We talk IoT – The Internet of Things Business Podcast

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/

In this episode, we dive into eUICC technology with Gregory Laloy, IoT Product Line Director at Thales Cybersecurity and Digital Identity. We explore how embedded Universal Integrated Circuit Cards revolutionise IoT connectivity by eliminating physical SIM management and enabling remote carrier switching.
Gregory explains the technical foundations of eUICC, its impact on global IoT deployments, and why this technology addresses one of the industry's most persistent challenges: connectivity fragmentation. We discuss real-world applications, implementation considerations, and how eUICC opens new possibilities for IoT use cases that span borders and carriers.
From smart meters requiring decades of reliable service to connected vehicles crossing international borders, eUICC enables seamless connectivity management. Gregory shares insights on security considerations, cost benefits, and why this technology is becoming the foundation for serious IoT deployments worldwide.
Discover how this technology transforms device lifecycle management and why eSIM connections are projected to exceed 4.5 billion by 2027.
#eUICC #eSIM #IoT #connectivity #mobile #wetalkiot
 
Summary of this week's episode:
01:46 Meet Gregory Laloy and Thales Cybersecurity and Digital Identity
02:49 Understanding eUICC technology and connectivity fragmentation
04:37 How eUICC differs from consumer eSIM solutions
06:49 Remote carrier switching and profile management
08:14 Security considerations and regulatory compliance
10:29 Use cases enabled by eUICC technology
12:14 Cost benefits and operational efficiency
14:23 Automotive and cross-border connectivity examples
16:50 Implementation for developers and technical requirements
18:54 Market adoption trends and 4.5 billion projection
21:03 Future developments and post-quantum cryptography
22:11 Recommendations for IoT project implementation
23:47 Gregory's final thoughts on IoT market growth
 
Show notes:
Gregory Laloy: https://www.linkedin.com/in/gregory-laloy-002759/
Thales Cybersecurity and Digital Identity: https://www.thalesgroup.com/en/markets/digital-identity-and-security/mobile/soft-and-cloud-sim
eSIM Market Report: https://kaleidointelligence.com/esim-connections-to-exceed-4-5-billion-in-2027-driven-by-an-expanding-consumer-market-kaleido-intelligence/
 
Optimising Power Efficiency with IoT:
https://www.podbean.eu/ep/pb-uund9-d4de87
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.
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/
 

In this episode, we explore the critical intersection of IoT technology and railway infrastructure with Oliver von Sperber, Managing Director at AXO Track, a German startup transforming railway switch maintenance.
Twenty per cent of train delays stem from switch malfunctions, costing operators millions and frustrating passengers worldwide. Oliver and his team address this challenge through IoT sensors that monitor railway switches in real time, detecting problems before they cause expensive breakdowns.
Oliver brings unique expertise to this problem. He founded AXO Track after running both an investment bank and a sensor technology company. He even completed training as a railway switch mechanic to understand the technical challenges firsthand.
We discuss the journey from manual maintenance to predictive maintenance, the technical challenges of deploying sensors in critical infrastructure, and how smartphone technology has made railway IoT economically viable.
 
#railway #IoT #predictivemaintenance #infrastructure #sensors #transportation #digitalisation #switches #wetalkiot #smartinfrastructure
 
Summary of this week's episode:
01:38 Meet AXO Track and the railway delay problem
03:45 Understanding railway switches and failure modes
07:15 Why this technology didn't exist before - smartphone revolution
09:20 IoT sensor technology: vibrations, temperature, and humidity
11:45 Technical challenges: deployment, power, and data processing
14:30 Digitalisation drivers: Green Deal and skilled worker shortage
18:15 European market challenges and infrastructure investment
21:20 Predictive maintenance benefits and efficiency gains
24:45 Research project with Fraunhofer IVI and Eisenbahn-Bundesamt
27:30 Future plans and European expansion strategy
30:15 Role of artificial intelligence in predictive maintenance
32:45 Future of railway IoT technology
 
Show notes:
Oliver von Sperber: https://www.linkedin.com/in/oliver-von-sperber/
AXO Track: https://axotrack.de/en/
AXO Track Blog: https://axotrack.de/en/blog/
 
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.
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 computer vision with Tommaso Scuccato and Marco Bergamin from Videam, an Italian startup that brings AI-powered vision systems to the edge.
Videam tackles diverse challenges from ski pass fraud detection to traffic monitoring using custom-built cameras that process AI algorithms locally. Their patented technology avoids facial recognition, instead analysing patterns and features that work even when people wear goggles or face coverings.
Tommaso and Marco discuss their journey from aerospace and automotive engineering to developing polarised sensors that see through windscreen reflections, enabling applications from catching distracted drivers to industrial quality control. We explore why they chose edge processing over cloud solutions and how their partnership with Avnet accelerates hardware development.
Tune in to discover how intelligent cameras transform everyday problems into solved challenges – one frame at a time.
#computervision #ai #edgecomputing #iot #wetalkiot
 
Summary of this week's episode:
02:15 Meet Videam and the team
03:30 Ski pass fraud detection solution08:45 Company founding story and patent development
10:20 Aerospace and automotive backgrounds
12:40 Patented algorithm without facial recognition
15:15 Why edge AI beats cloud processing
19:30 Custom camera hardware development
22:45 Polarised sensors and windscreen applications
25:20 Traffic monitoring and industrial use cases
28:10 Backwards compatibility and system integration
29:50 Partnership with Avnet and STM32 development
32:15 Future opportunities in AI vision
34:20 Advice for aspiring developers
35:45 Design considerations for smart cameras
 
Show notes:
Tommaso Scuccato: https://www.linkedin.com/in/tommaso-scuccato-0029a6118/
Marco Bergamin: https://www.linkedin.com/in/marco-bergamin-82806753/
Videam: https://videam.it/
 
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.
You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.