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

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 ...

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

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

Certain 2025 model year BMW 330i models have been recalled. The electrical connection between the starter-generator and ...

The 2025 Nissan Murano is affected by a recall pertaining to one or both front brake caliper assemblies, which may be weak ...

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 ...

Samsung's 2026 OLED TV lineup has surfaced through entries in the company's parts database, revealing model names and screen ...

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

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

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