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Debrup

Ghosh

Principal Product Manager

Debrup Ghosh is a skilled product leader who is passionate about creating innovative SaaS, security, and IoT solutions that help shape our future. With a proven track record of driving product development from ideation to launch, Debrup leverages user research, competitive analysis, and market trends to deliver customer-centric solutions that align with product strategy and vision. Currently, Debrup is a Sr Staff Product Manager within the Synopsys Software Integrity Group, where he is working on The Polaris Software Integrity Platform. This platform integrates the power of Synopsys Software Integrity products and services into a single, cloud-native, and easy-to-use solution to help security and development teams build secure and high-quality software faster. Debrup is also an industry thought leader in cybersecurity and has contributed articles to several prominent trade journals, including Forbes, CPO Magazine, Computer World, Information Week, Medium, The Street, News 7 Australia, and SC Magazine. He has gained over 30 mentions in 2022-23. He holds an MBA from The University of California, Irvine, and a Bachelor's degree from the National Institute of Technology, Tiruchirappalli, India.

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22 September 2026 11:15 - 12:00

Panel - Speed vs. substance: Are product teams moving too fast in the AI era?

AI is accelerating product development at a pace few teams have experienced before. But as organizations rush to launch AI-powered experiences and stay competitive, many product leaders are grappling with a difficult question: are we building products that create lasting customer value, or simply shipping features to keep up with the market? This panel brings together product and AI leaders to explore how modern teams are balancing speed, experimentation, customer trust, and meaningful product outcomes. From governance and operational readiness to adoption, usability, and long-term impact, the discussion will unpack what responsible and effective AI product leadership actually looks like beyond the hype cycle. Attendees will hear practical perspectives on: - Balancing rapid experimentation with customer experience - Avoiding “AI novelty” and focusing on real user value - Governance, trust, and operational considerations when scaling AI products - Aligning product, operations, and leadership teams around responsible AI adoption - Deciding when to move fast (and when to slow down)