Many early AI architectures created another generation of silos: warehouse to lake to AI pipeline to a search or embedding store. Learn how one open, governed lakehouse can serve every workload with fewer copies.
Session Details
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One hour on one open lakehouse for BI, analytics, and agents, with time for your questions.
How each extra copy adds cost, governance complexity, and the risk of systems working from different versions of the truth.
How open table formats, catalogs, semantic layers, and high-performance query engines support BI, analytics, machine learning, apps, and agents.
How Dremio helps keep data open and governed while engines, applications, and AI systems change on their own timelines.
