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Elevate Your AIQ

Elevate Your AIQ

Auteur(s): WRKdefined
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À propos de cet audio

 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 Développement commercial et entrepreneuriat Entrepreneurship Gestion et leadership Économie
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  • Ep 107: Measuring AI Maturity, ROI, and Organizational Impact with Russ Fradin

    Ep 107: Measuring AI Maturity, ROI, and Organizational Impact with Russ Fradin
    Feb 27 2026
    Bob Pulver sits down with Russ Fradin, Founder and CEO of Larridin, to explore what it really takes for organizations to move from AI experimentation to measurable impact. They unpack the tension between AI excitement and enterprise reality, focusing on ROI, workforce readiness, responsible adoption, and the cultural shifts required to unlock productivity gains. Russ outlines why measurement and visibility are the missing pieces in most AI strategies and makes the case that high-agency professionals who embrace AI will shape the future of work. The conversation reframes AI not as a job eliminator, but as a force multiplier—if leaders build the right scaffolding to support their people. Keywords Russ Fradin, Larridin, AI ROI, AI readiness, AI maturity, workforce transformation, CIO strategy, CHRO strategy, CFO decision-making, productivity measurement, high-agency professionals, AI adoption, responsible AI, enterprise AI, organizational change Takeaways AI adoption without measurement leads to experimentation without accountability. CIOs, CFOs, and CHROs need visibility into what tools are actually being used—and whether they drive real productivity. The future of knowledge work is humans working with AI tools alongside agents. High-agency professionals who embrace AI will dramatically amplify their output and career trajectory. Organizations must move beyond individual productivity metrics toward team and enterprise-level effectiveness. Responsible AI adoption requires training, policy scaffolding, and clarity around secure, enterprise-grade usage. Companies that reinvest AI-driven productivity into growth will outperform those focused solely on short-term margin gains. Quotes “You can’t possibly understand the ROI of these tools without understanding what’s being used in your organization.” “Having great technology is necessary, but not sufficient to drive change.” “The future of work is humans using AI tools, working alongside agents.” “There’s no such thing as a knowledge worker five years from today who isn’t using AI in some part of their job.” “We’re effectively redefining what it takes to succeed in a lot of these roles—in real time.” “The companies that don’t partner with their employees on this transformation will get left behind.” Chapters 00:02 Welcome and Introduction 00:31 Russ’s Background and the Vision Behind Larridin 01:32 Why AI Is a Generational Technology Shift 03:34 The Measurement Gap in Enterprise AI Adoption 06:17 Workforce Anxiety and AI Upskilling 10:33 The ROI Question and Productivity Metrics 15:10 Global Talent, Competition, and AI Parallels 20:17 Responsible AI and Security Considerations 26:20 Building the Scaffolding for Adoption 30:48 Understanding What “Great” Looks Like 34:55 Who Captures the Productivity Gains? 40:22 The High-Agency Advantage in the AI Era 46:09 Why Smart Companies Invest in Their People 52:04 What’s Next for Larridin 53:09 Closing Remarks Russ Fradin: https://www.linkedin.com/in/rfradin Larridin: https://larridin.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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    55 min
  • Ep 106: Activating Network Intelligence to Unlock Strategic Opportunities with Stephen Messer

    Ep 106: Activating Network Intelligence to Unlock Strategic Opportunities with Stephen Messer
    Feb 20 2026
    Bob Pulver is joined by Stephen Messer, serial entrepreneur and co-founder of Collective[i] and Intelligence.com, to explore how collective intelligence, social analytics, and contextual AI are reshaping how business gets done. Stephen challenges the limitations of traditional SaaS and language models, arguing that true AI value comes from modeling real-world systems — especially how trust, relationships, and buying decisions actually unfold. The conversation dives into economic foundation models, the hidden power of relationship graphs, and why activating trusted networks may be the missing link in sales, hiring, and enterprise decision-making. Together, they unpack how removing friction and restoring context can unlock warp-speed productivity and more human-centered outcomes. Keywords Stephen Messer, Collective[i], Intelligence.com, collective intelligence, economic foundation model, relationship graphs, trust networks, contextual AI, sales productivity, forecasting, CRM transformation, go-to-market strategy, weak ties, network intelligence, AI agents, decision-making Takeaways Collective intelligence enables AI to model real-world business systems, not just generate language or automate workflows. Context — including relationships, timing, incentives, and market conditions — is the missing ingredient in most AI-driven decision-making. Traditional SaaS stacks create “silos of intelligence,” limiting visibility and reducing the effectiveness of AI tools layered on top. Relationship graphs built from verified interactions unlock faster, higher-trust introductions and better business outcomes. Trust acts as an accelerator in commerce, reducing friction and enabling decisions at “warp speed.” Economic foundation models can forecast deal outcomes and market shifts by observing patterns across organizations. AI should remove internal friction so humans can focus on value creation, not administrative workflows. The future of work depends on combining contextual intelligence with trusted human networks. Quotes “To the man with a hammer, the world looks like a nail.” “You’re not modeling words — you’re modeling a system.” “If I don’t understand the context, I can’t understand the outcome.” “Trust enables transactions at warp speed.” “Most AI today is predicting the next best word — not the next best decision.” “The friction to leverage your own network is far too high.” Chapters 00:01 Introduction and Stephen’s Entrepreneurial Journey 00:40 Founding Collective[i] and the Vision Behind It 02:22 Replacing the Traditional Sales Stack with Contextual AI 05:46 Why Context Matters More Than Prompt Engineering 09:18 Systems of Record vs. Systems of Understanding 16:01 The Limits of LinkedIn and Relationship Context 23:24 Introducing Intelligence.com and Verified Networks 36:39 The Origins of Collective Intelligence and Economic Modeling 48:20 Trust Networks, Hiring, and Weak Ties 55:52 Forecast Series and the Power of Long-Form Dialogue 1:00:58 Closing Thoughts and What’s Next Stephen Messer: https://www.linkedin.com/in/stephenmesser Collective[i]: https://collectivei.com/ Intelligence.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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    1 h et 2 min
  • Ep 105: Transforming High-Volume Hiring for Greater Efficiency and Effectiveness with Dave Vu

    Ep 105: Transforming High-Volume Hiring for Greater Efficiency and Effectiveness with Dave Vu
    Feb 13 2026
    Bob sits down with Dave Vu, Co-founder of Ribbon, to explore how AI is reshaping high-volume hiring and the candidate experience. Drawing on his background in recruiting, venture capital, and scaling AI startups, Dave shares why the hiring funnel is breaking under application volume—and how AI interviews can help close the gap. They discuss human-in-the-loop design, responsible AI, regulatory trends, bias mitigation, and why transparency and feedback are critical to building trust in the future of work. Keywords Dave Vu, Ribbon.ai, AI interviews, high-volume hiring, candidate experience, responsible AI, human-in-the-loop, talent acquisition, hiring automation, bias mitigation, AI regulation, recruiter efficiency, quality of hire, generative AI Takeaways Application volume has grown exponentially while recruiter headcount has remained relatively flat, creating a widening efficiency gap. AI interviews can reduce screening time by 50% or more while improving consistency and fairness. Candidate experience improves when applicants receive timely engagement, flexibility, and meaningful feedback. Human-in-the-loop design ensures AI handles repetitive tasks while recruiters retain decision-making authority. Transparency about AI usage builds trust and increases candidate adoption. Regulatory clarity will accelerate enterprise adoption of AI in hiring. Responsible AI implementation requires balancing innovation with bias mitigation and compliance guardrails. Generative AI advancements are reshaping not only hiring, but content creation and digital trust more broadly. Quotes “Our long-term mission is to hire within 24 hours and make hiring faster and fairer.” “Human-centricity doesn’t equate to anti-automation.” “The recruiter and hiring manager are always in the driver’s seat.” “It’s not about replacing humans—it’s about amplifying their capacity.” “Great candidate experience comes down to respect for their time.” “Regulations create certainty—and certainty accelerates adoption.” Chapters 00:02 Introduction and Dave’s career journey in talent 02:55 Scaling an AI startup and identifying hiring challenges 05:02 The high-volume hiring problem and Ribbon’s mission 10:40 Designing a better candidate experience with AI 15:16 Rethinking resumes and screening inefficiencies 22:41 Human-in-the-loop and responsible AI principles 24:40 Regulation, transparency, and enterprise adoption 28:57 Candidate acceptance and AI interview adoption trends 34:28 Integration with ATS platforms and workflow evolution 43:01 Personal reflections on generative AI and digital trust 49:29 AI literacy, workforce disruption, and the future of hiring Dave Vu: https://www.linkedin.com/in/dave-vu Ribbon: https://ribbon.ai 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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    50 min
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