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Dilip
Mandadi
Director of Product Management, Data Security and Governance
Salesforce
Dilip Mandadi is Director of Product Management for Data Security and Governance at Salesforce, where he leads foundational capabilities powering secure, AI-driven data experiences within Data 360. With deep expertise across identity, governance, compliance, and large-scale data integration platforms, Dilip specializes in building enterprise systems that balance security, scalability, and seamless user experience. Over the past decade, he has led product initiatives spanning AI infrastructure, enterprise IAM, customer identity, compliance automation, and data governance across Salesforce, Cisco, KPMG, and PwC. His work has included modernizing identity systems for more than 70,000 Salesforce employees, supporting secure access for over 20 million Cisco users, and developing scalable governance frameworks for AI-powered enterprise products. Passionate about responsible AI adoption, Dilip frequently speaks on topics including identity security, authentication, zero trust architecture, AI governance, and trusted data systems for enterprise AI. He brings a unique perspective at the intersection of product strategy, security, compliance, and AI transformation.
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22 September 2025 11:15 - 12:00
From AI hype to operational reality: A hands-on workshop
Most enterprise AI initiatives don’t fail because of the technology - they fail because teams struggle to operationalize AI inside real workflows, decision-making processes, and organizational structures. In this interactive workshop, Dilip Mandadi, EVP at Salesforce, leads a hands-on session focused on what it actually takes to move AI from experimentation to measurable business impact across product and enterprise teams. Rather than a traditional presentation, this session is designed as a collaborative operator workshop combining live frameworks, audience discussion, implementation exercises, and real-world transformation lessons from scaling AI inside complex organizations. Attendees will explore: - how to identify high-value AI workflow opportunities, - where most enterprise AI rollouts break down, - how to redesign product and operational processes around AI capabilities, - balancing governance, trust, and execution speed, - and how leaders can drive organizational adoption beyond initial pilots. Participants will leave with practical frameworks, implementation approaches, and actionable ideas they can immediately apply within their own teams and organizations.