Rahul Chawla is a Lead BI Datawarehouse Engineer at Google and a Senior Member of the IEEE. He specializes in architecting scalable data foundations for AI and automation. At Google, Rahul led the transformation of financial reporting systems, reducing manual effort by 80% through autonomous AI agents. Previously, at Amazon, he built the data infrastructure that optimized Alexa’s NLU performance. He currently serves on the Executive Advisory Board of the IA FORUM and Industrial Advisory Board of the Texas State University, advising global leaders on the future of intelligent automation.
Artificial intelligence can only deliver value in process excellence when it is built on a solid, trustworthy data foundation. Explore why data infrastructure, not algorithms, is often the biggest differentiator between AI fails and AI that scales. Industry leaders will discuss the realities of fragmented process data, legacy systems, and data governance, and how organizations can create the conditions for AI to improve outcomes.