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 


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