Successful AI implementation doesn’t depend on good technology; it requires strong data strategies and judgment to know when ...

It entails putting data objects, their relationships and the rules governing them into visual form. Because it calls on diverse expertise, data modeling is rarely a one-time solo effort.

To be truly enterprise-grade, AI must connect directly to the materials that power day-to-day work—contracts, invoices, ...

NEW YORK, NY / ACCESS Newswire / July 31, 2025 /PointFive today introducedData Explorer , a natural‑language query interface that gives customers hands‑on access to their multi-cloud data, enriched ...

Beyond SaaS | 1 In labs around the world, scientific teams are applying the software-as-aservice model to generate more data than ever before. And while that data has enormous potential to drive ...

Prepare for the Leap to Data Adaptation in the Engineering Flow In the Q&A that follows below, Semle shares more insights into contextualized data and how the use of agentic AI can transform ...

Balancing these priorities requires the right people to access the right insights to make rapid, data-driven decisions. When operations data is turned into contextualized insights, it becomes a ...

The contextualized data feature, alternatively, would enable business leaders to gain the context needed to drive impactful decisions by allowing them to view the operational data in Oracle Cloud ...