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Usha
Jagannathan
Director of AI Products
IEEE Standards Association
Usha Jagannathan is a Responsible AI leader and enterprise architect currently working with IEEE Standards Association, where she focuses on advancing safe, ethical, and scalable AI adoption. With a background that includes experience at McKinsey & Company, she brings a strong blend of strategic advisory and hands-on technical expertise in AI governance, risk management, and enterprise transformation. Usha specializes in helping organizations move beyond AI experimentation to production-ready systems that are trustworthy, compliant, and aligned with business goals. As co-author of The AI Optimization Playbook, she is particularly focused on bridging the gap between AI strategy and operational execution ensuring that technologies like GenAI are deployed responsibly at scale. Her work sits at the intersection of product innovation, governance, and enterprise architecture, making her a key voice in the evolving Responsible AI space.
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14 April 2026 11:45 - 12:30
Panel: Building the AI-native product stack
As organizations race to integrate AI, many quickly realize that true transformation requires more than adding models it demands an AI-native product stack built for speed, experimentation, and scale. In this panel, product and engineering leaders unpack what it really takes to design and operationalize this new foundation. Panelists will explore the core components of an AI-native stack from data pipelines and model development workflows to experimentation frameworks, governance, and product integration patterns. They’ll share hard-won lessons on balancing innovation with risk, aligning cross-functional teams, and evolving legacy systems without disrupting the business. Attendees will walk away with a grounded understanding of how modern organizations are building AI-ready infrastructure, the trade-offs they face, and the strategic considerations that enable AI to deliver lasting product value.