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

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

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

Access to historical process data is no longer just an operational necessity; it’s the foundation for advanced analytics, regulatory compliance, and successful AI implementation. Yet many ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms—driven largely by the explosive rise of GenAI and large language ...

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

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Our world is inherently decentralized. Over the last two decades, the ...

The evolution of generative AI (GenAI) necessitates a sophisticated architecture that integrates advanced language models with cutting-edge technologies for improved decision-making capabilities. This ...

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 ...