Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

LlamaIndex, a startup creating a framework that allows users to add personal data to large language models, is attracting VC backing.

Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

With model degradation, AI development could stall, leaving AI systems unable to ingest new data and essentially becoming “stuck in time.” ...

When dealing with subjective data, it is important to have an overlap of training data examples that can help check reliability, and it is equally important to ensure consistency in the labeling ...

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Furthermore, a connected data model all enables you to understand what fees your partners and vendors charge so you can see whether they are in compliance with contracts. Building a foundational media ...