IoT & AI Leaders

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 & Chapters00:00 Introduction and episode overview02:00 David Ly’s refugee journey and entrepreneurial story06:00 The evolution of Iveda since the previous interview08:00 Zero-shot AI and natural language computer vision12:00 Smart city applications and e-bike enforcement17:00 Retail theft detection and behavioural AI20:00 Why AI adoption remains challenging26:00 Selling business outcomes instead of technology30:00 Fire detection and emergency response34:00 Environmental monitoring and ocean protection39:00 The future of AI and improving everyday life44:00 Closing thoughts and where to learn more

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 TakeawaysAccurate 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 & Chapters00:00 Introduction: Why location is about much more than tracking02:00 Samuel’s background and founding Pozyx04:30 Ultra-Wideband versus Bluetooth positioning07:00 Why precision creates entirely new business opportunities09:00 Dairy farming, AI and behavioural analytics15:00 From cows to healthcare and industrial applications19:00 The evolution of Pozyx into industrial software21:00 Manufacturing workflows and real-time operational visibility27:00 IoT meets AI: building semantic context33:30 The next generation of factory software40:30 AI-generated enterprise applications43:30 Closing thoughts

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 chaosHow weak processes and governance cause most AI failuresWhy regulated industries are feeling the pressure firstHow IoT could increase enterprise data sources by 50xWhy boards must take accountability for AI risk and reputationWhat ‘operationalising AI’ means beyond chatbotsWhy trust, auditability, and explainability matter more than intelligenceEpisode Highlights00:02:15: Introduction to ProArch00:04:30: Realising the potential of AI00:06:45: 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 innovation00:28:45: The "trust layer" or "truth layer"00:35:30: Real-world power plant example00:42:15: Ontology mapping 00:48:30: Three board-level risks identified00:52:00: Final takeaways

As AI accelerates cyber-attacks and intelligence moves to the edge, security economics are being rewritten.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.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 terminals, Jasson explains why most cyber incidents still share the same root cause and how immovable, cryptographically bound credentials change the game.Key topics include:Why AI makes speed more dangerous than sophistication in cyber attacksHow 80%+ of breaches trace back to identity and access failuresWhat “immovable credentials” really mean (and why chip & PIN got it right)Real-world IoT security failures—and their systemic consequencesThe rise of autonomous AI agents and “shadow AI” inside organisationsTune in to hear the full conversation.Key Topics & Chapters(00:00) Introduction: AI, IoT and security (02:10) Jasson Casey (04:00) AI and the speed of cyber (07:45) Movable credentials and breach (11:20) Chip & PIN and immovable credentials(15:30) IoT device failures and real-world risks(21:10) Hacked vacuums and firmware trust(24:30) Autonomous agents and shadow AI(29:40) AI governance and data-flow control(33:50) Humans, verification, and future skills(38:10) Closing thoughts on security at machine speed