AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Abstract: Modeling and controlling aircraft can be particularly challenging when the system is highly nonlinear or only partially understood. While data-driven approaches can be promising in this ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Accurate quantitation during chemical characterization─also referred to as ...

Abstract: Database modeling defines the logical design, structure, and specifications for data storage and access within a DataBase Management System (DBMS), a core component of any Information System ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

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, ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. SQL Server 2025, now in public ...

SAN DIEGO--(BUSINESS WIRE)--SqlDBM today announced that it has been selected as winner of the “Database Modeling Solution of the Year” award in the 4 th annual Data Breakthrough Awards program ...

Devart releases dbForge Tools SQL Server 7.1, featuring extended compatibility with SQL Server 2025, SSMS 21 Preview, and Windows Server 2025. PRAGUE, CZECH REPUBLIC ...