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.

The AI revolution shows no signs of slowing down, transforming industries at an unprecedented pace. The fuel powering this change is high-quality, well-managed data. As companies adopt AI, the demand ...

The path to AI success is paved with data quality but laden with data security land mines. In past articles, I introduced an AI maturity model. The model describes how organizations seek to advance to ...

Success with a multi-tenant architecture requires the close alignment of design, use case, and underlying technology. Let’s dive into the key design patterns, their benefits, and their challenges.

Big data is continuing to proliferate at organizations, this time spurred by AI and machine learning within enterprise software tools, followed by advancements in software for managing unstructured ...

IBM Corp. today announced the launch of Guardium Data Security Center, a new platform that has been designed to help organizations address the growing data security risks associated with hybrid cloud ...

Data security is a prominent concern for organizations, and many are adjusting to a new way of thinking in order to address the rising number of leaks and breaches. London-based data management ...

While DevOps drives innovation and simplifies collaboration, it also comes with its own set of risks and vulnerabilities. Developers rely on Git-based platforms like GitHub, Azure DevOps, Bitbucket, ...

A week rarely goes by without a major data security breach. Recent news includes a breach impacting an energy company’s 8 million customers, another compromising the information on 450,000 current and ...