The IoT Podcast

The IoT Podcast

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The IoT Podcast episodes

  • Making IoT Connectivity More Flexible: The Future of Scalable Connectivity

    What happens when IoT connectivity becomes more complicated as deployments scale?

     

    In this episode of The IoT Podcast, host Jake Gilbert, Head of 5V Tech, sits down with Jan Buis, CCO & Co-Founder of The IoT Guide, to explore the challenges businesses face when managing connectivity at scale and why more flexible models could offer a different approach.

     

    Jan shares his journey from telecoms and Wi-Fi into IoT, including how the IoT Guide evolved from an MVP focused on connectivity challenges into a platform designed to help businesses manage multiple connectivity solutions. The conversation also looks at the limitations of traditional prepaid and postpaid models, and how the IoT Guide’s wallet approach combines elements of both.

     

    Jake and Jan also discuss:

    • Why IoT connectivity becomes more complex as deployments scale
    • The challenges of prepaid and postpaid connectivity models
    • How the wallet model works and where it can be useful
    • Why hardware vendors are increasingly looking at connectivity as an additional service
    • How white-label connectivity can bring vendors closer to their customers
    • Use cases including backup connectivity and consumer wearables
    • The growing role of eSIM and flexible connectivity models
    • What hardware vendors should consider when choosing a connectivity partner
    • Why understanding how customers use connected products is so important
    •  

      The episode also looks ahead at how flexible, usage-based connectivity could develop, including the role of eSIM profiles and changing approaches to connectivity in IoT.

       

      Chapters

       

      • 00:00 – Introduction to IoT Guide
      • 02:57 – The evolution of IoT connectivity
      • 04:26 – Guiding businesses through connectivity
      • 07:03 – Connectivity challenges at scale
      • 09:00 – Prepaid vs postpaid
      • 10:26 – The wallet model
      • 11:46 – Backup connectivity use cases
      • 14:31 – Connectivity as a service
      • 16:39 – How the IoT Guide began
      • 18:48 – Simplifying connectivity
      • 20:58 – Selling connectivity as a service
      • 24:14 – White-label connectivity
      • 29:05 – Consumer wearables
      • 32:02 – Bringing vendors closer to customers
      • 35:52 – The future of eSIM
      • 37:53 – Will flexible models become standard?
      • 40:01 – Choosing a connectivity partner
      • 42:24 – Learning from customer usage
      • 44:28 – The importance of connectivity
      • 45:23 – Final thoughts
      • About The Things Industries

        The Things Industries is a leading provider of enterprise LoRaWAN® network solutions, enabling companies to build, operate, and scale secure IoT networks. Founded in 2015 and based in Amsterdam, its core product, The Things Stack, is a carrier-grade LoRaWAN Network Server trusted by enterprises worldwide. Its technology powers use cases from cold chain logistics to smart parking, with customers including Bosch, Panasonic, and Deutsche Bahn.

        Find out more: www.thethingsindustries.com

        SUBSCRIBE TO THE IOT PODCAST ON YOUR FAVOURITE LISTENING PLATFORM: https://linktr.ee/theiotpodcast

        Contact us to become a guest/partner: https://theiotpodcast.com/contact/

        42 min
      • Breaking the Lock-In Myth: The Reality of eSIM IoT

        Why was eSIM IoT supposed to solve vendor lock in, and why are new forms of lock-in still appearing across the industry?

         

        eSIM IoT promised greater flexibility, more choice, and the ability to change connectivity providers without replacing physical SIMs. But as adoption grows, the reality is proving more complicated.

         

        In this episode of The IoT Podcast, Jake Gilbert sits down with Henrik Aagaard, Co-Founder & CTO at Onomondo, to unpack the reality of eSIM IoT - exploring what the technology genuinely solves, where the industry is falling short, and what buyers need to consider when choosing an eSIM IoT solution.

         

        The conversation explores how traditional SIM-based connectivity created long-term lock-in for IoT deployments, while closed ecosystems, limited interoperability and non-configurable architectures can introduce new forms of technical and commercial lock-in.

         

        Jake and Henrik also discuss:

        • Why eSIM IoT was designed to remove traditional connectivity lock-in
        • What SGP.32 and the EIM mean for interoperability and control
        • How closed ecosystems can limit connectivity choices after deployment
        • The questions buyers should ask before committing to a provider
        • Why flexibility needs to be considered across the lifetime of an IoT deployment
        •  

          The episode also looks ahead at where eSIM IoT is heading, including the development of more open and interoperable connectivity models and what this could mean for wider IoT adoption.

           

          This episode offers a practical look at the realities of eSIM IoT, and why buyers shouldn't simply assume flexibility, but verify it.

           

          Chapters…

          • 00:00 Introduction to eSIM IoT
          • 03:29 Why eSIM IoT Matters
          • 06:43 Traditional Connectivity and Lock-In
          • 09:07 What eSIM IoT Gets Right
          • 12:42 SGP.32 and the EIM
          • 17:34 How Lock-In Still Exists
          • 22:40 The Impact of Lock-In
          • 27:21 What Buyers Should Look For
          • 32:08 The Impact on IoT Adoption
          • 36:19 Competition, Innovation and Cost
          • 39:39 The Future of Open Connectivity
          • 44:00 The Road Ahead for eSIM IoT
          • 47:33 Onomondo’s Approach
          • 49:17 Key Takeaways
          • 53:50 Final Thoughts
          •  

            The episode is live on all major listening platforms now! Listen here: https://linktr.ee/theiotpodcast

             

            Connect with our guest…  https://www.linkedin.com/in/henrikaagaard/

             

            About Onomondo

             

            Onomondo is a pioneer in next-generation IoT connectivity, with a fully integrated core network designed to simplify IoT management and development. Our platform helps businesses harness cellular connectivity to deploy IoT applications globally. By bridging cellular networks and the Internet of Things, Onomondo provides a modern, reliable and user-centric connectivity solution for businesses looking to scale with ease and agency.

             

             

            Find out more: https://onomondo.com/

             

            SUBSCRIBE TO THE IOT PODCAST ON YOUR FAVOURITE LISTENING PLATFORM: https://linktr.ee/theiotpodcast

             

            Sign up for exclusive email updates: https://theiotpodcast.com/get-exclusi...

             

            Contact us to become a guest/partner: https://theiotpodcast.com/contact/

            50 min
          • The Next Era of Intelligent Edge Devices I Edge of Tomorrow: The Edge AI Debate I

            The next era of intelligent edge devices is taking shape - but what’s driving real-world deployment, and how are hardware and software evolving to keep pace with such a fast-moving ecosystem?

            Welcome to Edge of Tomorrow – The Edge AI Debate, our spin-off series from The IoT Podcast, created in collaboration with the EDGE AI FOUNDATION. This series brings together leading voices from across the Edge AI ecosystem to debate the toughest questions shaping its future.

             

            In this episode, host Pete Bernard (CEO, EDGE AI FOUNDATION) is joined by Scott Hanson (Founder & CTO at Ambiq) to explore how ultra-low power compute is enabling the next generation of intelligent edge devices. Starting with the journey from research to commercialisation, the conversation traces how advances in low-power processor design have evolved into technologies now powering hundreds of millions of devices.

            It then moves into the realities of building for edge AI today, from balancing long hardware development cycles with rapid AI innovation, to the growing role of software in bridging that gap. The discussion dives into where edge AI is already delivering value at scale, including wearables, smart home systems, industrial monitoring, and medical devices. It also explores the shift from isolated use cases to widespread adoption, with an increasing number of deployed devices now running some form of intelligence at the edge.

            This episode offers a grounded perspective on the rise of agentic AI, the relationship between edge and cloud intelligence, and what’s needed to support increasingly complex, real-world systems, exploring where edge AI is today and where it’s heading next.

            Expect discussion on…

            • The role of ultra-low power compute in scaling Edge AI
            • Hardware vs. software: bridging development cycles
            • Where Edge AI is already delivering value at scale
            • Wearables, smart homes, industrial, and medical use cases
            • The shift from isolated deployments to widespread adoption
            • Edge vs. cloud: where intelligence actually lives
            • The rise of agentic AI and system-level intelligence
            • Chapters…

              00:00 Introductions

              01:30 The origin of Ambiq and ultra-low power innovation

              03:00 Scaling a chip company and market growth

              04:00 Hardware vs software development cycles in AI

              06:00 Keeping pace with rapid AI innovation

              08:30 General-purpose vs specialised architectures

              10:45 Moore’s Law and efficiency gains at the edge

              13:00 Real-world scale: where edge AI is being deployed

              15:30 Wearables, smart homes, and industrial use cases

              17:30 Edge AI in everyday life: sensing and inference

              19:30 Consumer vs commercial adoption trends

              21:30 The rise of “life logging” and contextual data

              24:00 Societal and ethical considerations of always-on AI

              25:30 Agentic AI and system-level intelligence

              27:30 Edge vs cloud: where intelligence actually lives

              29:30 Cost, scalability, and moving AI out of the cloud

              31:30 Physical AI and robotics opportunities

              33:30 Final reflections on the future of edge AI 🎧

              The episode is live now on all major podcast platforms Listen here: https://linktr.ee/theiotpodcast

              What’s your take? Join the debate!

              About Edge of Tomorrow – The Edge AI Debate Edge of Tomorrow is our dedicated debate series bringing together technologists, researchers, and industry leaders to tackle the most pressing and controversial questions in Edge AI. From privacy and security to ethics, ownership, and governance, this series goes beyond hype to explore what it will take to build Edge AI systems responsibly. Our goal is to surface diverse perspectives, challenge assumptions, and give listeners the context they need to navigate one of the most transformative shifts in modern computing.

              45 min
            • How To become a True Solution Provider | Dominik Kujawski - Co-CEO at needCode | The IoT Podcast

              Why do so many IoT and embedded projects become harder to deliver as they scale, even when the technology itself works?

              As IoT and embedded projects scale, the challenge shifts from simply developing the technology… to delivering outcomes reliably.

              Not just technically, but commercially and operationally too.

              In this episode of The IoT Podcast, Jake Gilbert sits down with Dominik Kujawski, Co-CEO & CRO at needCode, to explore how that shift is changing the way connected products are being built, delivered, and supported across the IoT industry.

              Drawing on their experience across wireless connectivity, ultra wideband, BLE, and embedded systems, the conversation focuses on the realities that start to emerge as projects become more complex - from integration challenges and certification requirements, to reducing iteration cycles, avoiding costly rework, and aligning technical delivery with commercial expectations.

              Rather than approaching projects as isolated technical tasks, Dominik explains why more companies are moving towards a solution-first mindset starting with the client problem, understanding the operational context, and taking greater ownership of the end result.

              Jake and Dominik also discuss:

              🎙️ What signals it’s time to move beyond your current business model

              🎙️ How starting from the client problem (not the technical solution) changes delivery

              🎙️ Why reducing iteration and rework is often where the real value sits

              🎙️ What “production ready” means when certification and performance are involved

              🎙️ How value is measured differently, beyond day rates or cost

              The episode also gives a look at how expectations on delivery partners are changing, particularly as connected products become more intelligent, more integrated and more commercially critical.

              This episode offers insight into what it actually takes to deliver successfully in modern IoT environments.

              Chapters...

              • 00:00 Introduction to needCode and Its Evolution
              • 03:45 Moving from Capacity to Solutions
              • 08:01 Cultural Alignment and Team Dynamics
              • 12:07 Understanding Client Problems and Delivery Challenges
              • 18:23 Identifying the Right Customer Profile
              • 23:38 Navigating Enterprise vs Startup Environments
              • 25:52 Shifting from Cost to Value-Based Delivery
              • 27:28 The Impact of AI and Edge Computing
              • 33:02 Certification, Interoperability, and Production Readiness
              • 36:17 Differentiation in a Competitive Market
              • 39:26 Real-World Case Studies and Lessons Learned
              • 42:38 Final Thoughts and Future Outlook
              • The episode is live on all major listening platforms now!

                Listen here: https://linktr.ee/theiotpodcast

                Connect with our guest… https://linkedin.com/in/dominik-kujawski

                About needCode needCode is an IoT development company focused on system integration, architecting, and deploying wireless connectivity solutions for critical applications. Their work spans ultra wideband, BLE, embedded systems, and smart connected products, helping businesses solve complex connectivity challenges and deliver production-ready solutions. Find out more: https://needcode.io/

                SUBSCRIBE TO THE IOT PODCAST ON YOUR FAVOURITE LISTENING PLATFORM: https://linktr.ee/theiotpodcast Sign up for exclusive email updates: https://theiotpodcast.com/get-exclusive-access/

                Contact us to become a guest/partner: https://theiotpodcast.com/contact/ 

                49 min
              • Can We Trust Edge AI? | Edge of Tomorrow: The Edge AI Debate with Ros Cammarota & Aydin Aysu

                What does “trust” really mean when AI lives at the edge?

                Welcome to Edge of Tomorrow – The Edge AI Debate, our spin-off series from The IoT Podcast, created in collaboration with the  @edgeaifoundation  This series brings together leading voices from across the Edge AI ecosystem to debate the toughest questions shaping its future.

                In this episode, host Pete Bernard (CEO, EDGE AI FOUNDATION) is joined by Rosario Cammarota (Chief Scientist, Intel Privacy Lab) and Aydin Aysu (Founder, MithrilAI) to tackle:

                Can you trust Edge AI - and if so, where does that trust really come from?

                As intelligence becomes distributed across edge devices, the traditional assumptions around privacy, security, and ownership start to break down.

                This conversation digs into how trust changes when AI runs locally, whether hardware can (or should) be trusted, and what it means for users, builders, and regulators alike.

                From cryptographic techniques like homomorphic encryption to real-world deployment scenarios, the debate explores what it actually takes to build Edge AI systems that are not only powerful, but trustworthy.

                Chapters…

                00:00 Introductions & debate setup

                02:30 What does “trust” mean when AI lives at the edge?

                07:10 Edge vs. cloud: control, risk, and responsibility

                11:40 Can we secure Edge AI without trusting hardware?

                17:20 The role of homomorphic encryption

                22:30 Data ownership, governance, and user sovereignty

                28:40 Real-world Edge AI deployments and security trade offs

                34:10 Final reflections: rebuilding trust in the Edge AI stack 

                The episode is live now on all major podcast platformsListen here: https://linktr.ee/theiotpodcast

                What’s your take? Join the debate in the comments.

                Connect with our guests…

                Rosario Cammarota – Chief Scientist, Intel Privacy Lab: https://www.linkedin.com/in/ro-cammarota-a226b817/

                Aydin Aysu – Founder, MithrilAI: https://www.linkedin.com/in/aydinaysu/

                Moderator: Pete Bernard – CEO, EDGE AI FOUNDATION: https://www.linkedin.com/in/bernardpete/

                About Edge of Tomorrow – The Edge AI Debate Edge of Tomorrow is our dedicated debate series bringing together technologists, researchers, and industry leaders to tackle the most pressing and controversial questions in Edge AI. 

                41 min
              • Tooling, Frameworks & the Future of Edge AI | Edge of Tomorrow - The Edge AI Debate

                Edge AI is evolving quickly - what’s changing in the tooling and frameworks that support it? And where do the biggest opportunities for improvement lie?

                In this episode of Edge of Tomorrow – The Edge AI Debate, host Pete Bernard (CEO, EDGE AI FOUNDATION) is joined by Elia Schoenberger (Product Marketing, AI Division at Civa) and Nathan Francis (Business Development at AIZip) for an in-depth discussion on the role of tooling and frameworks in shaping the future of Edge AI.

                While much of the attention in AI is placed on models and hardware, this conversation focuses on the layers in between — compilers, SDKs, deployment pipelines, and frameworks — and how they influence speed, scalability, and collaboration across the ecosystem.

                The discussion explores how hardware constraints, model design, and tooling choices intersect, whether the industry is moving toward standardisation or continuing to prioritise innovation, and what practical steps could help simplify Edge AI development without slowing progress.

                This episode offers a look at how the Edge AI stack is evolving - and what it will take to support broader, more efficient deployment in the years ahead.

                Chapters…

                00:00 Introductions

                01:40 Why tooling and frameworks matter in Edge AI

                03:25 Hardware constraints, models, and deployment realities

                05:23 Fragmentation vs fit-for-purpose tooling

                07:59 Power, performance, and memory trade-offs

                09:18 Where Edge AI sits on the maturity curve

                11:32 Standardisation, innovation, and ecosystem balance

                13:32 Compilers, MLIR, and unifying the toolchain

                16:02 Deployment challenges and quantisation complexity

                25:17 Generative models arriving at the edge

                31:36 Local-first intelligence and when the cloud still matters

                32:52 What would help accelerate Edge AI development

                36:13 Final reflections and closing thoughts

                The episode is live on all major listening platforms now: https://linktr.ee/theiotpodcast

                Connect with our guests…

                Elia Schoenberger (CIVA,Inc): https://www.linkedin.com/in/eliashenberger/

                Nathan Francis (AIZip): https://www.linkedin.com/in/nathanfrancis99/

                About Edge of Tomorrow – The Edge AI Debate Edge of Tomorrow is our debate-led spin-off series bringing together leaders from across the Edge AI ecosystem to explore the technical, commercial, and strategic decisions shaping how intelligence moves closer to the real world.

                SUBSCRIBE TO THE IOT PODCAST ON YOUR FAVOURITE LISTENING PLATFORM: https://linktr.ee/theiotpodcast Sign up for exclusive email updates: https://theiotpodcast.com/get-exclusive-access/ Contact us to become a guest or partner: https://theiotpodcast.com/contact/

                33 min
              • Where Will the Next Billion-Dollar Ideas Come From in the AI Era? | Yasser Alsaied | The IoT Podcast

                What does it really take to build the next billion-dollar idea?

                And why do some innovative ideas scale fast… while others quietly disappear?

                In this episode of The IoT Podcast, host Tom White sits down in Dubai with one of the show’s most popular previous guests - and one of the world’s leading voices in IoT - Yasser Alsaied, President at Facilis and former VP of IoT at AWS, for an open, in-person conversation about what really drives innovation today.

                They look back at predictions Yasser made in his 2023 episode and where we are now. They explore why ideas don’t win on vision alone, why startups often build the most meaningful breakthroughs and why many founders are now choosing belief over quick exits.

                They also talk about the pace of change across the MENA region, what moving fast really demands from leadership teams, and why having the right people matters more than having the biggest budget.

                From AI and edge to industrial systems and robotics, this episode is about what it really takes to turn an idea into something that lasts.

                Chapters…

                • 00:00 Introductions
                • 02:48 Looking Back: Which Predictions Came True
                • 08:05 Why AI Is Useless Without Real Data
                • 14:30 Why Startups Move Faster Than Big Companies
                • 20:45 When Innovation Dies After Acquisition
                • 27:40 Robotics, Edge, and Real-World Impact
                • 36:22 Why Tech Is Moving So Fast in the MENA Region
                • 55:56 Speed, Execution, and Knowing When to Move
                • 1:01:35 What It Really Takes to Build the Next Billion-Dollar Idea
                • The episode is live on all major listening platforms now: https://linktr.ee/theiotpodcast

                  Connect with our guestYasser Alsaied: https://www.linkedin.com/in/yasseralsaied/

                  SUBSCRIBE TO THE IOT PODCAST ON YOUR FAVOURITE LISTENING PLATFORM: https://linktr.ee/theiotpodcast

                  Sign up for exclusive email updates: https://theiotpodcast.com/get-exclusive-access/

                  Contact us to become a guest/partner: https://theiotpodcast.com/contact/

                  Connect with host Tom White: / tom5values

                  This episode is released alongside the announcement of Yasser’s strategic partnership with 5V Tech. Find out more: https://www.weare5vtech.com/welcoming-global-iot-leader-yasser-alsaied- 

                  1 hr 23 min
                • Programmable Mobile: The Connectivity Shift No One Can Ignore with Stacuity's Tim Dowling & John Freeman

                  What does it take to rebuild the way mobile connectivity works for IoT? And why are operators, MVNOs, and enterprises starting to rethink how much visibility and control they should have over their networks?

                  In this episode of The IoT Podcast, host Tom White sits down with Tim Dowling Co-Founder & COO and John Freeman - CEO at Stacuity, a company developing a fully programmable mobile core designed to give connectivity providers real-time control, flexibility, and global reach.

                  They dig into the shift toward more programmable networks, what real-time visibility actually enables, and why permanent roaming rules, data sovereignty and regional regulations are forcing a rethink of global IoT strategies.

                  The discussion focuses on how these changes show up in real deployments: faster troubleshooting, tighter security, smarter automation, and more flexibility for MVNOs and enterprises building connected products.

                  If you work with IoT devices, manage connectivity, or just want a clearer view of where the industry is heading, this episode is your inside scoop!

                  Chapters...

                  • 00:00 Introductions
                  • 02:44 What’s Changing in Mobile Connectivity Today
                  • 08:23 Why IT and Telecom Are Rapidly Converging
                  • 11:02 A Practical Explanation of “Programmable Mobile”
                  • 15:12 Data Sovereignty, Local Breakout & Performance
                  • 20:01 Who Benefits from Becoming an MVNO
                  • 24:48 Managing Connectivity Across Multiple Regions
                  • 27:29 What Full Network Control Enables
                  • 32:06 Common Operator & Enterprise Pain Points
                  • 41:22 Collaboration, Competition & Market Dynamics
                  • 48:30 How Real-Time Connectivity Unlocks New Use Cases
                  • 56:43 Career Lessons from Tim & John
                  • 59:35 Where to Learn More
                  • The episode is Live on all major listening platforms now: https://linktr.ee/theiotpodcast

                    Connect with our guests

                    Tim Dowling: https://www.linkedin.com/in/timdowling100/

                    John Freeman: https://www.linkedin.com/in/freemanj/ 

                     

                    Find out more about Stacuity: https://stacuity.com/?utm_term=stacuity&utm_campaign=&utm_source=adwords&utm_medium=ppc&hsa_acc=2497416715&hsa_cam=22351269244&hsa_grp=175269389166&hsa_ad=762379803079&hsa_src=g&hsa_tgt=kwd-2281329050636&hsa_kw=stacuity&hsa_mt=p&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=22351269244&gbraid=0AAAAAoKxsrV-OS0oKWO2JFcBguckGZ_sI&gclid=Cj0KCQiA_8TJBhDNARIsAPX5qxQHLGRUlDnDiC55YaFwyDBmmDarA3k16SX3Y9GJRt5xKPvZ0odq6LgaAhFXEALw_wcB

                    About Stacuity

                    Stacuity is a next-generation mobile connectivity platform empowering operators, MVNOs and enterprises with real-time control, flexible routing, and global-scale IoT connectivity. By combining a cloud-style, API-first core with distributed edge data breakouts, Stacuity enables programmable mobile networks that support data sovereignty, low-latency performance, and dynamic automation.

                    SUBSCRIBE TO THE IOT PODCAST ON YOUR FAVOURITE LISTENING PLATFORM: https://linktr.ee/theiotpodcast

                    Sign Up for exclusive email updates: https://theiotpodcast.com/get-exclusive-access/

                    Contact us to become a guest/partner: https://theiotpodcast.com/contact/

                    Connect with host Tom White:   / tom5values

                     

                    1 hr 4 min
                  • Closing the Gap: Closing the Gap: How to Get Edge AI To Users Faster | Edge of Tomorrow: The Edge AI Debate with Rajesh Subramaniam (embedUR Systems) & Reza Kazerounian (Alif Semiconductor)

                    Edge AI is evolving fast - but how do we accelerate the path from development to deployment, and get real products into users’ hands sooner?

                    Welcome to the Edge of Tomorrow - The Edge AI Debate, our brand new spin off series on The IoT Podcast in collaboration with the ‪ @edgeaifoundation  bringing together the leading minds in Edge AI for debates and discussions on the biggest challenges, opportunities, and emerging trends shaping the future of Edge AI.

                    In this episode, host Pete Bernard (CEO, EDGE AI FOUNDATION) sits down with Rajesh Subramaniam (Founder & CEO at EmbedUR Systems) and Reza Kazerounian (Founder & President at Alif Semiconductor) to tackle one of the most pressing questions in the space:How do we accelerate getting Edge AI products to users - and close the gap between innovation and deployment?

                    From chip design to software pipelines, product cycles to killer apps, this episode dives deep into the real-world friction between building cutting-edge Edge AI and actually commercialising it.

                    Expect thoughts on...

                    👉 Why Edge AI products are stuck in the lab while the tech races ahead

                    👉 What’s driving the growing gap between hardware, software, and market timelines

                    👉 The tension between standardisation and innovation - and who should compromise

                    👉 Whether the ecosystem is ready to scale or still too fragmented

                    👉 What tools, platforms, and killer apps are needed to ship at speed

                    Chapters...

                    • 02:10 Introductions
                    • 04:30 Why the AI hardware-software cycle is totally broken
                    • 06:40 The explosion of use cases - and the challenge of keeping up
                    • 09:10 Rajesh’s “Netflix moment” - when hardware is ready, but the app isn’t
                    • 12:00 What it takes to ship a real Edge AI product (beyond just the chip)
                    • 15:30 Model Nova, Fusion Studio, and simplifying deployment
                    • 17:45 Why standardisation might be the only way forward
                    • 20:10 Innovation vs. compatibility: can we have both?
                    • 24:00 How fragmentation is killing speed - and what to do about it
                    • 27:20 Disruptive architectures vs. proven platforms
                    • 31:00 The future of Edge AI tooling and ecosystems
                    • 35:10 Final thoughts: how do we actually close the gap?
                    • 🎧 The episode is now live on all major podcast platforms.Listen here: https://linktr.ee/theiotpodcast

                      What’s your take - are we close to bridging the Edge AI-user gap, or just getting started? Let us know in the comments!

                      Connect with our guests… Reza Kazerounian (Founder & President at Alif Semiconductor) - https://www.linkedin.com/in/reza-kazerounian/

                      Find out more about Alif Semiconductor - https://alifsemi.com/?gad_source=1&gad_campaignid=20681515581&gbraid=0AAAAAoY4w6vEfdbpyanaxs5O2n0oYS0LV&gclid=CjwKCAjw3_PCBhA2EiwAkH_j4vzdvAIW5JR2lgq9FGf2qqZc1TBtrnpVXxRLURxp2XvO3uZlUz7x9hoCzhoQAvD_BwE

                      Rajesh Subramaniam (Founder & CEO at EmbedUR Systems) - https://www.linkedin.com/in/rajesh-c-subramaniam/

                      Find out more about embedUR Systems - https://www.embedur.ai/

                      About the Edge of Tomorrow: The Edge AI Debate

                      Edge of Tomorrow: The Edge AI Debate is our special spin-off series bringing together some of the brightest minds in Edge AI and beyond for high-stake discussions and debates over hot-button issues, opportunities, and topics of the moment in and around Edge AI. From the ethics of machine learning to the security risks lurking at the edge, no question is off-limits.

                      Our goal is to bring together diverse voices—technologists, ethicists and innovators—to share their perspectives, explore new ideas, and discuss what’s at stake. By fostering honest, in-depth conversations, Edge of Tomorrow aims to give listeners the insights they need to better understand this transformative field.

                      This series isn’t just about exploring what’s next for Edge AI—it’s about discussing how we get there responsibly. By bringing together thought leaders from across the field, we aim to dig into the challenges and opportunities of Edge AI, sparking ideas that lead to meaningful change.

                      1 min
                    • Inside the NXP Smart Home Lab: Edge AI in 2025 - Where Are We, Actually? | Edge of Tomorrow: The Edge AI Debate with NXP's Davis Sawyer & Anthony Huereca

                      We’ve been talking about smarter devices for years - but what does progress actually look like today?

                      In this episode of our spin-off series Edge of Tomorrow: The Edge AI Debate, created in collaboration with the  @edgeaifoundation  , Host Tom White heads to NXP Semiconductor's Smart Home Lab to sit down with Davis Sawyer - AI Product Manager and Anthony Huereca - Senior Embedded Systems Engineer.

                      Together, they explore where Edge AI really stands in 2025 from smaller, more efficient models to the gap between what people want and what’s actually being built.

                      They dive into the current state of embedded intelligence, real-world applications in the smart home, technical and practical challenges, and what the future might look like, with a focus on what’s actually working today.

                      Expect thoughts on...

                      👉 Where smart home tech really stands in 2025

                      👉 Why “Physical AI” might define the next decade

                      👉 The reality of running large AI models on embedded devices

                      👉 The ongoing push for standardisation (and why it’s more complex than it looks)

                      Chapters...

                      • 03:20 Getting to know Davis & Anthony and what NXP is all about
                      • 04:50 Where we’re at with smart homes and if they’ve lived up to the hype
                      • 07:15 What people really want from AI vs. what we think they want
                      • 08:30 Whether AI is actually helping drive real automation
                      • 11:11 Finding the balance between the cloud and edge computing
                      • 12:30 Are we actually using the tech we’re building — and is it worth it?
                      • 15:30 Are we getting on the same page with Edge AI standards?
                      • 18:00 Why taking smart risks matters in innovation
                      • 18:33 Dreaming big — what we’d love to see in Edge AI
                      • 21:30 Everyone has a different take on what a “small model” is
                      • 23:00 The rise of AI models being built directly at the edge
                      • 24:30 NXP’s perspective on where Edge AI is going
                      • 27:40 Quick-fire questions with the guests
                      • 33:00 A tour of NXP’s smart home lab and solutions
                      • The episode is live on all major listening platforms now! Listen here: https://linktr.ee/theiotpodcast

                        What’s your take? Where do you see us heading? Drop your thoughts in the comments after you’ve had a listen.

                        Connect with our guests... Davis Sawyer - AI Product Marketing Manager: https://www.linkedin.com/in/davis-sawyer/ Anthony Huereca - Senior Embedded Systems Engineer: https://www.linkedin.com/in/huereca/

                        About Edge of Tomorrow: The Edge AI Debate

                        Edge of Tomorrow: The Edge AI Debate is a special spin-off series from The IoT Podcast, bringing together some of the brightest minds in Edge AI and beyond for high-stakes discussions on the challenges, opportunities, and trends shaping the future of intelligence at the edge. From the ethics of machine learning to the complexity of standardisation, no topic is off-limits.

                        Our goal is to give you real conversations — not just forecasts — by bringing together voices from across the field to explore how we can build AI that’s practical, responsible, and future-ready.

                        36 min

                      About The IoT Podcast

                      From the publisher's feed

                      IoT Talks and Tales The IoT Podcast is joined by the most influential leaders in IoT every Thursday to break down the current and up & coming IoT trends, unravel the misconceptions, doubts and forecast predictions on the ongoing journey for the Internet of Things.

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