Future Tech And Foresight

Emerging and future technologies and the trends that they are linked to will be covered on this podcast. From the more obvious tech like: AI, Robotics, Autonomous Vehicles, and The Metaverse. To less well known disruptors like: Brain-Machine Interfaces, CBDC’s, Internet of Bodies, Smart Dust, Animal Human Chimeras, 4D Printing, Under The Skin Surveillance, Bio Computers and much more. A vision of what the future may hold will be painted to alleviate some of our collective Future Shock so we can make better decisions for tomorrow. Website: https://futuretechandforesight.com/

Future Tech And Foresight is a technology podcast hosted by Marc Verbenkov, with 242 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Marc Verbenkov hosts Future Tech And Foresight, a technology show with 242 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #243

  Why AI Will Kill Traditional Sales (With Len Ward of Commexis) - Ep #243

  Aug 18, 202651 min

  Marc and Len explore how the rise of agent-to-agent interactions is destroying traditional marketing, breaking down why building a centralized "company brain" is the only way to survive. About the Episode The way customers buy is fundamentally changing, moving rapidly from a "search and retrieve" world to a demand for instant problem-solving. Very soon, traditional marketing funnels will be entirely replaced by AI agents talking to other AI agents to make purchasing decisions. This means buyers will arrive at the checkout highly educated and self-directed, completely bypassing the massive sales teams companies rely on today. Businesses that cannot provide immediate, accurate answers will simply lose to smaller, faster competitors who can. To survive this massive shift, organizations must stop dragging their feet and start building what is known as a centralized company brain. This requires digging into messy, unstructured data and digitizing every piece of business information so an AI can actually access and understand it. The runway to adapt is much shorter than previous digital revolutions, meaning the window to act is closing right now. Leaders who prioritize cleaning up their data today will position their companies to dominate in a world where speed and instant answers win. About the Guest Len Ward is the founder and CEO of Commexis, an AI consulting and product development firm focused on helping businesses eliminate bottlenecks and scale through automation. He began his career as a stockbroker at Morgan Stanley and later became VP of Institutional Equity Sales and Trading at Credit Suisse, where he developed a strong ability to anticipate market trends. He brought that forward-looking mindset to Commexis, guiding its evolution from print to digital, social, and now AI-driven solutions. Today, Len works with B2B service companies to design and implement AI systems across marketing, sales, and customer service, with an emphasis on practical, results-driven solutions. Outside of work, he is active in the numismatic community and supports the cystic fibrosis community, a cause that is personal to him. Website: ⁠https://commexis.com/⁠ LinkedIn: ⁠https://www.linkedin.com/in/lenward/⁠ Timestamps: 00:01:15 - Episode Commences 00:03:16 - AI Journey in Digital Agency 00:05:54 - AI Transition Without Job Losses 00:10:00 - AI Implementation Business Transformation 00:13:28 - AI Adoption Timeline Urgency 00:15:43 - AI-Driven Entrepreneurship Future 00:19:06 - AI Agents Impact on Sales 00:22:32 - AI's Impact on Sales Transformation 00:26:41 - AI and Data-Driven Marketing Evolution 00:49:09 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠https://futuretechandforesight.com/⁠⁠ Or connect with me on –Twitter: ⁠⁠https://twitter.com/FutureTech_Pod⁠⁠ Linkedin: ⁠https://www.linkedin.com/company/futuretechandforesight/

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  Episode #242

  Turning Messy Data Into AI Gold (With Ilan Man of Paradox Machines.) - Ep #242

  Aug 11, 202649 min

  Marc and Ilan explore how the rise of AI is finally unlocking the true value of business data, breaking down why mid-market companies are perfectly positioned to outmaneuver larger enterprises through agile pilot projects and smart data governance. About the Episode The era of big data left many companies with expensive infrastructure and little return on investment, but artificial intelligence is changing the equation entirely. Today, unstructured documents can be instantly transformed into actionable insights, and chatting directly with consolidated business systems is becoming an accessible standard. For mid-market companies, the barriers to entry have fallen drastically. By prioritizing agile pilot projects over massive, rigid structural overhauls, businesses can now rapidly implement AI solutions to automate tedious workflows, accelerate development cycles, and unlock a 360-degree view of their operations without breaking the bank. However, successful integration goes far beyond simply buying the latest software, it requires a fundamental commitment to data governance and accountability. Understanding what data exists, who owns it, and how it is organized is the critical first step before any meaningful automation can occur. As the workforce evolves alongside these powerful tools, leaders must look past the hype and fear to make informed, strategic decisions. By establishing a solid data foundation today, companies can ensure they are not just reacting to technological trends, but actively architecting their competitive future. About the Guest Ilan Man, Founder and CEO of Paradox Machines, started his career in statistics and actuarial work before diving into the world of AI. Today, he watches companies rush to adopt artificial intelligence, only to hit a wall when their ambitions outpace their actual execution. He points out a simple but hard truth: most businesses aren't struggling with an AI problem, they are dealing with a massive data problem. To fix this, he helps mid-market organizations clean up their messy infrastructure so they can build a genuine competitive advantage. Because he actively builds these modern data solutions, Ilan knows exactly why some AI projects succeed while others completely flop. He pushes leaders to stop chasing the latest automation hype and instead focus on setting up rock-solid data platforms for the long haul. It's about building the right foundation today so companies aren't caught off guard tomorrow. Through his work at Paradox Machines, Ilan continues to show executives how to actively prepare for the next decade of technology instead of just reacting to it. Linkedin: https://www.linkedin.com/in/ilanman/ Website: https://www.paradoxmachines.com/ Additional Notes: For more check out the website: ⁠⁠ https://futuretechandforesight.com/ ⁠⁠ Or connect with me on – Twitter: ⁠⁠ https://twitter.com/FutureTech_Pod ⁠⁠ Linkedin: ⁠⁠ https://www.linkedin.com/company/futuretechandforesight/

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  Episode #241

  Securing AI in the Enterprise (With Mazy Dar of Here.io) - Ep #241

  Aug 3, 202656 min

  Marc and Mazy explore the hidden dangers of "shadow AI" in regulated environments and how a dedicated enterprise AI browser can solve the massive productivity drain of app fragmentation. About the Episode As organizations rush to adopt artificial intelligence, a critical bottleneck has emerged: the very tools we use to access the internet were never designed for mission-critical AI applications. While large enterprises are actively rolling out solutions like Microsoft Copilot, many are encountering significant challenges with security, compliance, and widespread "shadow AI," where employees bypass authorized systems to use consumer-grade tools. This disjointed approach is not only creating massive data leak vulnerabilities but also contributing to severe productivity losses through extreme tab overload and app fragmentation, with users switching between hundreds of tabs daily. The solution lies in reimagining the enterprise workspace itself. By transitioning to a dedicated AI browser, organizations can bring authorized artificial intelligence directly into a unified environment. This allows the AI to securely see user context and take appropriate actions across multiple applications without violating compliance protocols or getting locked into a single vendor ecosystem. The conversation dives deep into the realities of implementing these powerful technologies in highly regulated industries like finance and national security. Listeners will gain crucial insights into how rethinking the primary control plane for work will seamlessly integrate AI into existing workflows, ultimately bridging the gap between current ROI disappointments and the true potential of automated enterprise productivity. About the Guest Mazy Dar is the CEO of HERE.io and a technology veteran whose experience dates back to the dot-com boom, where he first recognized the limitations of standard web browsers for mission-critical applications. He is currently focused on building an enterprise AI browser specifically designed to address the complex challenges of AI integration in highly regulated environments. Through his work, Mazy continues to explore how rethinking the web browser can safely and effectively bring AI into the modern enterprise without compromising compliance. Linkedin: https://www.linkedin.com/in/mazydar/ Website: https://www.here.io/ Timestamps: 00:01:13 - Episode Commences 00:03:24 - Tech Evolution and AI Challenges 00:06:32 - Current AI Implementation Challenges 00:10:34 - AI ROI Challenges Discussion 00:15:18 - AI Productivity in Engineering Teams 00:20:55 - AI Human Collaboration in Enterprise 00:25:26 - Enterprise AI Browser Development 00:28:51 - Enterprise Browser Productivity Challenges 00:34:04 - AI Integration in Workplace Productivity 00:49:48 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠ https://futuretechandforesight.com/ ⁠⁠ Or connect with me on – Twitter: ⁠⁠ https://twitter.com/FutureTech_Pod ⁠⁠ Linkedin: ⁠⁠ https://www.linkedin.com/company/futuretechandforesight/

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  Episode #240

  The Open-Source AI Revolution (With Eugene Cheah of Featherless AI) - Ep #240

  Jul 28, 202652 min

  Marc and Eugene explore how the rapid evolution of open-source AI models is creating highly specialized, cost-effective alternatives to closed-source systems for enterprise businesses. About the Episode As artificial intelligence integrates deeper into the enterprise ecosystem, a massive shift is occurring away from centralized, closed-source models toward accessible open-source alternatives. While proprietary systems have historically dominated the market, the performance gap is shrinking rapidly. Open-source solutions now offer drop-in replacements that are up to five times more cost-effective, allowing businesses to run highly specialized AI without relying on massive, expensive infrastructure. This transition is crucial because it fundamentally changes how organizations deploy AI. Instead of relying on a single, generalized model with built-in biases, businesses can now leverage platforms hosting tens of thousands of unique models, essentially acting as an operating system for AI workloads. From language-specific adaptations for global markets to hyper-specialized models for robotics, coding, and construction safety, these accessible tools eliminate the need for extensive developer expertise or complex GPU clusters. The conversation unpacks the strategic advantages of moving from expensive, generalized AI to affordable, tailored models. Listeners will discover how to leverage these decentralized tools to enhance productivity, maintain data control, and build custom solutions that will drive competitive advantage in the rapidly evolving digital landscape. About the Guest Eugene Cheah is the CEO of Featherless AI, a company operating the world's largest AI model platform, currently hosting over 30,000 models with plans to scale into the millions. His journey into artificial intelligence began unexpectedly through a university hackathon project called GPU.js, which inadvertently became the backbone for running AI in web browsers for nearly six years. Today, his work focuses on simplifying AI deployment by offering serverless inference services that remove the complex technical barriers of running advanced models. Linkedin: https://www.linkedin.com/in/eugene-cheah-a47791126/ Website: https://featherless.ai/ Timestamps: 00:01:03 - Episode Commences 00:03:07 - Eugene's AI Journey and Models 00:08:45 - Open-Source AI Models Discussion 00:18:29 - AI Model Deployment Trends 00:24:22 - Federalist AI Platform Expansion 00:26:46 - Efficient AI Model Fine-Tuning 00:30:15 - AI Model Customization Timeline 00:34:08 - Commercial vs Open-Source API Prices 00:36:34 - Open Source AI Model Adaptations 00:49:48 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠ https://futuretechandforesight.com/ ⁠⁠ Or connect with me on – Twitter: ⁠⁠ https://twitter.com/FutureTech_Pod ⁠⁠ Linkedin: ⁠⁠ https://www.linkedin.com/company/futuretechandforesight/

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  Episode #239

  The AI Factory Revolution (With Renan Devillieres of OSS Ventures) - Ep 239

  Jul 20, 202640 min

  Marc and Renan explore how AI and software are completely rewiring global manufacturing, replacing outdated processes with automated systems that radically increase factory efficiency and profitability. About the Episode For the last two decades, global manufacturing relied heavily on offshoring and manual labor to cut costs, but a new era of industrialization is taking over. Today, the most successful facilities are treating physical products like technology products. Instead of hiring more floor workers, cutting-edge factories are leveraging sensors, intelligent software, and artificial intelligence to monitor operations in real-time, bringing unprecedented efficiency and massive profit margins to a traditionally slow-moving sector. As geopolitical tensions and supply chain disruptions force a massive wave of reshoring, the race to build smarter, sovereign manufacturing capabilities is accelerating. Currently, only a small fraction of factories utilize AI to achieve industry-leading margins, but that number is expected to explode over the next decade. From generative design that optimizes material cutting to venture-backed platforms streamlining product development, automation is transforming everything from the factory floor to back-office planning.Looking forward, this software-first approach to industrialization isn't just about building faster—it's about fundamentally reshaping global economies and preparing for the next frontier. As factories become highly connected tech ecosystems, navigating cybersecurity risks and hybrid engineering will be essential. Ultimately, the transition to intelligent manufacturing lays the groundwork for sci-fi-level innovations, opening the door for future endeavors like space manufacturing and asteroid mining. About the Guest Renan Devillieres is a former mathematics and computer science PhD student turned industrial innovator, operator, and investor. After starting his career at McKinsey & Company and gaining hands-on experience in complex factory operations, he recognized a massive gap between legacy manufacturing and modern software capabilities. Today, he is the Founder and CEO of OSS Ventures, a specialized venture builder that launches and scales tech companies designed to automate and optimize factory operations worldwide. His portfolio of startups currently serves thousands of factories, driving a new standard for industrial efficiency. Through his work, Renan continues to accelerate the adoption of artificial intelligence in manufacturing, helping legacy industries evolve into highly profitable, software-driven powerhouses. Linkedin: https://www.linkedin.com/in/renan-devillieres/ Website: https://www.oss.ventures/ Timestamps: 00:00:55 - Episode Commences 00:03:02 - Manufacturing Evolution and Reshoring Trends 00:08:30 - Manufacturing Evolution and Technology Integration 00:12:41 - Software-Enabled Manufacturing Processes 00:15:27 - Hybrid Engineering Skills in Manufacturing 00:18:22 - Manufacturing Venture Building Business Model 00:22:15 - Manufacturing Automation Process Streamlining 00:24:39 - AI-Driven Manufacturing Design Recommendations 00:26:30 - AI Adoption in Manufacturing 00:30:29 - Global Manufacturing Transformation Opportunities 00:33:20 - Space Manufacturing and Technology Trends 00:35:07 - Asteroid Mining Future Discussion 00:38:21 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠ https://futuretechandforesight.com/ ⁠⁠ Or connect with me on – Twitter: ⁠⁠ https://twitter.com/FutureTech_Pod ⁠⁠ Linkedin: ⁠⁠ https://www.linkedin.com/company/futuretechandforesight/

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