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FUTUREPROOF.

FUTUREPROOF.

著者: Jeremy Goldman
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Welcome to FUTUREPROOF. We're the podcast that delves into the future. From Augmented Reality to Artificial Intelligence to Smart Cities to Internet of Things to Virtual Reality, we speak with some of the sharpest minds to better help you understand what the next few years may look like.Brought to you by author Jeremy Goldman (Going Social, Getting to Like).For booking inquiries: vie@futureproofshow.com© 2023 FUTUREPROOF. アート
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  • Re-Humanizing the Algorithmic Workplace (ft. author Phanish Puranam)
    2025/05/13

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    Today's guest is Phanish Puranam, INSEAD Professor and author of Re-Humanize: How to Build Human-Centric Organizations in the Age of Algorithms. He's the perfect guest to discuss how AI is transforming—not just tasks—but the very DNA of how organizations operate.

    Here’s what you’ll learn:

    • Why the future of AI in business isn’t about job replacement, but organizational redesign
    • How AI is turning from tool to teammate, and what that means for leadership and decision-making
    • What "bionic organizations" are—and how companies can blend algorithms and humans without crushing autonomy or purpose
    • Why algorithmic bureaucracy might quietly become the most dangerous workplace trend
    • How poor implementation of AI threatens to destroy learning cultures and employee agency
    • The four pitfalls of AI adoption most companies fall into—and how to avoid them
    • A framework for designing AI systems that enhance human competence, not erode it
    • Why employees—not just executives—should shape the future of AI-powered work

    About our guest:
    Phanish Puranam is the Roland Berger Chaired Professor of Strategy & Organization Design at INSEAD, where he also leads the Organizations & Algorithms research initiative. With a career focused on the science of how organizations work—and how they change—he brings a deeply research-backed, globally informed perspective on the next phase of AI’s workplace evolution.

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    23 分
  • Building Inclusive Cultures That Last (ft. author Jonathan Stutz)
    2025/05/06

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    In this episode, Jeremy sits down with Jonathan Stutz, co-author of the powerful book Daily Practices of Inclusive Leaders, to explore what it really means to lead with inclusion in mind—every single day. As a former executive at Microsoft, Amazon, and Zulily, Jonathan blends deep corporate experience with a people-first lens to rethink how workplaces should function in an age of upheaval.

    Together, they dig into:

    • Why inclusion is no longer an HR side quest but core to effective leadership
    • The case for small, intentional “inclusive pebbles” that ripple into systemic change
    • What leaders get wrong about DEI—and how to fix it without corporate jargon or empty gestures
    • Why inclusive leadership is increasingly being rebranded as just... good leadership
    • How to build cultures where people feel seen, heard, and equipped to succeed

    Whether you're a people manager, an exec navigating culture shifts, or just someone who wants to show up better at work, Jonathan offers grounded advice and personal stories that will inspire and challenge you.

    Referenced in this episode:
    📘 Daily Practices of Inclusive Leaders – Get the book
    🔗 Learn more about Jonathan's work at Global Diversity Partners

    Key quote:
    "Inclusion isn't a department. It's a daily habit that belongs to every leader." – Jonathan Stutz

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    25 分
  • Why Enterprise AI is the Sleeping Giant of Innovation (ft. Inna Tokarev Sela, illumex.ai)
    2025/04/15

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    Enterprise AI is having a moment—but it's not the one you think. In this episode, Jeremy sits down with Inna Tokarev Sela, founder of Illumex, to talk about what it really takes to build reliable, governed AI systems at scale. With decades of experience at Sisense, SAP, and now at the helm of her own company, Inna lays out why explainability, trust, and diversity in leadership are the keys to unlocking AI’s potential inside the enterprise. From hallucination hazards to governance gaps and the ethics of AI design, this episode is a must-listen for anyone building the future of intelligent systems.

    Here’s what you’ll learn:

    • Why the biggest obstacle to enterprise AI isn’t ethics—it’s infrastructure
    • The three pillars of AI trust: explainability, data access, and governance
    • How diverse teams lead to more ethical and effective AI
    • What hallucinations in AI outputs reveal about your data pipeline
    • Why unifying context matters more than ever for AI accuracy
    • How leaders can future-proof their companies by fixing their foundations
    • Why being “application-free” might be the future of business workflows
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    22 分

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