The edge and embedded AI market is diverse and distributed, where systems that adopted industry standards have accelerated growth and lowered the barrier to entry.
With the emergence of AI accelerators and systems, it is important to learn from what has worked in the embedded space and leverage standards that enable developers and applications, reduce risk, and accelerate time to market. In this talk, we will outline some of the challenges to AI system adoption and how Flex Logix is working to make AI customization and deployment easier.
Barrie Mullins
Barrie has 25+ years of experience working with edge, embedded and AI systems across multiple industries including industrial, automotive, robotics, storage, and communications. Previously, he spent a year at Blaize as head of marketing, and three years at NVIDIA where he led the Jetson Product Marketing team. Prior to NVIDIA, he held multiple roles in Xilinx, including leading product marketing and management for the Zynq product line, sales enablement, business development, customer program management and managing design services. Barrie moved to the United States in 2007 from Ireland, where he worked for Xilinx and two starts ups, Raidtec Corp. and Eurologic Systems, in the Data Storage space where he holds three patents.
Barrie received his EE from the Munster Technological University, an ME from University College Dublin and an MBA from Santa Clara University’s Leavey School of Business.
