Improved AI accuracy with diverse data: Model accuracy relies heavily on data quality and diversity. Federated learning ...

Iowa CIO Matt Behrens explains how his team spent the past two years completely reorganizing how the state runs IT, with a ...

The National Data Library (NDL) is a key element of the government's AI Opportunities Action Plan. At its heart the ...

In today’s fast-evolving digital landscape, managing vast volumes of data efficiently has become crucial. The growing complexity of data ecosystems calls for ne ...

Training AI models used to mean billion-dollar data centers and massive infrastructure. Smaller players had no real path to ...

Reference acknowledges the value of Privacy Enhancing Technologies in advancing AI TRiSM efforts ...

Healthcare is one of the most data-sensitive industries. As IoT-enabled devices and cloud-based platforms proliferate in ...

IBM has evolved the watsonx.data platform to address roadblocks in scaling generative and agent-based AI, especially the need ...

In the era where LLM driven intelligence prevails, enterprise data platforms face emerging challenges from LLM application and AI development. To name a few, ...

Artificial intelligence (AI) and machine learning (ML) are revolutionizing enterprise operations, creating smarter, more ...

An internal NHS Confederation email acknowledged that 'many colleagues will have concerns' about Palantir's inclusion ...