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Elevate Your AIQ

Elevate Your AIQ

By: WRKdefined Podcast Network
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Bob Pulver is helping each of us navigate our respective journeys with artificial intelligence (AI) effectively and responsibly. Bob chats with AI and Future of Work experts, talent and transformation leaders, and practitioners who provide diverse perspectives on how AI is solving real-world challenges and driving responsible innovation.All rights reserved by WRKdefined Economics Management Management & Leadership
Episodes
  • Ep 61: Assessing AI Literacy, Readiness, and Maturity with Eryn Peters and Iwo Szapar

    Ep 61: Assessing AI Literacy, Readiness, and Maturity with Eryn Peters and Iwo Szapar
    Jul 1 2026
    Bob Pulver catches up with Erin Peters and Iwo Szapar to explore the evolving landscape of AI literacy and their AI Maturity Index (AIMI). They discuss the importance of understanding how AI is being utilized in the workplace, the development of AIMI to benchmark AI readiness, and the STEP framework for implementing AI strategies. The conversation hits on the distinction between automation and augmentation, challenges orgs face in measuring productivity, and the need for a more nuanced understanding of AI's value proposition. Bob and his guests discuss the multifaceted aspects of AI adoption, how to measure progress, how to gauge maturity levels, and the importance of benchmarking. They explore the evolving landscape of AI skills in hiring, cultural shifts towards AI integration, and the necessity of responsible innovation. The dialogue also touches on the governance and ethical considerations surrounding AI, as well as global perspectives on its implementation, particularly in regions like Saudi Arabia. Keywords AI literacy, AI maturity index, future of work, automation, augmentation, productivity, change management, digital transformation, workforce development, AI strategy, AI adoption, organizational maturity, competitive benchmarking, AI skills, hiring trends, cultural shifts, responsible innovation, AI governance, global AI perspectives Takeaways AI literacy is crucial for the future of work. The AI maturity index helps organizations benchmark their AI readiness. The STEP framework simplifies AI implementation processes. Many organizations struggle with AI implementation despite having strategies. AI can enhance productivity and work-life balance. Understanding the real value of AI goes beyond cost savings. Personalized approaches to AI implementation are essential. The landscape of AI is rapidly evolving, requiring continuous learning. Measuring AI adoption success requires real data, not just anecdotes. Departments within organizations may have varying maturity levels in AI adoption. AI skills are becoming essential in hiring practices across industries. Cultural shifts are influencing how organizations embrace AI technology. Responsible innovation is crucial for leveraging AI effectively. AI governance must balance control with worker empowerment. Global perspectives on AI adoption reveal significant regional differences. Organizations need to adapt to the rapid pace of AI advancements. Sound Bites "AI is going to steal your job." "We help individuals, teams and organizations." "Democratize access to insights." "80% of AI implementation projects are failing." "AI can really help fix a lot of challenges." "It's about making my life easier." "We need to start looking at real value." "This is what I'm doing right now." "We can go more in depth, more personalized." "We're all tech enabled in different ways." "This is a balancing act of guided empowerment." Chapters 00:00 Introduction to AI Literacy and Maturity Index 03:49 Understanding the AI Maturity Index 11:44 The STEP Framework for AI Implementation 18:43 Navigating Automation vs. Augmentation 23:23 Measuring AI Value Beyond Cost Savings 25:55 Measuring Success in AI Adoption 30:23 Understanding Organizational Maturity in AI 31:21 The Competitive Edge of AI Benchmarking 32:58 The Future of AI Skills in Hiring 37:12 Cultural Shifts in AI Adoption 40:37 Responsible Innovation in AI 46:05 Navigating AI Governance and Ethics 50:00 Global Perspectives on AI Implementation Eryn Peters: https://www.linkedin.com/in/erynpeters Iwo Szapar: https://www.iwoszapar.com/ For advisory work and marketing inquiries: Bob Pulver: https://linkedin.com/in/bobpulver Elevate Your AIQ: https://elevateyouraiq.com Thanks to Warden AI (https://warden-ai.com) for their sponsorship and support of the show! Warden is an AI assurance platform for HR technology to demonstrate AI-powered solutions are fair, compliant and trustworthy.
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    55 mins
  • Ep 124: Rethinking Content Discovery and Responsible Innovation with Daniel Sieberg

    Ep 124: Rethinking Content Discovery and Responsible Innovation with Daniel Sieberg
    Jun 26 2026
    Daniel Sieberg, co-founder and CEO of Screen Genius, joined the show to discuss how his company is building what he calls a universal navigation layer for human curiosity. Coming from over a decade in broadcast journalism followed by six years at Google, Daniel brings a distinctive perspective on how we search, discover, and consume content. Screen Genius started as a B2C streaming guide and pivoted into a B2B discovery-as-a-service platform, helping companies with large digital catalogs, from books and art to retail and food, surface more relevant recommendations through conversational, intent-driven AI. The conversation covers the gap between what recommendation engines promise and what they actually deliver, the importance of building AI responsibly by design, and the concept of "Gen T," generation transition, as a framework for shared human responsibility in shaping where AI goes next. Keywords Daniel Sieberg, Screen Genius, discovery as a service, recommendation engines, conversational search, semantic tagging, human-centric AI, responsible AI, paradox of choice, content discovery, B2B middleware, personalization, digital catalogs, Gen T, generation transition, Google News Lab, AI hype cycle Takeaways Screen Genius pivoted from a consumer streaming guide to a B2B discovery-as-a-service platform after recognizing that its recommendation engine had broader value across verticals including books, art, food, and retail Most recommendation systems ask users to search like a machine; Screen Genius is building conversational, intent-driven discovery that lets people search more like humans The paradox of choice is a core design constraint: once options exceed roughly five, human decision-making breaks down, so narrowing a massive catalog to a meaningful few is the real product Enterprise knowledge workers are a second use case: internal discovery tools to help employees navigate large data archives, not just consumer-facing recommendations Daniel frames responsible AI not as compliance but as ethos, citing his family history and mission to leave something beneficial to humanity as the throughline behind the company "Gen T," generation transition, reframes the AI debate away from generational blame toward shared responsibility for shaping what AI becomes Quotes "It feels like a rebellious act to fight for humanity these days." "AI is now helping us to search more like a human, which I find fascinating in the discovery evolution of where this is all going." "We like to call ourselves the universal navigation layer for human curiosity." "Business is trust, money is trust, relationships are trust. You're going to need to talk to a human being." "Gen T is generation transition, and we all have a shared responsibility in thinking that through." "I hope that we champion this responsible AI flag for as long as we're in existence." Chapters 00:02 Welcome and introductions 01:01 Daniel's career arc from journalism to Google to entrepreneurship 04:53 The origins of Screen Genius and the problem of content overload 08:38 From streaming guide to B2B discovery-as-a-service platform 13:02 Competing with Algolia and moving past the AI hype cycle 15:55 Personalization, intent, and the limits of recommendation engines 20:10 The paradox of choice and narrowing massive digital catalogs 24:14 Breaking down silos and building a universal navigation layer 30:33 Respecting human time and the enterprise knowledge worker use case 40:30 Why human relationships still matter more than vibe coding 43:05 Gen T, generation transition, and shared responsibility for AI's future 46:32 Responsible by design and the Screen Genius mission Daniel Sieberg: https://www.linkedin.com/in/danielsieberg/ ScreenGenius: screengeni.us For advisory work and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠ Substack: ⁠https://elevateyouraiq.substack.com⁠
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    53 mins
  • Ep 123: Operationalizing Agentic Workforce Intelligence with Noelle London

    Ep 123: Operationalizing Agentic Workforce Intelligence with Noelle London
    Jun 19 2026
    Noelle London, founder and CEO of Illoominus, returns to Elevate Your AIQ just over a year after her first appearance to chat with Bob about what has changed and what Illoominus has built in response. The conversation covers how decision cycles inside organizations are compressing, why AI adoption has accelerated but also created new governance risks, and how the gap between individual experimentation and enterprise-ready deployment has become the defining challenge for people leaders today. Noelle details the launch of Illoominus Agentic Workforce Intelligence, a capability already in production with customers that delivers proactive, AI-generated insights directly into executive workflows rather than waiting for someone to go find them in a dashboard. The discussion closes on the importance of governed, secure AI environments as organizations move from pilots to scale, and why data alignment across HR, finance, and operations remains the foundation everything else depends on. Keywords Noelle London, Illoominus, workforce intelligence, agentic AI, people analytics, HR data, workforce planning, talent acquisition, data governance, AI adoption, decision support, workforce transformation, future of work, data literacy, AI readiness, responsible AI, executive reporting Takeaways Decision cycles across HR, finance, and operations are compressing rapidly, making real-time workforce data no longer a nice-to-have but a business requirement The gap between AI experimentation at the individual level and governed, enterprise-ready deployment is where most organizations are getting stuck right now Illoominus Agentic Workforce Intelligence delivers proactive, contextualized insights directly into executive inboxes, shifting the model from reactive dashboarding to continuous intelligence Data alignment across functions, getting HR, finance, and ops working from a single trusted source, is the prerequisite for any meaningful workforce analytics initiative Governed, secure AI environments are essential as agentic tools scale, particularly around access levels, data privacy, and agent-to-agent communication Consultants are increasingly embedding Illoominus as the analytical backbone of engagements, shifting their own value toward change management and strategy Quotes "The puzzle pieces weren't talking, and so that's first and foremost, it doesn't really help to have something very interesting if it's not connected together." "Every single week, every single person on their executive leadership team are getting AI-driven insights into their inboxes to help them understand what's going on." "You're not getting graphics, you're getting the full understanding on are we good, or is this something that we need to pay attention to." "HR doesn't have a different version of headcount than finance does. Those are very real examples of where we've seen some of these data initiatives stall." "How do you make sure if you're using AI within the organization, it's governed properly so that you're not using these tools as a pass through for people that shouldn't have access to information." "It's the end of everything as we've known it, and change management with the amount of technology that companies are adopting, that's a really interesting place for consultants to play." Chapters 00:02 Welcome and guest introduction 00:46 Illoominus origin story and the data connectivity problem 04:25 How Illoominus complements rather than competes with consultants 08:07 A year of change: compressed cycles, AI adoption, and new organizational pressures 15:12 Expanding self-serve insights across the leadership team 21:29 Launching Illoominus Agentic Workforce Intelligence 26:17 Accelerating business cases through data alignment across HR and finance 30:22 The full data picture: talent acquisition, skills, engagement, and beyond 36:51 Industry fit and the profile of an Illoominus customer 39:28 How executives interact with agentic insights 43:52 AI readiness, governance, and moving from experimentation to scale 49:52 Closing reflections and what comes next Noelle London: https://www.linkedin.com/in/noellelondon Illoominus: illoominus.com For advisory work and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠ Substack: ⁠https://elevateyouraiq.substack.com⁠
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    51 mins
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