Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

Rogers et al. (2017) carried out a study on this theme, but focused on investigating only the adoption of Big Data Analytics technology, but this study is broader and investigates the adoption of six ...

Implementing AI in healthcare isn’t just about choosing the right tools—it’s about making them work in the real world.

With AI at the data level, you can use that model to do a lot of the work, and then apply vector search on top of that.

While AI may be the catalyst behind the recent wave of data company M&A, the market was ripe for consolidation.

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

A merger between the Office of Strategic Analytics and Insights and the Office of Data Transformation will integrate cross-functional data experts as part of the new Department of Strategic Data and ...

Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

For the UK to realize its AI ambitions, both public and private sectors must prioritize building robust data foundations. Entity resolution, contextual intelligence, and graph analytics provide the ...

The Data Rescue Project has saved over 1,100 public datasets from over 80 government offices as of late June, when it ...

The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and ...

This acquisition is expected to provide key assets for Qualcomm’s expansion into data centers, where growth in AI inferencing is driving demand for high-performance, low-power computing.