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Technologist of the Month

There are no political solutions, only technological ones, the rest is propaganda. In The Technologist of the Month podcast, we go on an inspiring journey with visionary entrepreneurs, brilliant scientists, vigilant policymakers, and ingenious marketers.

Podcast · By Technologist of the Month · English · Official site

Indexed episodes, last 90 days
33
Latest publication
Sep 25, 2026
Audience
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Earliest in this view
Jul 3, 2026

Latest episodes

  1. Episode · Sep 25, 2026

    Snippet (from Episode 94)- Dianna Wilusz, VP of People Experience & Operations at SoftBank Robotics America on Working with Humanoid Robots and Why Familiarity Drives Comfort Sharing Sensitive Info (opens the original)

    Episode notes · Positive tone

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    🤖 Would You Trust a Robot With Your Most Personal Data? As robotics moves into HR, finance, legal, and other data-sensitive environments, trust and data security become just as important as the technology itself. 🎙️ Dianna Wilusz, Vice President of People Experience & Operations at SoftBank Robotics America, explores the human side of working alongside humanoid robots and why familiarity still plays a major role in how comfortable we feel sharing sensitive information with them. 🔐 Data protectio

  2. Episode · Sep 24, 2026

    Snippet (from Episode 97)- Raji Behal, Head of Western and Southern Europe, UK and Ireland at Klarna Shares How Her 14-Year Journey at Macy’s Opened the Door to Payments and Tech (opens the original)

    Episode notes · Positive tone

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    💼 When Your “Non-Tech” Experience Becomes Your Tech Advantage Sometimes, the experience you already have is more valuable than the experience you think you need. In this snippet, Raji Behal, Head of Western and Southern Europe, UK and Ireland at Klarna, shares how her 14-year journey at Macy’s, from buyer to leading one of the largest e-commerce sites in America, unexpectedly opened the door to payments and technology. After being told she didn’t have enough technology experience, Klarna saw som

  3. Episode · Sep 22, 2026

    Snippet (from Episode 96)- Pinar Ozcan, Professor of Entrepreneurship and Innovation at the University of Oxford, Explains Why Successful Innovation Depends on More Than Technology. (opens the original)

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    🚀 Great Technology Isn’t Enough A technology can be market-ready and still fail to reach consumers. In this snippet, Pinar Ozcan, Professor of Entrepreneurship and Innovation at the University of Oxford, explains why successful innovation depends on more than technology. From political conditions and the right promoters to a strong ecosystem and industry giants paying attention, adoption is a much bigger equation. 💡 🎯 Innovation needs an ecosystem. 🌍 Context shapes adoption. 🤝 The right players

  4. Episode · Sep 18, 2026

    Snippet (from Episode 91)- Rakesh Doddamane, AI Leader at Philips, Explains Why Organizations Must Evaluate ROI Across the Entire AI Value Chain, From Demand Intake to Scaling, and Responsible AI (opens the original)

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    🤖 AI Isn’t Expensive. Bad AI Strategy Is. How do you make sure your AI investments actually deliver value? Rakesh Doddamane, Leader – Generative AI / Responsible AI & User Experience at Philips, explains why organizations need to evaluate ROI across the entire AI value chain, from demand intake and data to implementation, scaling, AI literacy, and responsible AI. 💡 Start with value. 📊 Measure the ROI. 🚀 Scale what works. 🤝 Build responsibly. Because responsible AI isn't just about ethics. It’s a

  5. Episode · Sep 16, 2026

    Snippet (from Episode 88)- Dr. Satyajit Wattamwar, Data Science & Digital Expertise Leader at Unilever R&D, Explains How Different AI Models are Helping Accelerate Innovation at Almost Every Stage. (opens the original)

    Episode notes · Positive tone

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    🧪 AI Is Reshaping R&D From Discovery to Decision-Making From synthesizing millions of scientific articles to exploring new formulations and enabling smarter decisions, AI is becoming an integral part of the innovation pipeline. In this snippet, Dr. Satyajit Wattamwar, Data Science & Digital Expertise Leader at Unilever R&D, explains how different AI models are helping accelerate innovation at almost every stage. 🤖🔬 The future of R&D isn’t just about one AI tool, it’s about building an AI-powered

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