On-Device AI: Tradeoffs for Edge-Based SLMs - Performance, Accuracy & Efficiency | Kisaco Research

On-Device AI: Tradeoffs for Edge-Based SLMs - Performance, Accuracy & Efficiency

Speaker(s): 

Author:

Vinesh Sukumar

VP of Product Management for AI
Qualcomm

Vinesh Sukumar currently serves as VP of Product Management for AI at Qualcomm Technologies, Inc (QTI).  In this role, he leads AI product definition, strategy and solution deployment across multiple business units.

He has about 20 years of industry experience spread across research, engineering and application deployment. He currently holds a doctorate degree specializing in imaging and vision systems while also completing a business degree focused on strategy and marketing. He is a regular speaker in many AI industry forums and has authored several journal papers and two technical books.

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Vinesh Sukumar

VP of Product Management for AI
Qualcomm

Vinesh Sukumar currently serves as VP of Product Management for AI at Qualcomm Technologies, Inc (QTI).  In this role, he leads AI product definition, strategy and solution deployment across multiple business units.

He has about 20 years of industry experience spread across research, engineering and application deployment. He currently holds a doctorate degree specializing in imaging and vision systems while also completing a business degree focused on strategy and marketing. He is a regular speaker in many AI industry forums and has authored several journal papers and two technical books.

Time: 
2:30 PM - 3:10 PM
Agenda Track No.: 
Track 3
Session Type: 
Keynote
Session Stage: 
Edge AI