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 ...

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

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

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

In practice, retrieval is a system with its own failure modes, its own latency budget and its own quality requirements.

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

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 ...

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 ...