Searchable, context-rich data - The shortcut to effective AI
NetApp helps teams quickly find and access relevant data, breaking down silos to build AI on high-quality, context-rich information—improving model accuracy and reducing time spent on data wrangling.
Speakers
Gordon Lerman is a Staff Product Manager on the AI Data Engine team, where he leads the development of Data Curator—a tool that empowers customers to build retrieval endpoints from their data estates, enabling LLMs to seamlessly answer questions against their proprietary information.\n\nWith nearly a decade of experience at the intersection of product management, data strategy, and cloud innovation, Gordon brings a deep understanding of how to turn complex technical capabilities into impactful customer solutions.\n\nBased in Chicago, IL, Gordon enjoys spending time with his family, staying active, golfing, and working on side projects that explore new technologies.
Prabh Singh is an engineering leader at NetApp, where he leads the AI Governance and Kubernetes teams with a strategic focus on elevating NetApp storage as the premier choice for AI workloads. His extensive experience in guiding enterprises through Kubernetes and cloud-native transformations has been essential in shaping the future of containerization and AI adoption across the industry.
