IoT Leaders

Nick Earle, Executive Chairman, Eseye

IoT Leaders is a podcast from Eseye that shares real IoT stories from the field about digital transformation swings and misses, lessons learned, and innovation strategies that work.In each episode, you’ll hear our conversations with top digitization leaders on how IoT is changing the world for the better. Let IoT Leaders be your guide to IoT, digital transformation, and innovation. Hosted on Acast. See acast.com/privacy for more information.

  1. 6D AGO

    The Hidden Dangers of Shadow AI

    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 results Tune 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 2026 Show Links Read Eseye's 2026 IoT Predictions Report Follow Nassia Skoulikariti from Apiro Data on LinkedInFollow Nick Earle on LinkedInFollow Eseye on LinkedIn Hosted on Acast. See acast.com/privacy for more information.

    49 min
  2. 12/01/2025

    From Sensors to Strategy: How AI Unlocks Industrial Insight

    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 insights Tune 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 knowledge Show 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.

    48 min
  3. 08/06/2025

    eSIM Orchestration: The Next Wave of IoT

    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 scale Whether 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.

    48 min
4.8
out of 5
19 Ratings

About

IoT Leaders is a podcast from Eseye that shares real IoT stories from the field about digital transformation swings and misses, lessons learned, and innovation strategies that work.In each episode, you’ll hear our conversations with top digitization leaders on how IoT is changing the world for the better. Let IoT Leaders be your guide to IoT, digital transformation, and innovation. Hosted on Acast. See acast.com/privacy for more information.

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