The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey ...

Enterprise data is more complex, diverse and vital than ever. The only problem? The way we store and manage data has remained, by and large, the same. The prevailing data management strategy is to ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

AI and data integration are no longer siloed entities; they are dynamic forces converging to reshape industries. AI, with its ability to analyze vast datasets and derive actionable insights, can ...

Gone are the days when email reigned supreme in eDiscovery. The digital landscape is evolving rapidly and, within the next two years, diverse digital data will surpass email in prevalence. This shift ...

If you’re facing the challenge of integrating diverse data sources for effective security monitoring, it’s time to discover how seamlessly Microsoft cloud services integrate with Sentinel. In addition ...