We talk IoT – The Internet of Things Business Podcast

The semiconductor industry has a pipeline problem. Women enter the field, but somewhere between mid-management and the executive level, they disappear. Emily Yang knows this from experience, and she’s doing something about it.
In an industry where innovation is currency, Emily Yang has built a career on the belief that the best way to succeed is to lift others up. As Senior Vice President of Worldwide Sales and Marketing at Diodes Incorporated, she's not only driven transformative growth, but also championed mentorship and community impact, embodying perfectly this year's International Women's Day theme: give to gain.
Emily discusses what effective leadership actually looks like across cultures. She explains how Diodes transformed from a discrete component supplier into a solutions-led organisation, why humanoid robotics is the emerging application she’s most excited about, and why geopolitical supply chain disruption is the challenge the industry isn’t talking about loudly enough. She also makes the case for mentorship as a structural fix, not a feel-good programme.
#IWD2026 #GiveToGain #Leadership #Semiconductors #STEM #Mentorship #WeTalkIoT
Summary of this week’s episode:
01:30 Emily’s career path: from customer service rep to SVP
04:30 How leadership style evolves when you’ve been on every rung
07:00 Transforming Diodes: from component sales to solution selling
09:30 Executive presence and communicating vision to a global team
11:30 Leadership philosophy: trust, advocacy, and the carrot approach
13:30 Diodes’ technology portfolio: MOSFETs, signal integrity, PCIe Gen 6
15:30 Humanoid robotics: the emerging application worth watching
18:00 Leading across cultures: what employee survey scores reveal
21:00 The Women in High Tech Mentoring Programme and why it works
24:00 On sponsors, self-doubt, and working your way up without a map
26:00 The geopolitical supply chain challenge no one discusses enough
27:30 Lessons learned: define your leadership style before someone else does
29:00 Work-life integration and closing advice to women in the industry
 
Show notes:
Emily Yang: https://www.linkedin.com/in/emily-yang-153a69/
You can get in touch with her: emily.yang@diodes.com
Global Semiconductor Alliance — Women’s Leadership Initiative: https://designthesolution.org/about-wli/
 
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.

Two billion people worldwide lack access to safe drinking water. Traditional pH monitoring relies on slow, manual lab testing – often too late to prevent contamination. In this episode, Fabrizio Librizzi, Senior Product Marketing Manager at NXP Semiconductors, explains how edge AI and analogue front-end technology are transforming water quality monitoring.
Fabrizio discusses how NXP’s AI-assisted pH sensors provide real-time, rugged, and reliable data at the source – eliminating cloud dependency and enabling equity for remote communities. We explore real-world applications in agriculture (protecting crops from pH damage), municipal water systems (transparency for citizens), and industrial processes (cost savings through precise chemical dosing).
Tune in to learn why edge AI is moving beyond vision and voice into environmental monitoring, and how this technology can genuinely improve lives.
 
#AI #EdgeAI #WaterQuality #IoT #NXP #WeTalkIoT #Sustainability
 
Summary of this week's episode:
01:30 The global water crisis and the limitations of traditional pH monitoring
03:45 How analogue front ends convert delicate sensor signals into robust digital data
06:20 Why edge AI is critical for remote areas with intermittent connectivity
08:10 Real-world use cases: Agriculture, municipal water, and industrial applications
10:30 The role of machine learning in spotting pollution patterns and anomalies
12:45 Technical challenges: Surge protection, probe maintenance, and multi-sensor integration
15:00 Advice for water authorities: Start small, validate data, and scale with connectivity
17:30 The future of AI in environmental monitoring—beyond pH levels
 
Show notes:
Fabrizio Librizzi: https://www.linkedin.com/in/fabrizio-librizzi/
Enhancing water quality with AI-assisted pH monitoring: https://www.nxp.com/company/about-nxp/smarter-world-blog/BL-MGZN-ENH-WAT-QUAL-AI-PH-MON
 
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

The EU Cybersecurity Resilience Act is keeping OEMs awake at night. How do you use free and open-source software whilst complying with new obligations around vulnerability management, supply chain transparency, and continuous support?
In this episode, Pierre Gal (Head of Product) from Witekio and Michael Röder (Senior Manager, Software and Services EMEA) from Avnet Silica tackle the urgent questions facing manufacturers: Who counts as a manufacturer under the CRA? What documentation must you maintain? And how do you manage vulnerabilities in components you didn't create?
Pierre explains how Witekio's Embedded Kit provides off-the-shelf solutions based on open-source software like Yocto Linux, helping customers navigate composition, integration, and compliance. Michael shares what he's hearing from customers struggling to interpret regulatory requirements and implement risk-based approaches.
From SBOM (Software Bill of Materials) to supply chain attacks, from secure by default to continuous vulnerability management, we explore the practical realities of making compliance work. The conversation cuts through the confusion to deliver actionable advice: understand your responsibilities, think in terms of composition, and don't wait for a magic bullet.
Tune in to learn how to leverage the power of open-source software whilst meeting your CRA obligations – because "free as in freedom" doesn't mean free from responsibility.
#CRA #cybersecurity #opensource #FOSS #compliance #IoT #wetalkiot
 
Summary of this week's episode:
04:14 Key Dates and Obligations of the CRA
05:27 Challenges Faced by Manufacturers
10:10 The Role of Open Source in CRA Compliance
19:58 The Concept of Software Bill of Materials (SBOM)
22:14 Real-World Example: Casino Attack Case Study
23:28 Documentation and Configuration Issues
24:04 Cybersecurity Layers and CRA Methodology
24:25 Secure by Default and Advanced Concepts
26:50 Implementation and Standard Processes
29:45 Quality, Testing, and Automation
31:53 Vulnerability Management Methodology
37:18 Critical Mistakes to Avoid with CRA
39:36 Supply Chain Attacks
 
Show notes:
Pierre Gal (Witekio): https://www.linkedin.com/in/pierre-gal/
Michael Röder (Avnet Silica): https://www.linkedin.com/in/roednix/
Securing the Future: Understanding the Cyber Resilience Act - We talk IoT #55: https://www.podbean.eu/ew/pb-8kkkd-d4ddfc
 
EU Cybersecurity Resilience Act: https://digital-strategy.ec.europa.eu/en/policies/cyber-resilience-act
National Vulnerability Database (NVD): https://nvd.nist.gov/
 
OWASP Top 10: https://owasp.org/www-project-top-ten/
 
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.

In this episode, we explore how an Emmy Award-winning video codec is transforming industries far beyond the silver screen.
Dr. Siegfried Fößel from Fraunhofer IIS explains how JPEG XS – a compression standard designed for broadcast production – now enables breakthrough applications in autonomous vehicles, industrial automation, and remote healthcare.
With a latency of just 32 lines end-to-end and visual lossless quality, JPEG XS solves a critical challenge: how to process high-resolution video in real time without introducing delay. When autonomous cars need to analyse multiple camera feeds in real time, when factory robots require split-second reactions, or when surgeons control remote instruments, every millisecond matters.
Siegfried discusses the journey from keyboard-video-mouse extenders to ISO standardisation, the technology's adoption in sports broadcasting, and why tier-one automotive suppliers are testing it for sensor fusion. We explore how the codec integrates into FPGAs for embedded cameras, its constant bitrate advantage for IP transmission, and the future of AI-based video compression.
Tune in to discover how low-latency video compression unlocks applications that weren't possible before – and what's coming next in the race to process visual data faster.
#jpegxs #automotive #machinevinevision #healthcare #compression #fraunhofer #iot #wetalkiot
 
Summary of this week's episode:
01:30 What is JPEG XS and why it matters beyond broadcast
02:53 How JPEG XS differs from other codecs
03:39 The origin story: From KVM extender to ISO standard
05:00 The trade-off: Compression ratio vs latency
06:47 Autonomous vehicles: Processing 10 cameras without loss
08:27 Beyond self-driving: Electronic mirrors and driver monitoring
09:42 Industrial automation: Real-time quality control and robotics
11:25 Factory integration: FPGA IP cores and embedded cameras
12:53 ISO standardisation and software development kits
14:14 Healthcare applications: Edition 3's lossless approach
15:49 Remote surgery possibilities
18:50 Implementation advice: When to choose JPEG XS
20:33 Looking ahead: AI-based video codecs at 10 kbit/s
22:43 The constant bitrate advantage
 
Show notes:
Dr. Siegfried Fößel: https://www.linkedin.com/in/siegfried-foessel-a158574/
JPEG XS: https://www.iis.fraunhofer.de/en/ff/amm/content-production/jpegxs.html
Emmy Award announcement: https://www.iis.fraunhofer.de/en/pr/2025/pressrelease-emmy-jpegxs.html
 
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.

Artificial intelligence is moving to the edge - and it's changing how factories operate, farms grow crops, and robots navigate the world.
In this episode, Monica Houston from Tria Technologies walks us through Tria's Vision AI Kit 6490, an industrial-grade edge computing board that processes five camera feeds simultaneously, runs inference locally, and handles demanding tasks like image segmentation - all without needing cloud connectivity or even a cooling fan.
Monica discusses real-world deployments in agriculture (spot-treating crops to reduce pesticide use), factory robotics (autonomous mobile robots and robotic arms), and the practical challenges of moving AI from comfortable data centres to harsh industrial environments. We explore why latency matters, what happens when you can't rely on internet connections, and why power efficiency is the unsung hero of edge AI.
If you've wondered whether edge AI is ready for industrial prime time, this conversation delivers the answer - with hardware in hand.
#EdgeAI #IndustrialIoT #Robotics #Agriculture #Qualcomm #WeTalkIoT
 
Summary of this week's episode:
01:57 Monica's Background at Hackster.io and Tria Technologies
02:38 What the Vision AI Kit Actually Does
04:01 Why Edge Processing Matters for Robotics
07:46 Agricultural Use Cases: Spot-Treating Crops
09:55 Autonomous Vehicles and VSLAM Technology
12:32 Factory Floor vs Self-Driving Cars
14:09 Real-World Deployment: Robot Arms in Action
16:44 ROS 2 and Robotics Applications
17:36 Edge Impulse: Making Model Deployment Easier
19:08 The 15-Year Lifecycle Question
22:18 Power Efficiency: Why No Fan Matters
 
Show notes:
Monica Houston: https://www.linkedin.com/in/houstonmonica/
How the Vision AI Kit 6490 could be used for agriculture:https://www.globalagtechinitiative.com/digital-farming/ai-takes-center-stage-in-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.

In this episode, we explore how accessible AI vision technology has become - and the surprising challenges that come with it.
Luke Walsh from Brainboxes built an AI rock, paper, scissors game using open-source software and hardware costing under £1,000. The playful demo masks serious industrial applications: from catching defects in car seat stitching with 22 cameras to monitoring hazardous environments without putting maintenance engineers at risk.
The conversation covers the technical realities of sub-200-millisecond latency, the stubborn resistance of factory maintenance teams, and why Overall Equipment Effectiveness (OEE) has been the missing piece in factory automation. Luke explains how vision systems can now replace invasive sensors, monitor quality without human inconsistency, and prove their worth to sceptical teams - one tote bin at a time.
Tune in to learn why the best way to deploy AI in factories is to start small, prove value fast, and never assume your training data covers every possible hand gesture.
#AI #computervision #manufacturing #opensource #bias #wetalkiot
 
Summary of this week's episode:
01:59 What Brainboxes does
05:43 How AI recognises hand gestures in under 200 milliseconds
08:42 Three reasons to choose open source: Latest models, trained engineers, community support
10:58 Real-world applications: Quality control and OEE
13:45 The car seat stitching use case: 22 cameras, one seat, zero tolerance
16:01 Beyond quality: Monitoring hazardous environments and non-invasive throughput measurement
17:39 Winning over sceptical maintenance teams
19:22 The tote bin story: When data settles a night shift dispute
20:35 The bias challenge: When "scissors" becomes a swearing gesture
23:08 The future of industrial AI vision systems and Jevons Paradox
25:13 Advice for manufacturers: Start small, keep it simple, nail first impressions
 
Show notes:
Luke Walsh: https://www.linkedin.com/in/lukewalsh/
The Brainboxes white paper about the demo: https://www.brainboxes.com/white-papers/ai-vision-systems-demo
 
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.

In this episode, we explore how engineers are embedding powerful AI directly into hardware – no cloud connection required.
Michaël Uyttersprot from Avnet Silica and Cedric Vincent from Tria Technologies reveal how they run ChatGPT-quality language models on resource-constrained embedded devices. What once demanded data centre infrastructure now fits onto chips with just 2GB of RAM.
The conversation covers the technical challenges of cramming billion-parameter models into embedded systems, real-world applications from conference rooms to industrial robotics, and the three compelling reasons driving this shift: data privacy, power efficiency, and cost control.
Michaël and Cedric discuss hardware platforms from AMD, NXP, and Qualcomm, explain techniques like quantisation and mixture of experts, and demonstrate applications including a vintage telephone box that lets you call avatars from different time periods.
Tune in to learn why the future of AI might not be in the cloud at all – and what that means for industries from manufacturing to healthcare.
#AI #LLM #embeddedsystems #IoT #privacy #wetalkiot
 
Summary of this week's episode:
02:48 What makes large language models special
05:27 Why run LLMs locally on embedded devices
07:42 Real-world applications: Vision LLMs and OCR
11:12 Technical deep dive: How to fit billions of parameters into tiny devices
18:52 Understanding temperature: Making AI creative or accurate
22:41 Industries moving fastest: OCR, security, and robotics
24:52 Future applications: Robotic arms and time series analysis
28:00 The biggest technical hurdle: Power consumption
30:55 Advice for engineers: Start with llama.cpp
 
Show notes:
Michaël Uyttersprot: https://www.linkedin.com/in/micha%C3%ABl-uyttersprot-aaa971211/
Cedric Vincent: https://www.linkedin.com/in/cedric-vincent-19222910/
Tria Technologies: https://www.tria-technologies.com/
 
Generative AI at the Edge: https://my.avnet.com/silica/solutions/technologies/artificial-intelligence/generative-ai/
The podcast episode where the generative AI examples where discussed: https://www.podbean.eu/ep/pb-9juiy-d4dec4
How to enhance embedded systems with Generative AI and Local LLMs | Michael Uyttersprot at HWPMAX25: https://www.youtube.com/watch?v=wL9g2wJ1a7c
 
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
The Llama song: https://youtu.be/JavZh3y1ue0
 
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.

In this episode, we explore a hidden crisis affecting thousands of buildings worldwide with Martin Mentzel, CEO of the German company Safesquare.
For thirty years, Local Operating Network (LON) technology has quietly powered building automation systems in hospitals, office buildings, and transport infrastructure. Now, critical components face end-of-life as manufacturers discontinue essential neuron chips, leaving companies scrambling for solutions.
Some companies need 8,000 replacement controllers per year that simply don't exist. Hospital operating rooms, lift systems, and building HVAC networks all depend on technology becoming impossible to maintain.
Martin discusses how Safesquare's babi-LON platform replaces discontinued components without forcing expensive system redesigns. We examine why LON technology has endured for three decades, the scale of the component shortage crisis, and how innovative engineering preserves critical infrastructure investments.
Tune in to discover how one company transforms an industry crisis into an opportunity whilst keeping essential systems running.
#LON #buildingautomation #infrastructure #iot #wetalkiot
 
Summary of this week's episode:
01:38 Understanding Local Operating Networks (LON) in Building Automation
03:36 The Component Shortage: A Deep Dive
06:52 Safesquare's Solution
08:06 Challenges and Costs of System Redesign
14:16 Safesquare's Journey and Vision
23:18 Future of LON Technology in Building Automation
 
Show notes:
Safesquare: https://safesquare.eu/
Webinar: https://gateway.on24.com/wcc/eh/2397559/lp/5053037/babi-lon-for-building-automation-safesquare?partnerref=podcast
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.

In this episode, we explore the remarkable growth of LoRaWAN with Alper Yegin, CEO of the LoRa Alliance. This non-profit consortium has spent a decade building the world's most successful long-range, low-power network standard outside China.
With 350 members, including Amazon, Comcast, Verizon, and Airbus, the Alliance has created technology that now connects 125 million devices globally - from temperature sensors in over half of North America's Starbucks stores to tracking collars on endangered black rhinos across 35 African national parks.
Alper discusses how LoRaWAN achieves ranges up to 600 kilometres whilst consuming as little power as a garage door opener, why major enterprises choose between public and private networks, and how satellite integration creates planet-wide IoT coverage. We explore real-world deployments that save lives and bottom lines, including 700,000 panic buttons across North American schools and hospitals and 5 million water meters across France.
Learn why this open-standard technology has outpaced competitors like NB-IoT and Sigfox, and how AI and edge computing are shaping the future of industrial IoT.
#lorawan #iot #lpwan #smartbuildings #satellite #wetalkiot #connectivity #iiot #sustainability
 
Summary of this week's episode:
01:34 The Journey and Achievements of LoRa Alliance
02:22 Why LoRaWAN is Ideal for Enterprise IoT
06:55 Comparing LoRaWAN with Other Technologies
15:05 Real-World Use Cases of LoRaWAN
19:43 Environmental Innovations
22:23 Challenges in IoT Integration
26:05 The Future of IoT with AI and Edge Computing
29:43 Public vs. Private Networks
33:30 Collaborative Ecosystem and Open Standards
 
Show notes:
Alper Yegin: https://www.linkedin.com/in/alperyegin/
LoRa Alliance: https://lora-alliance.org/
Episode 34: How IoT Protects Forest and Combats Climate Change: https://www.podbean.eu/ep/pb-64tnj-d4d765
 
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.

In this episode, we explore the future of kitchen efficiency with David Riding from Heatle, a Berlin-based startup revolutionising how we heat liquids through smart induction technology.
Heatle has developed an innovative smart heating system that uses magnetic induction and IoT connectivity to heat liquids directly in their containers, promising energy savings of up to 80% compared to traditional kettles. The system learns user patterns, integrates with smart home ecosystems, and opens new possibilities for subscription-based business models around energy data.
David discusses the journey from aerospace engineering to solving fundamental power electronics problems that previous startups couldn't crack. We explore the technical breakthrough that enabled Heatle to surpass the 300-watt power barrier, the role of energy harvesting in their temperature sensors, and how NFC technology simplifies user interaction.
From Bialetti coffee pots with automatic temperature control to smart hot water bottles, discover how IoT transforms everyday heating into precision experiences. We examine the challenges of marketing to diverse customer segments, the importance of listening to user feedback, and the transition from startup to full European production.
Tune in to learn how hardware innovation, customer collaboration, and smart technology integration create new business opportunities in the connected kitchen ecosystem.
#induction #heating #iot #smartkitchen #energyefficiency #wetalkiot
Summary of this week's episode:
01:46 Meet David Riding and Heatle's Origin Story
03:47 Why Kettles? The Energy Waste Problem
05:33 How Induction Heating Works vs Traditional Kettles
09:10 Breaking the 300-Watt Power Barrier
15:30 NFC Technology and Smart Tea Integration
19:26 Expanding Use Cases: Bialetti Coffee Pots and Beyond
22:35 Smart Home Integration Strategy
24:40 Data Analytics and German Privacy Standards
26:29 Software Updates and Customer Feedback Loops
32:36 Enterprise Integration: Kitchen Counters and Commercial Applications
35:59 Soundtrack Selection: From James Lavelle to Canned Heat
Show notes:
David Riding: https://www.linkedin.com/in/david-riding-engineer/
Heatle: https://heatle.de/
 
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:
You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.Subscribe to our newsletters here: https://my.avnet.com/silica/resources/newsletter/