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.

Data modeling uses abstraction to better understand and represent the nature of the flow of data within an enterprise-level information system. The types of data models include: Conceptual data models ...

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 ...

The real differentiator is the ability to deploy a dynamic, enterprise-wide system of context that fuels AI with real-time, trusted information.

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

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 ...

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 ...

It looks to be a strong release. Benchmarks, technical specs, and early tests suggest the model delivers on flexibility, efficiency, and raw ...

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 ...