AI may be the visible goal, but data architecture is what determines whether that goal can actually be achieved.

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation across asset servicing. Through re-engineering — which usually involves ...

In the first quarter of 2025, nearly 60% of DBTA subscribers told us they were actively researching GenAI with LLMs, including RAG and knowledge graphs. On top of this, when asked which technologies ...

Scaling agentic AI demands a strong data foundation - 4 steps to take first ...

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...

Time flies in the world of data analytics and artificial intelligence (AI). Seemingly every day, new technologies rise, new use cases emerge, and new frontiers unfurl themselves before a world that ...

Explores modern, modular data architectures for SecOps, moving beyond legacy SIEMs to reduce costs while improving visibility ...

The Automotive Edge Computing Consortium (AECC) today announced the release of its latest white paper, "Data-First Architecture for Data-Driven Automotive Service Development." Developed by the AECC ...

Data center architectures are undergoing a significant change, fueled by more data and much greater usage from remote locations. Part of this shift involves the need to move some processing closer to ...

By combining the efficiency of a Mixture-of-Experts architecture with the openness of an Apache 2.0 license, OpenAI is ...