The Things Conference is becoming the must-attend IoT event of the year. Traditionally, this event was the hub for anything LoRaWAN, but as we all know, IoT is about more than just LPWAN technologies, it's actually more than just about connectivity. And The Things Industries team understand this better than anyone else. So they decided to extend the scope of this year's edition of the Conference.Learn more and register at https://TheThingsConference.com

Dr. Andreas Savvides started his career over a couple of decades ago at Yale, leading research on wireless sensor networks, embedded systems, and sensor-driven applications for energy efficiency, security and healthcare. He rapidly realized the commercial potential of IoT and Edge AI and went on creating a SaaS energy analytics platform before many. Passionate about technology, he joined Cognex in 2018 to lead the company's edge intelligence efforts.Suffice it to say: Andreas knows a thing or two about Vision AI and its applications in the industry and shares with us a unique perspective on how far Edge AI has come, where it's going and how fast.🔗 Learn more about Cognex: https://www.cognex.com🤝 Connect with Andreas: https://www.linkedin.com/in/andreasgsavvides

Many IoT devices run on batteries for obvious reasons (remote and mobile location, critical enough to not rely on grid power only, you name it). But batteries have shortcomings: they have a limited lifespan, you need to constantly minimize energy consumption, hence reducing what can be done, which limits the hardware choices as well...More and more IoT devices manufacturers are considering and adopting energy harvesting solutions such as solar, allowing their devices to generate energy from their environment. This is known as Ambient IoT.It's becoming even more important to consider energy production and consumption holistically (tech, cost, AI, ...), it is a system problem, not a component one. And for that you need the right tools.With Jeff Crystal from Voltaic and Björn Rosqvist from Qoitch we delve into the fascinating new world of ambient IoT, discussing considerations, pitfalls, tooling, and more.🔗 Learn more at https://www.qoitech.com/ and https://voltaicsystems.com/🙏 This episode is powered by IoT Stars https://iotstars.com

Is ISA-95 obsolete? Is UNS the next step forward for Industrial data? How does the future of MES look like? Should we also consider a broader adoption of open-source technologies?That's some of the questions we are trying to answer on this new episode of the IoT Show with Alexander Krüger, Co-founder and CEO at United Manufacturing Hub (UMH) and long timer in the business of normalizing industrial data.Learn more at https://learn.umh.app/

Like with any other technology, you must be practical when you start with Edge AI.Bringing AI to the Edge has a lot of promise but also requires a lot of consideration.Mahmood Afshari, Business Manager at Softeq, has extensive experience in integrating IoT, Digital Twins and AI at the Edge.Mahmood joined me on the IoT Show to talk about use cases, the importance of focusing on ROI, expectations for AI at the Edge, the business considerations in terms of hardware, infrastructure, security, brownfield, greenfield, ...🔗 Connect with Mahmood on LinkedIn: https://www.linkedin.com/in/mahmoodafshari

In technology, you have the ones who implement and use it, and you have the ones who invent, innovate, trailblaze.Zach Shelby, whom you might know as the co-founder of Edge Impulse, is one of these trailblazers, and as you'll hear in this episode, when retracing his career, we retrace a large part of IoT history.🙏This episode is powered by IoT Stars https://iotstars.com

The Edge AI Foundation recently put together a challenge, proposing to Computer vision engineers, Data scientists, AI engineers and researchers to produce the best Vision AI models for the Edge using a large open source dataset. Participants were to approach the problem from the perspective of the models or from the perspective of the data.Kais Bedioui, Computer Vision engineer, was in the later camp and tells us how he used off-the-shelf AI models to clean up the large dataset, identifying non-labelled images or gaps and errors images annotations before even starting to train a model for the Edge.🔗 Check out Kai's project at https://github.com/kais-bedioui/Wake_Vision_Challenge_Data_Centric_Track🙏 This special episode is sponsored by the Edge AI Foundation https://www.edgeaifoundation.org/

Security, security, security! Ok, but how?Kevin Hilscher works at DigiCert and during this live interview recorded at IoT Stars during Embedded World 2025, he tells us how to make your IoT device future proof when it comes to provisioning, encrypting communications and authentication. He also explains why you should care about the Cyber Resiliency Act and gives us hints on what will happen post-quantum compute when it comes to security and encryption.