IoT Leaders

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 Hosted on Acast. See acast.com/privacy for more information.

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 Hosted on Acast. See acast.com/privacy for more information.

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 Hosted on Acast. See acast.com/privacy for more information.

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 Hosted on Acast. See acast.com/privacy for more information.

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 Hosted on Acast. See acast.com/privacy for more information.