HR Data Labs

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284

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Aug 2026

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EN-US

About the show

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!

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August 6, 202627 min

Season 11 Recap

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. 

July 30, 202635 min

Alison Campbell - Burnout is a organizational design issue and increasingly a business risk. It’s NOT just a wellbeing issue.

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 

July 23, 202641 min

Tim Sackett - The State of AI in HR and Talent Acquisition: Trends, Challenges, and Regulatory Concerns

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. 

July 16, 202633 min

Chris Russell - The Future of Job Searching and Recruiting: AI, Market Chaos, & What’s Next

Are we staring into the abyss of a hiring chaos or on the brink of a revolution? Join us as we dive deep into the messy truth behind current job boards, AI's role in hiring, and how the market is reshaping the talent game. This is raw, real, and everything you need to understand where work is headed today.  In this episode:  The turbulence in the job board market and declining power of giants like ZipRecruiter and Indeed  How AI could finally end ghosting and improve hiring transparency  The impact of economic slowdown and slow hiring strategies on blue vs. white collar jobs  Why employer distrust is rising and how pricing models fuel the chaos  The future of smaller companies, AI assistants, and the redefinition of HR in a tech-driven world    Timestamps: 00:00 - Introduction: Unpacking the chaos in recruiting tech 02:22 - Fun facts about Chris: Kayaking and hiking adventures 04:40 - The real trouble with job boards: Struggling giants and market share battles 07:12 - Is the market slowdown due to fewer jobs or just hiring shifts? 08:41 - Employer behavior shift: Quantity over quality and ghosting culture 09:56 - AI's potential to eliminate ghosting and streamline the recruitment process 11:11 - How companies like Greenhouse are rethinking candidate experience 12:54 - The fundamental business problems facing job boards today 14:29 - Why secondary job boards are failing to overtake giants 17:50 - Trends in blue collar vs. white collar hiring challenges 19:04 - The nightmare of application processes and resume parsing 22:57 - The future of AI agents for job seekers and hiring automation 26:24 - Will smaller, more AI-driven companies dominate the future? 28:52 - How job seekers are feeling: Fear, hope, and AI optimism 30:33 - The human side of AI: From greeting cards to personalized connections 31:49 - The coming era of smaller teams powered by AI efficiency 33:35 - Creative visions: HR Data Doodles and comedy in Human Resources    Resources & Links:  RecTech Media - Follow Chris Russell for cutting-edge insights  ZIPRecruiter - The struggling giant of job boards  Indeed - Dominant market player and trends insight  Greenhouse - HR tech innovator focusing on candidate experience  Europe's AI & Data Privacy Standards - For regulatory context  YouTube: Human Resources TV Show - Satirical look into HR humor  Connect with Chris Russell:  LinkedIn  Twitter  Stay tuned for more episodes where we challenge the status quo, ignite the future of work, and boldly explore what’s next in HR and recruitment. 

July 9, 202638 min

Helena Almeida - AI Governance as a differentiator for HR and your Organization

Imagine a world where AI is not just a tool but a partner that elevates human judgment, responsibility, and ethics. That’s exactly what Helena Almeida, VP of Ethics at ADP, reveals in this electrifying episode, a true call to action for every HR leader and business executive. Dive into the real talk about AI governance, responsible use, and how to stay human in a tech-driven world. Your organization’s future depends on it.  In This Episode:  Helena Almeida’s journey from litigator to AI ethics pioneer.  The human side of AI: trust, hallucinations, and accountability.  How responsible AI standards are shaped by legal and ethical boundaries.  Practical advice for HR leaders: leveraging AI without losing the human touch.  The critical role of friction in HR processes to ensure fairness and accuracy.  Why AI isn’t a replacement but an enhancer — and the importance of smart design.  Navigating complex legal landscapes: pay transparency, union rules, and cross-state regulations.  How business leaders without tech backgrounds can champion responsible AI.  The future of HR workflows with AI: rethinking old processes and embracing healthy friction.  What “responsible AI” really looks like for your organization.  Timestamps: 00:00 - Welcome to the bold new era of AI in HR 02:00 - Helena’s transition from litigation to AI ethics leadership 04:00 - The myth of AI without human oversight 07:00 - Hallucinations in AI and how to manage trust 09:30 - Balancing AI accuracy with human judgment 12:00 - Ensuring data integrity in AI-driven HR systems 15:00 - Managing variations in employment law with AI 18:00 - The challenge of complex, multi-layered HR rules 21:00 - Standards for responsible AI: high stakes decisions 24:00 - The importance of skilled designers and human oversight 27:00 - The impact of automation on HR talent and friction 30:00 - How business leaders can lead AI governance without technical expertise 33:00 - Rethinking HR workflows for AI integration 36:00 - Healthy friction: the secret to responsible AI in HR 38:00 - Final thoughts: humans and AI working together for better workplaces Resources & Links:  ADP  Helena Almeida - LinkedIn  Responsible AI Guidelines  Book: "Human + Machine" by H. Simmons  Connect with Helena Almeida:  LinkedIn  Twitter  Final Call: The future of HR is human. The future of AI is responsible. You have the power to shape both. Listen now — and be bold enough to lead with integrity, insight, and purpose. 

June 30, 202647 min

Mark Stelzner - What 20 Years of Transformation Taught Me About Change

An Intimate Conversation with Mark Stelzner Delves into a candid, passionate exploration of how the landscape of HR, business, and leadership has transformed over two decades. Mark Stelzner shares raw insights about the accelerating pace of change, the rise of AI, and the shifting dynamics of organizational survival. In this episode: The relentless acceleration of business change and its impact on leadership (00:50) Why traditional five-year plans are now laughable and what that means for HR (07:20) The profound influence of social and digital currency on organizational momentum (08:14) How disruption is no longer an exception but the new normal, BlackBerry to Apple (09:45) The rise of holding companies and the collapse of monolithic giants (11:05) Navigating complexity factors and the importance of agility over size (12:30) The real story behind beta and growth opportunities in turbulent times (13:42) The amplified role of HR as a strategic, pivotal driver of organizational resilience (28:10) The shift from administrative to strategic HR—what is lost, what is gained (39:45) The evolving role of AI in HR operations and strategy (42:36) Mark's reflections on two decades of growth, adaptability, and leadership (43:11) The urgent need to rethink HR's purpose and practices in this fast-changing era (39:16) Resources & Links: Mark Stelzner on LinkedIn IA Consulting Amazon: "The Innovator's Dilemma" by Clayton M. Christensen Connect with Mark Stelzner: LinkedIn Twitter This episode is an unmissable journey through the raw truth of transformation, resilience, and the relentless pursuit of relevance in an ever-evolving world. Prepare to challenge your assumptions and ignite your passion for change.

June 18, 202626 min

Brodie Meyer - How Yourco is using AI to close the communication gap between HR leaders and frontline employees

This episode dives deep into the transformative power of AI in bridging the communication chasm between HR leaders and frontline employees. Brodie Meyer shares candid insights on how a simple SMS strategy turned into a revolutionary tool that improves engagement, safety, and retention, proven among industries that most need it. In this episode: Brodie's journey from blue-collar roots to HR tech innovator The story behind YourCo, a frontline employee communication platform Why traditional tools failed frontline workers and how SMS changed the game The magic of two-way texting and real-time conversations Metrics revealing improved engagement: from immediate reach to 86% two-way after 90 days The tangible outcomes: decreased turnover, higher safety, and increased productivity The strategic use of AI: frontline insights and sentiment analysis Practical advice: meet employees where they are on their devices and habits Brodie’s thoughts on AI’s role in scaling HR communications effectively Timestamps: 00:33 - Welcome to the HR Data Labs podcast with Brodie Meyer 01:08 - Meet Your Co: transforming frontline communication in traditional industries 02:14 - Brodie's personal motivation and background 03:01 - Juggling family and startup life with new born Nolan 04:12 - Brodie’s fun fact: love for Italian cooking 05:32 - The gap between HR and frontline workers — origins of the idea 06:15 - Struggling with Slack in blue-collar environments 07:55 - The breakthrough: SMS as the go-to communication channel 08:29 - Why texting works: older devices, language barriers, and habits 11:11 - Building a two-way platform that’s accessible and effective 12:05 - Employee and management feedback: engagement truths 13:05 - Impact: exceeding expectations and improving workforce sentiment 14:33 - Scaling solutions for large enterprises while maintaining engagement warmth 15:38 - Metrics: Achieving 86% two-way engagement after 90 days 16:52 - The importance of real conversations with frontline staff 17:39 - The ROI focus: reduced turnover, safety, productivity improvements 19:57 - AI in frontline communication: frontline intelligence and sentiment analysis 21:24 - Ensuring data accuracy and transparency with citations 23:08 - Practical advice: meet employees where they are to unlock results 23:43 - Closing thoughts and the power of meeting employees where they truly are. Resources & Links: Your Co -The frontline communication platform transforming industries Book: HR Transformation by John Smith Brodie Meyer - LinkedIn | Twitter AI & Sentiment Analysis Tools — Google Cloud AI Connect with Brodie Meyer: LinkedIn Twitter End on this: If you want to revolutionize HR and frontline engagement, meet your employees where they already are, on their phones, their language, their habits. That’s the secret sauce to unlocking productivity, safety, and retention at scale. Don’t just imagine it, do it!

June 11, 202638 min

John Kim - The Hidden Costs of Hiring and How AI Amplifies the Problem

Dive deep into the messy truth about recruiting today, where human laziness, outdated systems, and misguided AI tools collide. Find out how smarter strategies and better incentives could revolutionize talent acquisition and HR. In this episode: How AI amplifies bias and noise in recruiting, not fixes it The pitfalls of traditional assessment methods and the rise of work trials Why incentive structures for recruiters need a massive overhaul The future of gig and flexible work in talent sourcing Practical ways AI can enhance matchmaking, not replace human connection The importance of evolving HR processes alongside new tech tools The potential for independent recruiters to change the game Timestamps: 00:00 - Welcome and intro to today's hot topic in HR 00:32 - Meet John Kim: CEO of ParaForm, HR innovator 01:03 - John’s background and why mobility shaped his worldview 02:39 - The superpower of adaptability from constant moving 03:27 - Why AI often worsens recruiting chaos instead of fixing it 04:56 - The noise problem: How AI creates more applications and confusion 05:53 - The laziness behind superficial hiring practices 06:47 - How current metrics incentivize shortcuts in recruitment 08:33 - Using AI to address asymmetries and better assess candidates 10:36 - The evolution and necessity of performance-based assessments 12:01 - On-site work trials and mutual company-candidate evaluation 13:00 - Speed dating vs panic room: new interview models 14:14 - The discipline gap in talent acquisition teams 15:27 - The role of AI in transforming candidate and recruiter interactions 16:02 - Can AI really match candidates with limited data? 18:12 - The importance of data quality in AI-driven hiring 19:30 - Changing transparency around candidate and employer feedback 20:00 - How platforms like ParaForm align incentives for better matches 22:08 - Rethinking recruiter compensation models for higher quality hires 23:23 - The potential of independent recruiters for more outcome-focused hiring 25:57 - Balancing internal teams and external experts for best results 28:32 - How AI can reduce recruitment grunt work and increase efficiency 30:36 - The shift to gig, contract, and flexible work models 33:01 - Lessons from HR’s past mistakes and the need for continuous learning 35:28 - Harnessing the power of new tools and tech in HR evolution. Resources & Links: ParaForm Upwork Fiverr Connect with John Kim: LinkedIn Twitter Feel the energy? It’s time to rethink your hiring game, embrace automation, challenge old norms, and prioritize real human connection. The future of talent acquisition depends on it. Now go out there and lead the charge!

June 4, 202629 min

Carlee Wolfe - The Future of Work, AI and HR

Hold tight. Today’s episode? It’s a wild ride through the chaos and clarity of AI in the workplace. We’re digging into how HR and leaders can embrace innovation without shooting themselves in the foot. If you're feeling overwhelmed or skeptical about AI boundaries, this is your reality check and rally cry all in one. In this episode: The true impact of hotels on community and human experiences The metaphor of AI tools as gym equipment—hidden potential and the importance of guidance Guardrails around AI: costs, ethics, and performance illusions Why access to AI is a must—no gates, no barriers, big opportunities The need for specific training versus generalized skepticism The parallel between AI in education and employment—breaking down misconceptions How we should focus on the results not just the means Timestamps: 00:00 - Meet Carlee Wolfe: HR leader redefining talent and organizational effectiveness 01:12 - The heart of hospitality: impact on community & human connection 02:16 - Hotels as spaces for life's biggest moments—marriages, tragedies, celebrations 03:32 - How hotels influence local economies & culture 04:59 - The fascinating kosher hotel fact in Chicago—layered infrastructure and community needs 06:25 - Carlee’s fun facts—skydiving, bungee jumping, and the importance of knowing your limits 09:38 - What’s rattling Carlee’s mind for 2026? The future of AI, HR, and disruption 10:22 - Guardrails on AI: costs, ethics, and misconceptions about performance 12:10 - Why restricting AI access can hinder performance—and why that’s a mistake 13:33 - Rethinking performance metrics in the age of AI: productivity, quality, and innovation 14:02 - The risk of private vs. corporate AI use—leaking secrets or gaining speed? 15:02 - The training gap: equipping your team to harness AI effectively 17:21 - The gym metaphor: AI tools as machines—and the overlooked ‘back of the gym’ space 18:46 - Building a culture around exploration & experimentation in AI adoption 19:34 - The variety of AI ‘machines’: Claude, Perplexity, ChatGPT—the importance of understanding differences 21:08 - How applicants and employers can use AI ethically & effectively in hiring 23:24 - Education’s role: from cheating to enhancing learning using AI tools 24:55 - Embracing AI as a workforce builder, not a barrier—why resistance stalls progress 25:24 - The evolution of research & referencing—AI as a thinking partner 26:19 - The importance of maintaining mental agility—training the muscle, not just the machine 27:04 - Results over methods: why focus on outcomes? Resources & Links: Book: Human + Machine: Reimagining Work in the Age of AI by H. James Wilson & Paul R. Daugherty GPT-4 by OpenAI Claude AI Perplexity AI Connect with Carlee Wolfe: LinkedIn Twitter This episode is a bold call to see AI as a tool, not a threat. Change your mindset, unlock your potential, and remember, you get to choose whether AI becomes your crutch or your launchpad. Stay curious, stay bold. The future is yours to shape.

May 28, 202641 min

Cole Napper - People Analytics in the World of AI

Get ready to unleash a surge of passion, truth, and bold insights on how AI is revolutionizing people analytics. Cole Napper, a true luminary in the space, shares the raw reality of data's power, pitfalls, and the brave new world ahead. Buckle up, this isn’t just a podcast; it’s a rallying cry for HR and analytics pros to lead with purpose. In this episode: How far has people analytics come since its early days The impact of COVID and AI on credibility and practice Why analytics teams are transforming into the future of HR The role of AI in automating dashboards, insights, and decision-making The importance of trust and ethical data use in predictive models How to navigate data quality issues that threaten decision accuracy Why the next wave is about people intelligence rather than simple reporting Practical advice for HR teams deploying AI safely and strategically Timestamps: 00:26 - Intro: The evolution of people analytics & Cole Napper’s background 01:08 - The roots and rise of HR analytics before AI became a buzzword 03:22 - The tremendous journey: from skepticism to credibility in analytics 04:38 - How COVID accelerated AI’s role in HR decision-making 05:07 - Influential luminaries shaping the analytics field 05:57 - Richard Rosenau’s pioneering efforts in analytics recognition 06:43 - The digital impact: How analytics influence real-world change 07:12 - Paying it forward: The importance of community and mentorship 08:15 - The torch carriers: Keeping analytics alive through new generations 09:00 - The threat of layoffs and AI’s false promise to replace analytics teams 09:48 - Recognizing the upcoming AI boom in HR and people analytics 11:09 - The challenge and opportunity: Organizing analytics teams in turbulent times 12:33 - The shift from building dashboards to strategic people intelligence 13:11 - Why risk-taking and experimentation are vital in transformative times 14:16 - The importance of trust, ethics, and human oversight in AI deployment 15:11 - The commoditization of data skills and the rise of strategic role of people intelligence 16:49 - How AI is changing the way we get notified and interact with insights 18:08 - The problem with push notifications and how to create demand for insights 19:41 - The true nature of predictive analytics: asking behind the questions 20:36 - The importance of context, data quality, and avoiding flawed signals 23:25 - The exponential evolution of data speed and the shrinking time to insights 28:17 - The real challenge: acting on predictions without destroying trust 30:23 - The costs of AI: tokenomics, data bills, and strategic investment 33:11 - The greatest data pitfall: messy, unclean HR data and its impact 36:39 - Embracing “Directionally Correct” — the pragmatic path forward 37:42 - The art versus science of compensation data 38:12 - The ultimate focus: solving the business problem 38:41 - Closing thoughts: leadership, trust, and being bold in AI-driven HR Resources & Links: People Analytics: Reinventing HR & Work with AI Cole Napper - LinkedIn HR Bench Directionally Correct (Newsletter & Podcast) Connect with Cole Napper: LinkedIn Twitter