IoT Leaders

Enterprises hold growing volumes of connected-device data, yet many are still stuck in early experimentation. The gap isn’t the technology, it’s the readiness of the workflows, processes, and skills that determine whether AI can turn IoT data into meaningful outcomes.This episode explores:Why shadow AI is creating unseen riskHow internal processes block AI-led progressWhat teams need before scaling automationWhere IoT data adds unique value to AI modelsHow leaders can move from experiments to resultsTune in to hear from Nassia Skoulikariti at Apiro Data about the shift from selling raw data to delivering actionable insights and outcomes.Key Topics and Chapters (01:40) — IoT-AI impact, org mistakes, 3-stage implementation framework (04:50) — Sentient IoT, 80% AI training data from content (05:51) — IoT data is real-time AI gold mine (07:01) — IoT-AI enables execution intelligence and coordinated action (07:27) — Apiro Data evolution to execution intelligence pillars (08:41) — Core pillar: prepare internal ops for AI (10:12) — IoT gives data, AI gives speed, execution layer avoids failed pilots (11:05) — 70% test AI in one department only (12:54) — Shadow AI and ungoverned internal AI experiments (14:27) — Individual AI creates silos, not org strategy (15:11) — Parallels to early ungoverned internet experiments (16:10) — Mass AI pilots need policy and governance guardrails (16:46) — Data leak risks and Big Tech policy shifts (18:02) — Innovation vs guardrails balance (19:15) — Three Ds framework: Discovery phase (19:53) — Design phase, prioritize AI workflow impact (21:41) — Internal AI boosts efficiency, protects margins (22:01) — AI differentiates IoT products (23:20) — Amazon and Volvo AI-driven IoT examples (25:47) — Predictive maintenance now conversational and autonomous (26:57) — AI agent autonomy fears and governance risks (27:29) — Human checkpoints required in AI workflows (28:38) — AI augments humans, frees time for strategy (29:28) — IoT firm shift to intelligence services example (30:23) — AI and youth experience gap (35:10) — Practice turns AI knowledge into execution (37:00) — Commodity to outcome-based pricing via AI (38:03) — Outcome pricing precedent example (38:42) — Risks and pricing challenges with outcomes (40:07) — Why buy AI intelligence vs build? (43:06) — IoT roles will evolve to super agents (44:34) — IoT pros will orchestrate AI minions (45:37) — IoT data pricing model is unsustainable (47:40) — Final sign off: podcast evolution to IoT & AI Leaders in 2026Show LinksRead Eseye's 2026 IoT Predictions Report Follow Nassia Skoulikariti from Apiro Data on LinkedInFollow Nick Earle on LinkedInFollow Eseye on LinkedIn

The promise of AI starts with the data beneath your feet.In this episode, we explore how connected load cells, long viewed as routine industrial tools, are becoming strategic assets. Jorge Truffin, CEO at Unified Cloud Sensors, is using real-time IoT data to power predictive maintenance, automate diagnostics, and even influence market decisions.This evolution unlocks new possibilities across industries like agriculture, logistics, and construction, including:Transforming sensor data into pre-emptive maintenance alertsReducing downtime through AI-driven diagnosticsDetecting material loss in silos and supply chainsTracking asset movement to optimize operationsLinking sensor output to commodity market insightsTune in to discover how rethinking industrial IoT inputs can reshape outcomes—and build smarter, more resilient business models.Key Topics and Chapters(00:07) Intro to IoT Leaders and transformation stories(00:22) Jorge Truffin’s journey in the global load cell market(01:32) Shift from reactive to AI-powered proactive services(02:42) Traditional IoT companies embracing AI for problems(03:45) What load cells do and how they measure(04:00) Jorge’s 30+ years in weighing industry(05:13) Industrial weighing from 1 kilogram to 600 tons(06:38) Historical weighing data previously lost and underused(07:21) Use case: historical data enables early detection(08:42) Data benefits providers and owners tracking silo flow(09:27) Truck scales with many load cells complicate diagnosis(10:29) Continuous monitoring detects gradual load cell issues(11:35) Traditional reactive maintenance waits for failures(14:58) Monitoring weight, angle, temperature for diagnostics(16:03) Digitizing analog load cells for monitoring(17:04) Why cellular chosen over client networks(18:04) Global connectivity enables expansion with single SKU(19:22) Single SIM solution supports global regulatory needs(20:32) Use case: grain silo environmental and flow monitoring(21:29) Monitoring deters theft and non-technical losses(23:43) Detecting stuck material via center-of-gravity changes(25:45) Center-of-gravity reveals distribution issues remotely(28:12) AI agent giving traffic-light status for scales(30:23) Growth to managed services with multiple agents(31:10) Correlating sensors to reveal hidden patterns(32:14) Detecting structural silo issues via PM10 correlation(33:42) AI agents replace scarce decades-deep expertise(34:49) Start monitoring now to build AI training data(35:46) IoT data from things now essential for AI(36:44) Volvo example: connecting millions to prevent stoppages(37:59) Financial intelligence linking weights and futures prices(38:58) Clients track asset value using weights plus markets(40:47) Construction client uses market rates for pricing(41:38) Hospital case: multi-source IoT enables new services(42:31) Journey from weighing to financial advisory via AI(44:02) Customer-driven innovation using existing data insights(45:16) AI aids talent gap in traditional industries(46:06) Agents train next-generation employees with knowledgeShow Links· Follow Jorge Truffin at UCS on LinkedIn· Follow Nick Earle on LinkedIn· Follow Eseye on LinkedIn

Smart cities are making headlines—but what’s driving real ROI behind the scenes?In this episode, we explore how consultative IoT strategies, not just new tech, are reshaping urban infrastructure and logistics. The conversation centers on smart labels, AI, and sensor-driven solutions that turn everyday operations into measurable value.You’ll hear how municipalities and enterprises are rethinking connectivity by starting with ROI—not infrastructure. Key takeaways include:Why the one-euro price point is pivotal for active smart labelsHow smart parking systems recover costs in under a monthThe hidden cost drivers IoT can eliminateWhy AI models are only as good as the IoT data they feed onWhat consultative selling unlocks that tech-first approaches missTune in for a grounded take on what makes IoT work at scale.Show Links· Follow Silviu Neghina at VizioSense on LinkedIn· Follow Nick Earle on LinkedIn· Follow Eseye on LinkedIn

Hospitals don’t run on hope—they run on data.Today’s healthcare systems are under pressure to do more with less. From equipment shortages to long wait times, inefficiencies are everywhere. But what if AI agents could fix them in real time?In this episode, we explore how a new class of IoT-driven intelligence is transforming hospital operations from the inside out. You’ll hear how real-time data and agentic AI are reshaping healthcare by:Turning physical spaces into connected, trackable ecosystemsAutomating maintenance, cleaning, and resource allocationReducing wait times through dynamic workflow updatesEnhancing patient safety with predictive monitoringEnabling cross-hospital benchmarking with live KPIsTune in to see what happens when hospitals start operating like production lines—with smarter outcomes.Show Links· Follow Dr. Burak Bardak at Borda Technology on LinkedIn· Follow Nick Earle on LinkedIn· Follow Eseye on LinkedIn

The kitchen is the home's heart—but also its greatest fire risk.In this IoT Leaders episode, Nick Earle explores how technology can make cooking safer without changing how people cook. Unattended stoves remain the top cause of house fires, but smart retrofits and better standards promise a shift from reactive to proactive safety.Akshita Iyer explains how smarter knobs, automation, and data-driven monitoring can reduce risk, while US industry standards like UL push manufacturers toward built-in solutions. They also discuss the role of AI and device integration in the connected home.In this episode, you'll learn:Why unattended cooking is the top fire riskRetrofitting existing appliances for smart safetyHow UL standards can drive industry changeUsing data and AI to spot risky patternsBuilding seamless connections with the Matter protocolTune in to hear how safety is becoming standard in the smart home.Show Links· Follow Akshita Iyer on LinkedIn· Follow Nick Earle on LinkedIn· Follow Eseye on LinkedIn

The next wave of IoT connectivity is here. Enter eSIM orchestration.In this episode, Eseye Executive Chairman Nick Earle is joined for a third time by Matt Hatton, Founding Partner and Analyst of Transforma Insights, to explore the market forces driving this shift.The rise of eSIM technology specifications like SGP.32 offers more flexibility, but it also brings greater fragmentation. Enterprises now face a tangled web of regulations, latency constraints, and diverging network standards across the globe.That's where eSIM orchestration comes in. Matt explains why a new orchestration layer is emerging—not just to simplify profile management, but to unify billing, compliance, and connectivity in a single managed service. Without it, global IoT remains a patchwork of complexity and compromise.In this episode, you'll learn:- What's driving the shift from roaming to eSIM orchestration- Why eSIM orchestration fills the gap between flexibility and reality- What it takes to deliver true global IoT at scaleWhether you're in telecoms, product development, or enterprise IoT strategy, this episode offers a clear view into what's changing, why it matters, and how orchestration might be the missing piece. Show Links· Read the whitepaper discussed in this episode: eSIM Orchestration: Driving the Next Wave of IoT Connectivity· Follow Matt Hatton on LinkedIn· Follow Nick Earle on LinkedIn· Follow Eseye on LinkedIn

Most industrial IoT deployments struggle with the same challenge: dozens of pilot projects that never reach production scale.Volvo Group broke this cycle with a strategic transformation connecting hundreds of millions of assets across 140 factories worldwide. The secret wasn't just technology — it was organizational change that unified scattered efforts into production-scale success.Volvo Group IoT Expert Julien Bertolini joins the podcast to share insights from one of the world's largest industrial IoT deployments, including:How to escape pilot purgatory and scale from prototypes to productionWhy multi-technology approaches are essential for industrial environmentsBuilding IoT communities and citizen development strategiesReal-world use cases from AGV predictive maintenance to massive asset trackingWhy quality IoT data is the foundation that makes AI actually workThe convergence of IoT and AI for competitive advantageTune in to hear how strategic IoT transformation unlocks AI potential at an industrial scale.Show Links· Follow Julien Bertolini on LinkedIn· Follow Nick Earle on LinkedIn· Follow Eseye on LinkedIn

When transporting refrigerated goods across South America, it is essential to have a reliable cold chain management solution.In Brazil, where 30% of transported cargo requires precise temperature control, a single point of failure can result in losses worth millions.Neokohm CTO Luis Lorenzi joins this Portuguese podcast special to explain how his company revolutionized cold chain monitoring with IoT technology, including:How they automated temperature control to eliminate driver responsibilityWhy multi-carrier connectivity proved crucial for cross-border operationsHow their system monitors refrigeration units across Brazil's challenging terrainWhat the future holds for cold chain monitoring with AI integrationTune in to discover how Neokohm and Eseye partnered to create seamless connectivity solutions that work across nine South American countries—even in remote regions where trucks transfer cargo to river barges—without changing SIM cards.Show Links· Watch the podcast for English subtitles on YouTube· Follow Luis Lorenzi on LinkedIn· Follow Nick Earle on LinkedIn· Follow Eseye on LinkedIn