Date and time: November 10, 2026, 11:00 AM WET

Speaker: Manvinder Singh, VP, Product Management, Qualcomm Technologies
 

Building an edge AI prototype has never been easier. Turning that prototype into a secure, reliable, and scalable product is where many teams encounter their biggest challenges. Moving from proof of concept to production requires balancing AI performance, power efficiency, software integration, security, lifecycle management, and deployment at scale.

This session will explore the practical challenges organizations face when commercializing intelligent edge solutions and the strategies used to overcome them. Drawing on examples from robotics, computer vision, industrial IoT, and AI-powered devices, attendees will learn how developers can optimize AI workloads, integrate sensors and applications, simplify system design, and prepare solutions for real-world deployment.

Date and time: November 10, 2026, 04:00 PM WET
Speaker: Ziad Asghar, SVP & GM, XR, Wearables and Personal AI, Qualcomm Technologies

Ziad Asghar will explore the rise of physical AI and how the compute platform is changing for a new generation of AI-native personal devices that see, hear, and understand the world around us.
 

From smart glasses and wearables to emerging form factors, the session will examine how advances in on-device perception and contextual intelligence are enabling more personalized, agentic, private, and natural experiences. Attendees will discover how AI is becoming more personal through devices that understand their environment, anticipate needs, and assist in the moments that matter most.

Date and time: November 11, 2026, 02:00 PM WET
Speaker: Paul Torres, Sr. Director, Product Management, Developer Relations, Qualcomm Technologies

The age of AI is entering a new chapter. What began as cloud-based models is evolving into intelligent systems that operate across devices, edge infrastructure, and data centers.

 

In this session, Paul Torres will explore the convergence of physical AI, agentic AI, and hybrid AI and how these advances are reshaping intelligent systems. Through real-world examples and practical demonstrations, attendees will learn how developers can build responsive, personalized, and trusted AI experiences across the compute continuum and why the future of AI is distributed rather than confined to the cloud.