IoT & AI Leaders

Nick Earle, Executive Chairman, Eseye

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.

  1. 5d ago

    How AI is Teaching Cities to See

    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 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

  2. Jul 29

    Beyond the Blue Dot: How AI Gives Location Data Meaning

    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 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

  3. Jun 24

    How Enterprises Lose Control as AI Scales

    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 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

  4. May 20

    Security in the Age of AI Agents

    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 organisations Tune 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

  5. Apr 22

    Artificial Humans Are Already Here

    Artificial humans are already here. And most organizations are not prepared for what that means. As AI becomes embedded across enterprise systems, the real shift is not just smarter software. It is the emergence of autonomous digital actors working alongside humans, powered by real-time streams of data from connected devices. HiveMQ CEO and Chairman Barry Libert joins the podcast to explore what happens when IoT data streaming meets AI at scale, including: • Why artificial humans are already working alongside real humans • How data streaming becomes the foundation for AIoT systems • Why IoT and AI are no longer separate technologies • How ontologies and real-time operational intelligence reshape enterprise software • Why the next wave of productivity will come from autonomous machines and devices Tune in to hear why the convergence of AI, IoT, and data streaming will redefine how companies operate. Key Topics & Chapters (01:49) Barry Libert introduction (03:46) Why the podcast pivoted (04:30) AI needs IoT data (05:24) Why HiveMQ matters (06:08) Data streaming between devices (07:20) Humans are already devices (08:24) Blurring human device boundaries (10:10) Data streaming changes business (12:04) Data streaming drives AIoT (13:08) Enterprise brain and dashboards (15:23) Machines act autonomously (16:40) HiveMQ builds operational ontology (17:36) Claude Code inside HiveMQ (18:47) Enterprise software faces disruption (20:27) AI deprecates SaaS models (22:28) SaaS versus AI battleground (23:01) Ariba and SaaS lessons (25:04) What happens to humans (26:47) Why Barry remains optimistic (27:27) Framing beats answering (29:10) Artificial humans are here (30:12) Another species enters work (31:11) The jobs gap problem (32:00) National winners and losers (34:16) From outsourcing to AI sourcing (35:42) Speed creates transition pain (36:00) Customers now want ontology (37:44) Healthcare process intelligence example (40:42) Every company needs streaming (41:42) Ontology leads to automation (42:29) Closing reflections on HiveMQ

  6. Mar 18

    Why AI Must Move to the Edge

    AI is getting smarter but it’s still thinking in the wrong place. Currently too much intelligence sits in the cloud, leaving devices dependent, fragile, and slower than the real world can tolerate. If IoT is going to feed the next wave of AI, the model has to flip. Intelligence needs to move into the device, with the cloud supporting updates and orchestration, not doing all the thinking. David Linthicum joins the podcast for one of our deepest conversations yet, exploring what it takes to rebuild AI for the edge, including: • Why today’s “agents” are not truly autonomous • The case for a client-server style architecture for AI • How small, purpose-built models can live inside constrained IoT devices • Why 5G will not solve latency, reliability, or physics • Why device manufacturers will set the standard, not the cloud giants Tune in to hear why edge intelligence is the reset AI and IoT both need. Key Topics & Chapters (01:58) David Linthicum background (04:02) AI and IoT convergence (07:00) Why AI isn’t at edge (08:03) Problems with cloud dependency (09:02) Small vs large models (11:30) Client server architecture analogy (14:02) Flaws in IoT architecture (18:05) Inefficiency of cloud AI (20:02) Why edge AI matters (22:03) What drives the shift (24:02) Rise of autonomous devices (26:03) Why 5G isn’t enough (28:32) Importance of system decoupling (32:02) Who will drive innovation (35:02) How standards will emerge (36:25) AI impact on jobs (38:32) Limits of AI replacement (40:02) Short versus long term jobs (42:02) Outlook on future work

  7. Feb 18

    Can AI Fix IoT Adoption?

    IoT promised to transform the physical world. Ten years on, adoption still lags behind expectation. Despite proven technology and successful pilots, most IoT projects never make it to scale, and the reasons are not what many expect. IoT product expert and author Afzal Mangal joins the podcast to challenge how the industry thinks about IoT adoption, and to explore whether AI could finally unlock its potential, including: • Why the device remains the biggest single point of failure in IoT projects • How firmware, not connectivity, determines long-term success • The awareness and cultural gaps still blocking enterprise IoT adoption • Why AI has reached the mainstream while IoT remains invisible • Whether an AI-first approach could finally make IoT stick Tune in to hear why rethinking IoT through an AI lens may be the reset the industry needs. Key Topics & Chapters (04:01) Cisco roots and telco beginnings (06:17) Launching narrowband IoT networks (07:16) Early global IoT developer demand (08:34) B2B onboarding breaks IoT scale (10:14) Pilots succeed, organizations resist (11:05) Education missing from IoT adoption (13:29) IoT innovation demands device failure (14:37) Hardware failure destroys time and capital (15:35) Device failure breaks entire IoT stack (16:19) Firmware audits before global connectivity (17:17) Firmware governs SIM and modem behavior (18:10) Awareness blocks enterprise IoT progress (21:37) Proven IoT solutions remain unknown (24:18) AI awareness versus IoT invisibility (26:01) AI prepares workers, IoT surprises them (27:44) Fifty billion things prediction missed (28:43) AI has consumed everything apart from IoT data (29:56) Sound sensors gain meaning with AI (31:40) Can IoT companies afford AI (32:38) AI-first healthcare transformation model (33:31) Smart hospitals track patients, staff, and assets (34:24) AI exposes hospital process delays (35:37) Do AI builders understand IoT (37:24) Can AI simplify IoT integration? (39:12) Humans still define data connections (40:19) LLMs ignore IoT use cases (41:03) AI quality depends on device data (42:27) Selling IoT through AI consultants Show Links • Follow Afzal Mangal on LinkedIn • Follow Nick Earle on LinkedIn • Visit our website

  8. Jan 21

    Building the Enterprise Brain with AI, IoT, and Private Data

    AI is moving fast. And most enterprises are not ready for what comes next. As organizations rush to deploy AI, the real constraint is no longer algorithms or compute. It is whether they have the right data, architecture, and operating model to turn intelligence into outcomes. IDC Research Director Rob Tiffany joins the podcast to explain why private IoT data is becoming the foundation of enterprise AI: Why IoT data gives AI real-world context that scraped content never canThe rise of private AI and IDC’s concept of the enterprise brainWhy most enterprise data remains on-prem and what that means for AI infrastructureHow IoT data feeds AI factories, vector databases, and real-time decision systemsWhy IoT leaders now sit at the center of AI-driven competitive advantage Tune in to hear how IoT data unlocks enterprise intelligence and reshapes the future of AI. Key Topics and Chapters  (01:25) —IoT and AI Leaders Podcast rebrand (03:48) — Rob Tiffany introduction (04:16) — Navy submarines and special operations experience (06:38) — IDC analyst role covering cloud (08:03) — First IoT exposure via submarine sensors (08:54) — Early IoT vending machines in 1994 (09:32) — Microsoft era and smartphone revolution (10:21) — Building Azure Cloud and Azure IoT (10:27) — Industrial digital twins at Hitachi (12:32) — Why AI concentrates in hyperscale clouds (13:48) — ChatGPT’s unexpected industry impact (14:14) — Elon Musk rapidly launches xAI (16:25) — Edge computing promise remains unmet (17:32) — Enterprise brain concept explained (19:04) — Most IoT happens indoors (21:18) — AGVs reveal need for indoor cellular (23:39) — Rise of enterprise hybrid AI data centers (24:27) — Samsung data leak into ChatGPT (25:22) — Growing interest in private enterprise AI (27:14) — Fine-tuning AI with company data (28:27) — Building the enterprise brain (29:23) — Hybrid AI and competitive advantage recap (35:28) — Enterprises downloading pretrained LLMs (37:14) — Jensen Huang’s AI factory vision (38:08) — Small language models for domains (41:39) — ServiceNow and agent-driven automation (44:27) — Will agents replace applications? (47:12) — Graduate unemployment and future of work (53:58) — AI disruption moves exponentially (57:51) — AI gives IoT professionals new relevance (58:16) — IoT data powers AI vector databases Show Links Follow Rob Tiffany from IDC on LinkedInFollow Nick Earle on LinkedInFollow Eseye on LinkedIn

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4.8
out of 5
19 Ratings

About

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.

Information

  • Creator
    Nick Earle, Executive Chairman, Eseye
  • Years Active
    2021 - 2026
  • Episodes
    70
  • Rating
    Clean
  • Copyright
    © All rights reserved.
  • Show Website
    IoT & AI Leaders

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