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 ...

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

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

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 ...

“Knowledge is power,” and today’s businesses have access to more knowledge, in the form of digital data, to power their growth than ever before. Establishing a data-first corporate culture is key to ...

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 ...

The most underestimated category, and the one with the most long-term potential, is clinical-driven AI, where the model is ...

WASHINGTON, May 9 (Reuters) - U.S. banks face significant data and modeling challenges in predicting the impact of climate change on their loan books, the Federal Reserve said on Thursday after its ...

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, ...

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.