As models converge, the enterprise edge in AI shifts to governed data and the platforms that control it

For most enterprises, that advantage in enterprise AI lives in unstructured data: the contracts, case files, product ...
Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
Tech Times

Power BI Analytics Essentials for Microsoft BI Data Modeling DAX and Data Gateway

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...
SiliconANGLE

MongoDB combines database and embedding models for simplified AI development

MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers ...
SiliconANGLE

LanceDB raises $8M to speed up AI models with its open-source vector database

LanceDB Inc., the developer of a database optimized for artificial intelligence models, today disclosed that it has raised a $8 million seed round. CRV led the investment with participation from ...

Microsoft Fabric Database Hub only a 'partial' solution for admins

Could help break silos, but users should take wait-and-see approach to system limited to Microsoft DBs and DBaaS ...
dbta

The Art of Logical Data Models

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 ...