AI at the Edge is transforming how data is processed, interpreted, and acted upon—closer to the source. But unlocking its full potential requires coordination across a diverse ecosystem of stakeholders, from silicon vendors and embedded engineers to data scientists, software architects, and system integrators. This technical roundtable brings together experts across the AI stack to address the practical challenges and innovations driving edge AI deployment today.
Discussions will explore architectural considerations for edge-optimized silicon, alongside advancements in vision and sensor technologies and the related operating systems. We’ll examine toolchains and frameworks enabling efficient deployment—from model conversion to hardware abstraction—and delve into real-world integration with RTOS, connectivity stacks, and security subsystems. Stakeholders will weigh in on performance-power tradeoffs, system validation, and the evolving role of standards and interoperability.
This session is part of our “AI in 2025: Shifting the discussion to the Edge” webinar series. Registration/event page here.
Monica Houston leads the AI / ML Applications Team for Tria Americas, where she focuses on enabling machine learning on Tria’s SOMs and developer kits. An avid maker and tinkerer, Monica founded the Seattle Arduino Meetup and was employee #2...
Matt Henninger is a Senior Business Executive with over 17+ years of experience running and managing business development and sales organizations across all aspects of the digital music ecosystem.
Prior to joining Moises, Matt has worked with All...
Marketing and Strategic Sourcing Center Senior Director, DFI
Jarry Chang is the Head of the Marketing and Strategic Sourcing Center at DFI Inc., bringing over two decades of unwavering dedication and leadership to the company. With a deep-rooted passion for innovation, Jarry has led DFI through critical...