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Ashish
Garg
Principal Product Manager
Walmart
Ashish Garg is a product and AI leader with extensive experience building enterprise-scale planning, decision intelligence, and GenAI-enabled product operations across Walmart, Sam’s Club, eBay, and Gap Inc. Currently a Principal Product Manager at Walmart, he leads intelligent enterprise planning initiatives focused on AI-assisted product delivery, portfolio governance, and operational scalability. Known for building the “operating systems” behind high-performing product organizations, Ashish specializes in continuous planning, roadmap governance, AI-enabled workflows, and decision intelligence platforms that help large enterprises improve execution, prioritization, and cross-functional alignment. His work spans forecasting, supply chain optimization, conversational automation, and GenAI adoption frameworks including RAG architectures, prompt standards, and enterprise AI governance. A frequent keynote speaker and thought leader on enterprise AI, product operations, and AI trust, Ashish brings a practitioner’s perspective on moving organizations from AI experimentation to measurable operational impact. His recent talks have focused on intelligent product development lifecycles, enterprise AI governance, and scaling GenAI responsibly inside large organizations.
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23 September 2026 11:15 - 12:00
Panel - Securing the AI era: Governance, identity & trust in modern product strategy
As AI becomes embedded across products, workflows, and customer experiences, product leaders are facing growing pressure to balance rapid innovation with security, governance, and trust. From AI copilots and autonomous workflows to enterprise-grade AI infrastructure, organisations are now navigating complex questions around identity, access, compliance, data privacy, and operational risk. This panel brings together leaders across product, platform, security, and operations to explore how companies are building AI-enabled products responsibly — without slowing innovation to a halt. The discussion will unpack the governance frameworks, organisational models, and product decisions required to scale AI safely in enterprise environments while still delivering seamless customer experiences and business impact. Attendees will gain practical insight into: - building trust into AI-powered products and workflows - balancing governance with speed and experimentation - identity, permissions, and security challenges in AI systems - operational readiness for enterprise AI adoption - how product, security, and platform teams can collaborate more effectively - where organisations are underestimating AI risk today Ideal for product, platform, operations, and digital leaders navigating the realities of secure and scalable AI adoption.