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DTSTAMP:20260516T170210Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2025.data
 versity.net/sessionPop.cfm?confid=164&proposalid=16069\nData drives innovat
 ion, yet many organizations struggle with siloed systems. This session focu
 ses on how to build intelligent data architectures that not only provide va
 luable business insights but also enable Generative AI. We'll explore h
 ow to transition from siloed data to cohesive, AI-ready data products. Disc
 over practical strategies for designing scalable and modular data architect
 ures, optimizing metadata for AI, and overcoming the challenges of integrat
 ion and scaling in complex enterprises.\n\nKey Topics:\n\n
 Shifting from Data Silos to Data Products.\n
 Approach to design and architect scalable and modular solutions using data 
 contracts, API ecosystems, and automated self-service platforms to design A
 I-ready data products.\n
 Optimizing metadata as a critical enabler for Generative AI, ensuring it&#3
 9;s structured, discoverable, and contextually rich. Making metadata access
 ible and useful for powering AI systems.\n
 Strategies to Address Integration and Scaling in Complex Enterprises.\n
 Best practices for ensuring data governance, quality, security, and scalabi
 lity.\n\n
DTSTART:20250507T083000
SUMMARY:Architecting Intelligent Data Products: From Data Silos to Generati
 ve AI
DTEND:20250507T091459
LOCATION: See Description
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