Data is the foundation of modern business strategy and the fuel for AI applications. It drives decision-making, optimizes operations, and creates personalized customer experiences, enabling businesses ...

It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

Just as with LLMs, success in other frontiers of AI will require access to large volumes of high-quality data. That will ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations ...

The rapid rise of generative artificial intelligence like OpenAI’s GPT-4 has brought remarkable advancements, but it also presents significant risks. One of the most pressing issues is model collapse, ...

Uptime Institute predicts the data center industry in 2025 will face pressure over resource consumption, grid integration challenges, and AI infrastructure requirements. Data centers this year will ...