The hybrid AI approach is applicable to virtually all generative AI applications and device segments. This approach is crucial for generative AI to meet enterprise and consumer needs globally.
This keynote shows how, over time, advances in model optimization combined with increased on-device AI processing capabilities will allow many generative AI applications to run on the edge. In a hybrid AI solution, distributing AI processing between the cloud and devices will allow generative AI to scale and reach its full potential.
As the on-device AI leader, Qualcomm Technologies is uniquely positioned to scale hybrid AI with industry-leading hardware and software solutions for edge devices, spanning across billions of phones, vehicles, extended reality headsets and glasses, personal computers, the internet of things, and more.
Vinesh Sukumar
Vinesh Sukumar currently serves as Senior Director – Head of AI/ML product management 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.
Qualcomm
Website: https://www.qualcomm.com/
Qualcomm relentlessly innovates to deliver intelligent computing everywhere, helping the world tackle some of its most important challenges. Their leading-edge AI, high performance, low-power computing, and unrivaled connectivity deliver proven solutions that transform major industries. At Qualcomm, the team are engineering human progress.
