For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered ...

Overview: Text-to-SQL simplifies queries but can misinterpret data structures and phrases.Ensuring up-to-date schema info and providing examples improves accura ...

An expert urges Nigeria to create a unified national crash database to curb accidents, citing fragmented data as a major ...

SAP is building what it calls a “database for AI”, with India driving both core engineering and the company’s fastest-growing ...

This creates a continuous feedback loop where proven AI insights evolve into new operational rules, strengthening reliability ...

Most companies today are building their AI strategy around structured data because unstructured data is operationally hard.

As AI projects move from the realm of technologists to the business environment, major organisations including Telstra and Fonterra share how they are tackling legacy data issues to prepare for agenti ...

With its "Flightpath 2050" strategy, the European Commission has outlined a framework for the aviation industry that aims to ...

With Azure HorizonDB, Microsoft introduces a cloud-native PostgreSQL database with up to 3072 vCores, VS Code Extensions, and ...

Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk assessment, achieving systematic evaluation and preventive ...

Since it was unveiled in 2020, Google DeepMind’s game-changing AI tool has helped researchers all over the world to predict ...

The revealing findings of a nationwide mapping of Greece’s active faults and how they reshape seismic-hazard assessments.