieber and a Swiftie 03:48 - The quality and impact of recent Super Bowl performances and music preferences 05:02 - Discussing the upcoming Rush tour anniversary and nostalgia for classic rock 06:34 - The intersection of AI and HR conference trends, gap analysis between practitioners and tech providers 07:50 - The knowledge gap in HR regarding AI capabilities and the risk of vaporware marketing 09:01 - Foundations of HR's misunderstanding of existing HR tech systems and AI's rapid evolution 11:33 - Legal challenges with AI, including Wells Fargo and Workday litigations, and compliance risks 13:07 - The potential for AI to cause or prevent legal liabilities and litigation 15:00 - New leadership at the Department of Labor and its implications for AI regulation 17:10 - Political influences on regulatory approaches and the need for national AI legislation 19:54 - Blockchain's dormant potential for workforce data sovereignty and validation 22:07 - The future of digital identity verification and the use of blockchain for employee records 24:11 - Risks of identity fraud and the importance of robust verification methods 26:22 - How AI can both combat and exacerbate identity fraud and security vulnerabilities 28:25 - Insider threats, employment fraud, and the importance of vigilance in digital security 31:10 - Strategies for HR leaders to become AI literate with minimal time investment 33:24 - The importance of understanding what "agent" and "automation" truly mean in HR tech markets 35:23 - Aligning AI initiatives with business and HR strategies to solve real problems 37:07 - Cost considerations, the hidden expenses of AI, and the importance of planning for ROI 38:48 - The "free" AI myth and the real costs of tokens, processing, and hardware investments 40:08 - The impact of AI data quality on recommendations and organizational decision-making 41:04 - Closing remarks and appreciation for Tim Sackett’s insights Resources & Links: Anthropic's Prompt Engineering Video Keith Sondralin - Department of Labor Claude AI by Anthropic ChatGPT by OpenAI Gemini AI by Google The Fair Credit Reporting Act Connect with Tim Sackett: LinkedIn Twitter Note: For HR leaders, gaining a foundational knowledge of AI is critical. Resources like Anthropic's short videos or AI primer courses can accelerate understanding and help avoid vendor hype and legal pitfalls.
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    42 分
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