Qualcomm

What is Qualcomm AI Stack?

Qualcomm® AI Stack is a comprehensive AI solution for OEMs and developers, supporting a wide range of intelligent devices with broader AI software access and compatibility. For the first time, a single AI software portfolio works with multiple Qualcomm Technologies platforms spanning the wide range of Connected Intelligent Edge products – including mobile, automotive, XR, compute, IoT, and cloud platforms.

This webinar will walk through the various offerings provided by the Qualcomm AI Stack, as well as features supported, and the various solutions being enabled as a function of this primary investment.

Qualcomm AI Stack is a product of Qualcomm Technologies, Inc. and/or its subsidiaries.

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Overview

September 17th: Day 1 – Keynote & Presentations 8:00am-4:00pm
Location: Qualcomm – N Auditorium 5775 Morehouse Drive, San Diego, CA

September 17th: 4:30pm-6:30pm: Networking Meetings & Reception
Location: La Jolla Marriott 4240 La Jolla Drive, San Diego, CA

September 18th: Day 2: 8:30am – 12:30pm Presentations & Meetings
Location: La Jolla Mariott 4240 La Jolla Drive, San Diego, CA

Highlights

Opening Keynote:
Qualcomm EVP, Engineering & CTO Jim Thompson

The Internet of Things – Challenges and Opportunities:
Qualcomm Technologies SVP & GM, IoT Jeff Lorbeck

Industry 4.0/5G and Smart Cities:
Qualcomm Technologies VP, Business Development Jeffery Torrance

Qualcomm Smart Cities Accelerator Program:
Qualcomm Technologies Sr. Director, Business Development, Head of Smart Cities Sanjeet Pandit

Industry Panel:
Smart Cities Deployments: Experiences and Learnings

Industry Panel:
5G/Industry 4.0/Auto: Future Smart Spaces

City Panel:
Use Cases

Speakers

Dr. Vinesh Sukumar

Staff Manager, Product Marketing, IoT Marketing Lead, Qualcomm Technologies Inc.

Vinesh Sukumar currently serves as Senior Director product management, Head of AI/ML, at Qualcomm Technologies, Inc.. 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.