But managing, leveraging and realising the commercial advantage of data is also hard. If fully leveraging data is difficult enough, the bar is only getting higher – with AI changing the game.

While the market pressure is on, and companies are forging ahead with plans for AI and AI agents, the data for these projects may not be ready.

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

Google has launched Nano Banana Pro, also known as Gemini 3 Pro Image, says it is their "most advanced" image generation and ...

NEW YORK, Nov. 19, 2025 /PRNewswire/ -- BigID, the leader in data security, privacy, compliance, and AI governance, today ...

As they prepare to meet in 10 days on interest rates, Federal Reserve officials are very divided over a key question: How worried they ought to be about the U.S. labor market. “Some folks are less ...

Abstract: Voronoi diagram is commonly used to visualize geographical point dataset with a collection of plane-partitioned facets. As the size of the geographical point dataset increases, facets are ...

Merger creates $600-million-revenue data infrastructure company Fivetran CEO Fraser to lead combined company Deal highlights AI-driven data infrastructure demand Oct 13 (Reuters) - Data startups ...

Most scientific data never fuel the discoveries they should. For every 100 datasets created, around 80 remain in the lab, 20 are shared but rarely reused, fewer than two meet FAIR standards, and only ...