IIoT and Edge Computing in 2023 | IOTech's Jim White | Internet of Things Podcast

IoT For All Podcast · 24 Jan 2023 · 20m

What this episode covers

Jim White, CTO of IOTech Systems, discusses the evolution of Industrial IoT and edge computing in 2023, noting a shift from experimental pilots to serious, production-ready solutions. He explains that hyperscalers are adapting their cloud-centric models to better serve edge environments, while companies are moving away from unnecessary AI/ML complexity toward simpler, rule-based analytics for specific use cases. White also highlights the challenges of applying enterprise-grade tools like Kubernetes to resource-constrained edge devices, emphasizing the need for specialized orchestration solutions.

Other shows on the same ground, closest first.

  • Over the Air · 33m

    Managing 250 Million Messages Per Day

    Eric Simone, Founder and CEO of ClearBlade, discusses the company's evolution from a services firm to a product-led Industrial IoT platform. He details the painful transition in 2013, including retooling staff and handling employee departures, and explains their strategic bet on edge computing before it was mainstream. Simone highlights ClearBlade's 'intelligent assets' platform, which allows non-technical operators to manage connected devices via no-code tools while remaining flexible for developers, and outlines their future focus on deploying AI models at the edge.

  • Over the Air · 20m

    The Future of IoT Revealed: Inside Samsara's Data Revolution with Evan Welbourne

    Evan Welbourne, Head of AI and Data at Samsara, discusses the evolution of IoT from a distinct technology to an invisible infrastructure, emphasizing that the real value lies in data analytics and edge computing. He details Samsara's pivot from a temperature sensor to a vehicle gateway, highlighting how thermal constraints in AI dash cams drive hardware design decisions. The conversation explores the future of neuromorphic computing, data ownership in connected devices, and the rise of edge AI for real-time safety insights.

  • The Pragmatic Embedded Podcast · 49m

    Buzzword Bingo (or: which modern technologies make sense for embedded?)

    Hosts Jeff Gable and Luca Ingianni evaluate modern development buzzwords for embedded systems, discussing the applicability of web technologies like Kubernetes and Docker, the nuances of CI/CD pipelines, and the practical adoption of Rust and modern C++. They highlight specific tools such as Memfault, Mender, and Renode for observability and simulation, and analyze the role of AI in both device-side machine learning and developer productivity.

  • Over the Air · 52m

    Silicon Valley IoT Innovations: Insights from IoT Tech Expo 2024

    Ryan Prosser and Bill Brock interview a diverse range of founders and executives at the IoT Tech Expo 2024, including Jason from Prion, Alan Bain from Key Factor, Ken Cowell from RAD AI, Spencer from Edge Impulse, Charles from Adam Beam, Virginia from Fuel AI, Tomer from Autorise, Eric from M. Fly, Josh from Sesame Software, Lee House from IoT 83, Rick from Contron, Brian from National Grid, Renee from Hardware IL, and D Paul from Innoface. They discuss specific products like Prion's RAG engine, RAD AI's Continuity tool, Edge Impulse's ML platform, and Innoface's Matter 1.2 certified modules, highlighting the industry's shift toward edge computing, security, and AI integration.

  • Over the Air · 46m

    Live Insights from Sensors Converge: IoT Innovations with Industry Leaders

    Ryan Prosser and Daniel Fudge of Very interview industry leaders at Sensors Converge 2024, including Andy from Embedded Works, TC from Ossia, Kelvin Finley from Control by Webb, Dan Steeler from Power Film, Eric from Zapata AI, Joey from Helium, Seth from Sivo, Burke from IO Intelligence, Luke and Marley from Santa Clara IoT Lab, and representatives from Minibay Mitsumi. They discuss advancements in sensor technology, wireless power, edge AI, and IoT controllers, highlighting specific products like Ossia’s RF power, Zapata’s virtual sensors for IndyCar, and Sivo’s spatial audio head tracking. The conversation covers the shift toward edge computing, low-power sensor integration, and the challenges of building scalable, privacy-preserving IoT systems.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by IoT For All Podcast. The episode itself belongs to its publisher.