Media Summary: 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
Context Layer Vs Semantic Layer - Detailed Analysis & Overview
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 Check out Dave Mariani, Founder & CTO, AtScale talking about the 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 ... Workday's governance system worked beautifully for people — until generative AI exposed a critical flaw: systems designed for ...
One of the new enterprise AI challenges we face is this: where do we put all the business rules, security rules, policies, and ... Casey here distinguishes a few important terms in the ontology space: Taxonomy, Ontology, Knowledge Graph, and AI agents working on real data often fail not because of model quality, but because meaning is unclear, inconsistent,
![Context Layer vs Semantic Layer: You Need Both, Here's Why [2026]](https://i.ytimg.com/vi/Hx_3RtwcWkY/mqdefault.jpg)
![Ontology vs Semantic Layer: What's the Difference? [2026]](https://i.ytimg.com/vi/_hCYSPcMgOk/mqdefault.jpg)
