When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

Understanding data is a prerequisite to gaining control of any enterprise. But understanding is only useful if that knowledge can be shared and transmitted. Effective data modeling should be a ...

Reimagining Enterprise Data for the AI EraCAMPBELL, Calif., Aug. 27, 2025 (GLOBE NEWSWIRE) -- Acceldata, a leader in data observability and agentic data management, today announced the General ...

Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.

CEO Sridhar Ramaswamy envisions autonomous AI agents handling the grunt work, freeing data teams to focus on strategy.

Model Execution & Data In-Warehousing: Finally, as data keeps increasing and analytical outputs are needed in shorter timeframes, a big challenge to financial institutions is the timeliness of ...

ACORD, the global standards-setting body for the insurance sector, has released a new model aimed at enhancing the standardisation and exchange of data across the industry's enterprise systems. The ...

Having a ‘vision’ is not enough. Enterprises need clear objectives, solid data, and a design plan with built-in evaluations ...