Vidyasagar Rao

Staff Product Manager, AI Ecosystem Partnerships
Qualcomm Technologies

Vidyasagar Rao is a part of PSE (Platform Solutions Ecosystem) Product Management at Qualcomm Technologies and leads AI/ML Ecosystem Partnerships. His primary focus is to expand the AI ecosystem  and enable new/differentiated/optimized AI-based experiences across technology areas, such as Imaging, NLP, Video & Audio on mobile phones, compute platforms and other edge devices based on Qualcomm chipsets, while maximizing the leverage of Qualcomm’s on-chip AI acceleration infrastructure.

He enjoys working closely with Qualcomm’s ISV & OTT partners to ship these delightful features to billions of users/devices worldwide.

Ask me about: AI-based mobile use cases, UX, Optimized Inference, Features/Constraints, HW Accelerators, Frameworks, Neural network trends in mobile, SDKs, Qualcomm SoCs, Performance/Power/Cost tradeoffs, Always ON/low-power, Quantization

Harnessing On-Device AI to Transform the Smartphone Experience
Thursday, January 28 | 
12:00 PM - 
01:00 PM

Smartphones have seen an explosive growth in AI/Machine Learning usage in the past 2-3 years, Qualcomm is bringing new experiences to consumers and improving user experience for existing use cases – from ‘DSLR-quality’ camera to ‘low-power/always-on’’ contextual awareness. In this session, we will take you through the latest trends, opportunities, challenges and tradeoffs associated with leveraging on-device AI acceleration to enable cutting edge AI use cases on smartphones & other consumer devices. You will learn about Qualcomm’s latest generation AI Engine, it’s heterogenous computing concept and a suite of Qualcomm AI software to harness AI acceleration. We’ll also go over Qualcomm’s rich and growing Platform Solutions Ecosystem and how our ecosystem strategy simplifies deployment of complex solutions and reduces time to market.

Scroll to Top