Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.

Data agnostic failures. "Data agnostic" platforms often fail to integrate complex systems and leave teams with inaccurate data and time-consuming workarounds. Essential data attributes. A complete, ...

How should companies address data management concerns? The first step in protecting data is to understand where it’s captured, stored and shared. The output of this identification stage should be ...

Expands key capabilities of iPaaS to include end-to-end data management Advances productivity with CLAIRE – metadata-driven Artificial Intelligence Scales enterprise-wide to manage complex hybrid data ...

Katherine Haan, MBA, is a Senior Staff Writer for Forbes Advisor and a former financial advisor turned international bestselling author and business coach. For more than a decade, she’s helped small ...

EDM is S&P Global’s flagship enterprise data management platform. It is used by more than 200 organizations on both sides of the industry to help them optimize their data use and streamline their ...

Contact management is crucial for businesses as it centralizes and organizes information about customers, partners and suppliers. By maintaining a well-structured contact management system, companies ...

Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...