Edge vs. Cloud: Where Does AI Live with Dr. Vinesh Sukumar, Qualcomm VP of AI
Edge vs. Cloud: Where Does AI Live?
Speaker: Dr. Vinesh Sukumar, Vice President of AI, Qualcomm
Moderator: Jeff Garwood, SVP AI Strategy, The AI Factor Institute
As AI becomes embedded in devices, products, and enterprise operations, leaders face a critical architectural question: Where should AI workloads live?
Join Dr. Vinesh Sukumar, Vice President of AI at Qualcomm, for a WLDA and Gartner Tech Talk exploring the evolving relationship between edge and cloud AI and what it means for enterprise technology strategy.
Drawing on his experience at Qualcomm, Dr. Sukumar will examine how organizations can determine which AI workloads should run at the edge, which should remain in the cloud, and where hybrid approaches can deliver the greatest value. He will also discuss how factors such as latency, cost, connectivity, privacy, security, and computing capacity influence these decisions.
The conversation will explore:
The strengths and limitations of edge, cloud, and hybrid AI architectures
How to determine the right environment for different AI workloads and use cases
How edge AI can support faster, real-time decisions with reduced reliance on connectivity
The trade-offs involving performance, scalability, cost, privacy, and security
How the growth of AI-enabled devices is reshaping enterprise technology infrastructure
What leaders should consider when building a flexible and resilient AI strategy
Rather than viewing edge and cloud as competing approaches, this session will examine how they can work together to support the next generation of intelligent products, services, and enterprise operations.
Moderated by Jeff Garwood, the session will combine expert insights with an open, interactive discussion designed to help leaders evaluate where their AI workloads should live and how their technology strategies must evolve as AI scales.