Artificial intelligence is not a new concept. Machine learning has been used for decades in large server and high performance computing environments. Why is it attracting so much attention, investment and innovation now? The answer, as with most disruptive technologies, is a convergence of technology enablers and market demands that previously were insufficient to drive scale. In this presentation, we examine the market for processors in AI applications. We illuminate key trends in adoption of different classes of processors in a range of key applications, and explain why embedded vision is at the heart of these trends. And, we show how this adoption is driving revenue for different classes of processors in markets including automotive, consumer, data processing, industrial and wired and wireless communications.
Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors
Session Speakers
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Tom Hackenberg
Principal Analyst, IHS Markit
Tom Hackenberg is the Associate Director and Sr. Principal Analyst for Processors in the Technology division at IHS Markit where he has worked for the past 12 years. Tom’s broad scope of processor coverage includes traditional microcomponent and application specific processor markets. In addition to component coverage, Tom provides a breadth of knowledge related to deeply embedded systems in markets such as automotive, industrial and telecommunications equipment. His analysis extends to processor technology trends such as embedded vision, internet-of-things (IoT), sensor fusion, smart devices, artificial Intelligence (AI) and embedded security. Tom holds a BSEE from the University of Texas at Austin specializing in Processors and FPGAs.
