New semantic generators turn definitions and relationships in enterprise data models into reusable semantic layers for ...
Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...
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Cohere's Model Vault now encrypts AI inference so even Cohere cannot see enterprise customers' data
Cohere plans on making the full serving stack used in Model Vault open source so that independent auditors will be able to ...
DataCebo today released SDV 2.0, software that lets an organization build a generative relational model of its own databases.
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
AI models never remain static; they inevitably drift over time. This makes continuous output monitoring and model drift mitigation vital to any ongoing AI strategy. AI systems are developed using ...
The Financial Services Sector Coordinating Council's idea for describing data and its sources is starting to take off.
Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...
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