Models have become a commodity and the true differentiator lies in your data. This session will showcase seven real case examples from Uber, Rechat, J.P. Morgan, ChatDOC, Arize AI, Qodo, and Unstructure that span the entire AI-delivery life cycle, demonstrating how to transform your data into AI-ready assets to unlock its full value.
talk-data.com
Speaker
Mark Beyer
2
talks
Mark A. Beyer is a Research Vice President and Distinguished Analyst in the ITL Data and Analytics group. He covers broad data architecture solutions including data management and its intersection with use cases and data governance issues. Mark just published research on how data management practices intersect with LLMs and other GenAI models. His most recent areas of client issues and research include "active metadata", data fabric, data mesh, and distributed data governance. Previous work included adapting best practices for data management (cloud, premises & Hybrid). With a combined direct experience as a power user, application developer, implementation project manager and data architect, he focuses on practical choices when possible and pragmatic delivery when choices are limited. His more aggressive research includes Gartner Maverick contributions and data integration disruptions while keeping healthy skepticism.
Bio from: gartner-data-analytics-apac-2025
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Most metadata in 2024 will remain passive in approaches with stats, reports, schema and business-developed glossary terms. Most organizations must grow their maturity in metadata management. We start with traditional metadata techniques — passive. With AI undergoing confidence issues and the demand to reduce risk, grow AI confidence, and provide data assurance, active metadata becomes key.