In this episode of the CAIO podcast, Host Sanjay Puri interviews Dr. Vinesh Sukumar, Head of AI/ML Product Management at Qualcomm. He delves into his engineering and AI journey, emphasizing Qualcomm’s AI innovations across industries. He highlights fostering innovation and experimentation, seeking team members with these qualities, and Qualcomm’s commitment to education for an AI-driven future. He stresses understanding organizational goals in AI solution development, collaboration for user-centric experiences, and addressing data security and privacy. Assessing AI’s business impact and ROI, he advocates mentorship, continuous learning, and challenging norms. Infusing common sense into AI and anticipating AGI implications, he encourages embracing challenges beyond comfort zones.

Key Takeaways:

– Dr. Vinesh Sukumar shares his journey into engineering and AI, and his role at Qualcomm as the Senior Director, Head of AI ML Product Management.
– Building an AI ecosystem involves challenges such as deploying large models on edge devices, preserving spatial details in image and video content creation, and complying with regulations.
– Qualcomm has made AI innovations in various industries, including smartphones, AR/VR headsets, and automotive, with a focus on improving user -experiences and migrating applications to the edge.
– Fostering a culture of innovation and experimentation requires a mindset of continuous learning, challenging the status quo, and embracing diversity and inclusion.
– Qualcomm encourages education and upskilling through internal training, reading, and self-learning, and the AI group has visibility within the organization as part of the technology planning and net solutions group. Understand the problem statement and goals of the organization when developing AI solutions.
– Collaborate with research institutions, startups, and ecosystem partners to create meaningful user experiences.
– Address data security and privacy concerns through clean datasets and protection of user information.
– Assess the business impact and ROI of AI programs by measuring their ability to connect with users, enter new markets, and drive industry evolution.
– Have mentors, continuously learn, challenge the status quo, and be a good listener and cross-functional player.
– Explore new challenges and push oneself outside of their comfort zone

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Chapters:
00:00 – 5:05 Journey into Engineering and AI
05:06 – 21:44 Building an AI Ecosystem: Challenges and Opportunities
21:44 – 22:43 Fostering a Culture of Innovation and Experimentation
22:43 – 25:08 Qualities for Building a Strong Team
25:08 – 26:34 Education and Upskilling for an AI-Driven Future
26:34 – 27:33 Understanding the Problem Statement and Goals
27:33 – 29:26 Collaboration for Meaningful User Experiences
29:26 – 36:02 Addressing Data Security and Privacy Concerns
36:02 – 51:00 Assessing Business Impact and ROI 39:24 The Role of Mentors and Continuous Learning
51:00 Exploring New Challenges and Pushing Outside of the Comfort Zone

Resources Mentioned:
Dr. Vinesh Sukumar – https://www.linkedin.com/in/vineshsukumar/
Qualcomm – https://www.linkedin.com/company/qualcomm/

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