We talk IoT – The Internet of Things Business Podcast

AI data centres have a problem that no one talks about enough. When GPUs synchronise and fire together, power demand spikes exponentially, in milliseconds. Legacy backup systems were never built for this. Oversizing the grid is expensive. Throttling GPU utilisation wastes the very infrastructure operators are paying for.

Ramesh Narasimhan, EVP, CCO and CFO at Nyobolt, explains how the Cambridge deep-tech startup evolved from a university materials lab into a full solutions provider. And how its Dynamic Response System addresses the power spike problem at the rack level, in real time.

Ramesh discusses Nyobolt's journey from a vacuum cleaner prototype to a partnership with Symbotic's warehouse robots, the case for ultra-fast charging over high energy density, and why the company's core lesson applies as much to startups as to battery chemistry: don't confuse your product with your purpose.

#battery #fastcharging #AIDataCentre #robotics #IoT #WeTalkIoT

 

Summary of this week's episode:

01:08 From automotive to deep-tech: Ramesh's background
02:00 Nyobolt's origin: Cambridge materials lab to commercial company
03:03 What forced the shift from materials to solutions provider
05:05 The secret sauce: what Nyobolt's battery does differently
06:47 Charging a car in under five minutes, and why range obsession misses the point
09:42 The AI data centre power problem explained
12:25 The Dynamic Response System vs. conventional UPS
13:55 Off-grid in Rajasthan: what the MoU actually means
14:50 Symbotic and the warehouse robot use case
16:02 Humanoids, trade-offs, and scaling the supply chain
17:55 Where Nyobolt focuses and why
19:05 Looking ahead: changing how industries think about operations
20:05 The talent ecosystem around Cambridge

 

Show notes:

Ramesh Narasimhan: https://www.linkedin.com/in/ramesh-narasimhan-201ab3a/

Nyobolt Dynamic Response System: https://nyobolt.com/ai-data-centre-power-solutions/

 

Listen to the "We Talk IoT" Soundtrack on:

Spotify: https://open.spotify.com/playlist/05MOV4OV2MH2in2txsAGtG?si=ad08112cb8d443f4

YouTube: https://www.youtube.com/watch?v=D-NvQ6VJYtE&list=PLLqgVFfZhDRVYmpEqbgajzDvGL4kACRDp

 

About Avnet Silica:

This podcast is brought to you by Avnet Silica — the Engineers of Evolution.

Subscribe to our newsletters here: https://my.avnet.com/silica/resources/newsletter/

You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.

Smart farming has been a promise for decades. GPS guidance, variable-rate application, autonomous tractors, the technology has been on the horizon for so long that it is easy to miss how much of it has already arrived.

In this episode, Andreas Gatti, manager digital products & FendtOne at AGCO Fendt, takes us through what precision agriculture actually delivers today,  and where the hard problems still remain.

Andreas explains how the PTx Trimble joint venture, formed by AGCO and Trimble in 2024, is turning Fendt from a machine manufacturer into a full farm ecosystem provider. We discuss what it means to treat 25-centimetre sections of a field independently, why full autonomy is less about driving and more about work quality, and how smart machines are quietly eliminating hours of paperwork for farmers who never asked for a digital transformation.

We also ask the harder questions: who owns the data, whether the business case holds without subsidies, and which adoption barrier the industry consistently underestimates.

#smartfarming #precisionagriculture #agtech #IoT #WeTalkIoT

 

Summary of this week’s episode:

01:30 Andreas introduces himself and AGCO Fendt
03:45 What PTx Trimble changes for farmers
07:10 How Fendt defines smart farming — and what is already delivering results
11:20 Mixed fleets and interoperability in practice
14:30 The biggest benefit: driver, owner, or office?
16:00 Where farm autonomy stands today — and what is still in the way
22:10 Treating every 25 centimetres differently: precision application
27:00 Data ownership, security, and GDPR
31:30 Smart farming and climate change: mitigation or marketing?
35:00 Adoption barriers: cost, skills, connectivity — and the one nobody talks about
40:20 What Andreas is watching on the horizon

 

Show notes:

Andreas Gatti: https://www.linkedin.com/in/andreas-gatti-b09195104/

Smart farming: https://www.fendt.com/de/smart-farming

Smart agriculture: https://my.avnet.com/silica/solutions/markets/smart-city/smart-agriculture/

 

Listen to the “We Talk IoT” Soundtrack on:

Spotify: https://open.spotify.com/playlist/05MOV4OV2MH2in2txsAGtG?si=ad08112cb8d443f4

YouTube: https://www.youtube.com/watch?v=D-NvQ6VJYtE&list=PLLqgVFfZhDRVYmpEqbgajzDvGL4kACRDp

About Avnet Silica:

This podcast is brought to you by Avnet Silica - the Engineers of Evolution.

Subscribe to our newsletters here: https://my.avnet.com/silica/resources/newsletter/

You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.

Around 50% of medications are not taken on time. In ageing societies, the consequences range from hospital readmissions to preventable deaths. The costs run into millions of euros every year.

In this episode, Daniel Böber, hardware developer at wirewire, explains how his three-person team tackled this problem with the ANABOX smart. A connected pill dispenser that runs on NB-IoT, requires no Wi-Fi, and is already deployed in nursing homes across Europe. The patient never touches an app. The carer does.

Daniel discusses the deliberate design choice to keep the device analogue-looking and the digital layer invisible to the patient; the regulatory journey through EU MDR Class I certification and pharmacy approval; and what it takes to get a health insurer to add a hardware product to its catalogue. He also reflects honestly on what went wrong, including a full hardware redesign after elderly users couldn't open the compartments, and on wirewire's broader ambition to digitalise everyday objects unobtrusively.

#NB-IoT #SmartHealth #IoT #MedicationManagement #HealthTech #AgeTech #WeTalkIoT

Summary of this week's episode:
01:37 Wirewire and Mission

02:28 Why Doses Get Missed

03:52 Inside the Smart Pillbox

04:59 Why NB IoT Connectivity

06:30 Caregiver App Design

08:41 Patient Alerts and UX

10:31 Real World Rollout

14:16 Costs and Reimbursement

15:24 Break and Sponsor

15:50 Regulatory Approval Journey

17:06 Insurance Listing Explained

18:09 Scaling Across Europe

19:38 Analog Products Made Smart

21:06 Startup Lessons Learned

22:46 What’s Next and Partnerships

24:22 Hardware Advice and Support

 

Show Notes:

Daniel Böber (LinkedIn): https://www.linkedin.com/in/danielboe1/

ANABOX smart: https://anabox-smart.de/en

Anmed GmbH: https://anmed.de

Avnet Silica: NB-IoT — Flexibility is Key: https://my.avnet.com/silica/resources/article/nb-iot-flexibility-is-key/

 

Listen to the "We Talk IoT" Soundtrack on:

Spotify: https://open.spotify.com/playlist/05MOV4OV2MH2in2txsAGtG?si=ad08112cb8d443f4

YouTube: https://www.youtube.com/watch?v=D-NvQ6VJYtE&list=PLLqgVFfZhDRVYmpEqbgajzDvGL4kACRDp

 

About Avnet Silica:
This podcast is brought to you by Avnet Silica — the Engineers of Evolution.

Subscribe to our newsletters here: https://my.avnet.com/silica/resources/newsletter/

You can connect with us on LinkedIn:

https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.

Most people think they know Windows. Industrial OEMs know better.

In this episode, Yann Stridde, Senior Business Development Manager for Microsoft Windows IoT at Avnet Silica, explains why the operating system running a factory robot, a crane in Dubai, or a medical imaging device is fundamentally different from the one on your office PC – and why that difference matters more than ever.

Windows IoT Enterprise is not a new product. Its roots go back to Windows Embedded in the late nineties. But the stakes around it have never been higher. The EU Cyber Resilience Act is coming into force. Windows 10 IoT Enterprise has reached end of support. And industrial OEMs face a hard question: how do you manage a 10-year device lifecycle when AI is reshaping the landscape every 18 months?

Yann walks us through the certification chain behind a train brake system to show why changing an OS mid-lifecycle can literally stop a train at the station. He explains what Microsoft's 10-year Long-Term Servicing Channel actually guarantees – and where its limits lie. And he makes the case that for small OEMs who have to build their own security patches, peace of mind has a price worth paying.

We also explore LiRISE, the ARM-based edge AI solution from Liebherr-Components and Reycom, shown at Embedded World 2026. A real-world example of Windows IoT on ARM running in harsh environments without active cooling, and why power efficiency is now a competitive requirement, not a nice-to-have.

Tune in to find out what the industrial world demands from an operating system, and why the answer is not the Windows you know.

#windowsiot #embeddedsystems #cybersecurity #cyberresilienceact #iot #oem #arm #lirise #avnetsilica #wetalkiot

 

Summary of this week’s episode:

01:30 Yann's background: from Microsoft to Avnet Silica

03:00 Why IoT devices need their own version of Windows

06:30 Avnet Silica: advisory, licensing, and consulting for OEMs

08:30 Ten years of LTSC support: realistic in the AI era?

10:30 The train certification story: why OS stability is non-negotiable

15:00 Windows 10 IoT end of support: what OEMs must do now

17:30 Security and the EU Cyber Resilience Act

21:30 Choosing the right embedded OS: the key questions

23:30 LiRISE: Windows IoT on ARM at Embedded World 2026

26:30 ARM architecture, passive cooling, and the power efficiency argument

28:30 Use cases beyond industrial: kiosks, data centres, and more

 

Show notes:

Yann Stridde: https://www.linkedin.com/in/yannstridde/

Avnet Silica – Windows IoT Embedded Software: https://my.avnet.com/msembedded/embedded-software/overview

LiRISE® – Liebherr-Components and Reycom IoT solution: https://www.liebherr.com/en-us/components/solutions/iot-solutions/e2e-iot-edge-gateway-solution-6654887

 

Listen to the “We Talk IoT” Soundtrack on:

Spotify: https://open.spotify.com/playlist/05MOV4OV2MH2in2txsAGtG?si=ad08112cb8d443f4

YouTube: https://www.youtube.com/watch?v=D-NvQ6VJYtE&list=PLLqgVFfZhDRVYmpEqbgajzDvGL4kACRDp

 

About Avnet Silica:

This podcast is brought to you by Avnet Silica—the Engineers of Evolution.

Subscribe to our newsletters here: https://my.avnet.com/silica/resources/newsletter/

You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.

Edge AI promised intelligence everywhere. The reality? Most projects die between proof of concept and production. In this episode, Amir Sherman from DeepX and Michaël Uyttersprot from Avnet Silica reveal why moving AI from comfortable development kits to demanding industrial environments isn't just difficult. It's a maze of incompatible metrics, hidden power costs, and integration nightmares that catch companies off guard.

We discuss why TOPS ratings mislead engineers, how ChatGPT triggered a wave of failed internal deployments, and what it takes to run vision AI in factories, delivery robots, and smart cities where five-watt power budgets matter more than marketing specifications.

From Hyundai's factory robots to Baidu's Chinese character recognition systems, Amir and Michaël share real deployments that work, and explain the 50 years of embedded experience that AI code generators cannot replace. If you've wondered why edge AI keeps hitting walls nobody discusses in vendor presentations, this conversation delivers the answers.

#EdgeAI #DeepX #IndustrialIoT #VisionAI #NPU #WeTalkIoT

 

Summary of this week's episode:

01:45 Guest Introductions: Amir Sherman and Michaël Uyttersprot

03:29 The Edge AI Market Landscape: TinyML to High-End NPUs

06:47 Why Edge AI Projects Fail in Production

09:18 The TOPS Trap: Why Performance Metrics Mislead

11:50 Choosing Hardware: Why It's More Complex Than It Looks

16:28 Real Deployments: Delivery Robots and Chinese OCR

19:29 Vision AI in European Factories and AGVs

21:32 Generative AI at the Edge: 20 Billion Parameters in Five Watts

23:52 Smart Cities: Traffic Lights and Vision Language Models

27:22 What Engineers Need to Understand About Edge AI

30:48 Why 50 Years of Experience Still Matters

33:13 Bohemian Rhapsody and AI-Generated Llama Songs

 

Show notes:

Amir Sherman: https://www.linkedin.com/in/sherman-bizdev/

Michaël Uyttersprot: https://www.linkedin.com/in/micha%C3%ABl-uyttersprot-aaa971211/

 

DeepX: https://deepx.ai/

DeepX at Avnet Silica: https://my.avnet.com/silica/manufacturers/m/deepx/

 

Listen to the "We Talk IoT" Soundtrack on:

Spotify: https://open.spotify.com/playlist/05MOV4OV2MH2in2txsAGtG?si=ad08112cb8d443f4

YouTube: https://www.youtube.com/watch?v=D-NvQ6VJYtE&list=PLLqgVFfZhDRVYmpEqbgajzDvGL4kACRDp

 

About Avnet Silica:

This podcast is brought to you by Avnet Silica—the Engineers of Evolution. Subscribe to our newsletters here: https://my.avnet.com/silica/resources/newsletter/

You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/

Or find us at www.avnet-silica.com