Tom Coughlin of IEEE Fellow

Applying AI at the edge and endpoints often requires working under non-data center environments and in power constrained conditions.  AI inference also requires significant memory to hold weighting values from training.  New non-volatile memories can help provide more memory in a given device die and use less power than NOR flash, SRAM or DRAM.  This presentation will talk about changes in the memory/storage hierarchy and how it will change memory and storage in data centers and embedded devices to support energy efficient and low latency AI applications.

Biography:

Tom Coughlin, President, Coughlin Associates is a digital storage analyst and business and technology consultant.  He has over 40 years in the data storage industry with engineering and senior management positions at several companies.  Coughlin Associates consults, publishes books and market and technology reports (including The Media and Entertainment Storage Report and an Emerging Memory Report), and puts on digital storage-oriented events.  He is a regular storage and memory contributor for forbes.com and M&E organization websites.  He is an IEEE Fellow, Past-President of IEEE-USA and is active with SNIA and SMPTE. For more information on Tom Coughlin and his publications and activities go to www.tomcoughlin.com.

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