IoT & AI Leaders

IoT & AI Leaders is a podcast from Eseye that educates, predicts, and challenges what IoT can become when AI moves to the centre. Since 2021, we’ve been sharing real-world IoT and AI stories, strategies, and trends from industry leaders. Hosted by renowned tech industry expert and market disruptor Nick Earle, our podcast boasts over 60 unmissable episodes featuring influential guests from leading brands including Microsoft, AT&T, Volvo, Amazon.Let IoT & AI Leaders be your go-to show for insights, predictions, and big ideas on how IoT is reshaping the world of AI.

IoT & AI Leaders is a technology podcast hosted by Nick Earle, Executive Chairman, Eseye, with 70 episodes on record and a Required Pod Score of 80.

Nick Earle, Executive Chairman, Eseye hosts IoT & AI Leaders, a technology show with 70 episodes published.

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  Episode #70

  How to Scale AI at the Edge

  Sep 29, 202650 min

  Deploying AI at the edge is no longer limited to organisations with vast engineering teams and multimillion-pound budgets. In this episode, Nick Earle speaks with Neil Cresswell, Co-founder and CEO of Portainer, about how containerisation is making it easier to distribute, update and govern software across fleets of connected devices.  Neil explains why containers are well suited to IoT environments, where devices may be numerous, geographically dispersed and intermittently connected. The conversation explores the technical realities of running applications and AI inference at the edge, the operational challenge of maintaining consistency at scale, and the value of solving one measurable problem before attempting a wholesale transformation.  From AI-enabled agriculture and production-line monitoring to the detection of unexploded ordnance in potato processing, the episode shows how edge intelligence can turn previously impractical ideas into deployable use cases.

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  Episode #69

  How AI is Teaching Cities to See

  Aug 25, 202644 min

  Artificial intelligence is rapidly changing what video surveillance can achieve. In this episode, Nick Earle welcomes back David Ly, Founder, Chairman and CEO of Iveda, to explore how AI-powered video intelligence has evolved from traditional object detection into real-time situational awareness. David explains how advances such as zero-shot learning, natural language search and vision-language models are dramatically reducing deployment time while enabling cities, retailers and public agencies to solve practical operational problems from e-bike enforcement and retail theft to wildfire detection, environmental monitoring and public safety. The discussion also explores why AI adoption remains more of a business education challenge than a technology challenge, and why future success will ultimately be measured by improvements in everyday human experiences rather than technical sophistication. Key Topics & Chapters 00:00 Introduction and episode overview 02:00 David Ly’s refugee journey and entrepreneurial story 06:00 The evolution of Iveda since the previous interview 08:00 Zero-shot AI and natural language computer vision 12:00 Smart city applications and e-bike enforcement 17:00 Retail theft detection and behavioural AI 20:00 Why AI adoption remains challenging 26:00 Selling business outcomes instead of technology 30:00 Fire detection and emergency response 34:00 Environmental monitoring and ocean protection 39:00 The future of AI and improving everyday life 44:00 Closing thoughts and where to learn more

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  Episode #68

  Beyond the Blue Dot: How AI Gives Location Data Meaning

  Jul 28, 202645 min

  Indoor location technology has traditionally been viewed as little more than asset tracking. But what happens when precise location data becomes contextual intelligence? In this episode, Nick Earle speaks with Samuel Van de Velde, Founder and CTO of Pozyx, about why the future of industrial AI starts with understanding not simply where people and assets are, but what their movements actually mean. From dairy farms and manufacturing plants to AI-generated factory applications, Samuel explains how location data evolves into semantic understanding, enabling automation, process optimisation, predictive operations, and eventually software that builds itself around users in real time. This conversation explores how IoT, AI, real-time location systems (RTLS), and enterprise software are converging to reshape industrial operations. Key Takeaways Accurate positioning is only valuable when transformed into operational context. Semantic understanding creates significantly greater business value than simple location tracking. AI performs best when IoT data is enriched with contextual meaning rather than raw telemetry. Manufacturing is emerging as one of the strongest convergence points for AI and IoT. Dynamic AI-generated enterprise applications could fundamentally reshape industrial software over the next decade. Key Topics & Chapters 00:00 Introduction: Why location is about much more than tracking 02:00 Samuel’s background and founding Pozyx 04:30 Ultra-Wideband versus Bluetooth positioning 07:00 Why precision creates entirely new business opportunities 09:00 Dairy farming, AI and behavioural analytics 15:00 From cows to healthcare and industrial applications 19:00 The evolution of Pozyx into industrial software 21:00 Manufacturing workflows and real-time operational visibility 27:00 IoT meets AI: building semantic context 33:30 The next generation of factory software 40:30 AI-generated enterprise applications 43:30 Closing thoughts

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  Episode #67

  How Enterprises Lose Control as AI Scales

  Jun 24, 202649 min

  AI adoption is accelerating faster than most organisations can control and the result is growing chaos. In this episode of  IoT and AI Leaders , Nick Earle is joined by  Santosh Kaveti , CEO of  ProArch , and  Jim Spignardo , Director of Cloud Strategy and AI Enablement, to explore why ‘AI-first’ thinking without foundational discipline is creating serious operational, security, and governance risks. Rather than chasing hype, ProArch argues for a foundation-first approach: slow down, define processes, establish governance, and build trust before embedding AI into workflows, especially as IoT expands the data surface dramatically. The conversation covers: Why cheap, accessible AI tools are amplifying organisational chaos How weak processes and governance cause most AI failures Why regulated industries are feeling the pressure first How IoT could increase enterprise data sources by 50x Why boards must take accountability for AI risk and reputation What ‘operationalising AI’ means beyond chatbots Why trust, auditability, and explainability matter more than intelligence Episode Highlights 00:02:15:  Introduction to ProArch 00:04:30:  Realising the potential of AI 00:06:45:  What are the 'unknown unknowns' of AI? 00:12:20:  The "Donald Rumsfeld era" of AI 00:18:00:  ERP/MRP analogy 00:22:15:  Balancing visibility and control with innovation 00:28:45:  The "trust layer" or "truth layer" 00:35:30:  Real-world power plant example 00:42:15:  Ontology mapping 00:48:30:  Three board-level risks identified 00:52:00:  Final takeaways

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  Episode #66

  Security in the Age of AI Agents

  May 20, 202643 minS0

  <p>As AI accelerates cyber-attacks and intelligence moves to the edge, security economics are being rewritten.</p><p><br></p><p>In this episode of IoT and AI Leaders, Nick Earle is joined by Jasson Casey, CEO and co‑founder of Beyond Identity, to explore what happens when AI, IoT, and autonomous agents collide and why identity has become the weakest link in modern systems.</p><p><br></p><p>The conversation goes beyond device security into the deeper problem of movable credentials, AI‑powered attackers, and agent-driven systems operating at machine speed. From hacked robotic vacuums to compromised payment termin...

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