Context Layer Vs Semantic Layer Context Layer Vs Semantic Layer

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In this episode of the AtScale Data-Driven Podcast, Dave Mariani sits down with Juan Sequeda, Principal Researcher at ... What does enterprise AI actually need to succeed: more data access An ontology defines what things are and how they relate. A Dave Mariani, Founder & CTO, AtScale talking about the Welcome to Between the Columns, Atlan's thought leadership series breaking down modern data concepts. In this episode, we ... One of the new enterprise AI challenges we face is this: where do we put all the business rules, security rules, policies, and ...

AI agents working on real data often fail not because of model quality, but because meaning is unclear, inconsistent, Workday's governance system worked beautifully for people — until generative AI exposed a critical flaw: systems designed for ... Casey here distinguishes a few important terms in the ontology space: Taxonomy, Ontology, Knowledge Graph, and Understand how a data model works. You use this star model in Power Pivot and Power BI, for example. A must if you work with ... Retrieval-Augmented Generation (RAG) is great for answering questions, but when it comes to enterprise software development, ...

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Last Updated: June 8, 2026

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