Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform


Date:  Monday, May 11

Start Time: 2:40 pm

End Time: 3:10 pm

As AI moves into the physical world, the industry faces a choice: keep innovation locked behind complex, closed systems—or open it up. Arduino has chosen openness, enabling millions of builders to create physical AI systems that sense, think and act in the real world. In this talk, we’ll explore how the new Arduino UNO Q and VENTUNO Q boards—along with the Arduino App Lab—redefine the early stages of embedded vision and AI development, making experimentation fast, intuitive and accessible. We’ll then show how these same projects can scale beyond the prototype phase using Qualcomm’s comprehensive edge AI platform, spanning silicon, SDKs, AI runtimes and training solutions. This session presents a new model for edge AI development—one where developers don’t have to choose between ease of initial development and professional-grade deployment.

Track

Session Speakers

  • I’m a tech enthusiast, IoT technical advisor and all‑around DevRel pro with a passion for democratizing complex technologies—from embedded to edge to cloud. Today, I’m Director of DevRel at Qualcomm Technologies, Inc. You might know me as the host of The IoT Show, the ex‑Microsoft IoT guy or an IoT and DevRel advisor. My journey started as an embedded developer and consultant (those were the days!). I later became a Technical Evangelist for Microsoft France and Microsoft Corporation, and spent time with Microsoft Open Technologies working across open-source communities—from web and JavaScript to gaming and IoT. I then spent seven years helping build core IoT services on Azure. Between Microsoft and Qualcomm, I ran my own advisory firm, helping industrial players adopt IoT and edge AI—while always advocating for developers. Let’s connect and geek out about sensors, connectivity, physical AI or the industrial metaverse.


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Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform