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Most AI pilots generate excitement. Few deliver enterprise value at scale.
In this session, Lakshmi Purushothaman draws on two decades of experience in AI/ML, risk, and enterprise data in financial services to share what finance leaders need to understand before AI can scale across the enterprise. Through a real-world case study, she will explore why promising pilots often stall at the point of enterprise adoption and outline a practical framework for building AI that is trusted, governed, and designed to scale.
Whether you are early in your AI journey or trying to reset your strategy, this session will give you the insight and tools to make smarter decisions about where AI can deliver sustainable business value.
Lakshmi Purushothaman is CEO and Co-Founder of Luminar Data Solutions, where she helps organizations build trusted AI capabilities grounded in sound risk management, governance, and business value.
Prior to Luminar, Lakshmi served as Vice President of Innovation, Data Science, Engineering, and Analytics at Freddie Mac, where she led enterprise-wide data and AI strategy for a $3+ trillion mortgage portfolio. She advised C-suite leaders and engaged with federal regulators on AI governance, risk, and the responsible use of advanced analytics in a highly regulated industry.