The arrival of DeepSeek’s R1 large language model (LLM) shocked the global AI ecosystem, causing many in the U.S. and Europe to reevaluate how we approach AI development. While LLMs from large ...

It’s a time when large datasets are being leveraged for real-time analysis. Tried-and-true approaches to cobbling together technologies and policies to achieve workable data governance and security ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

IBM has plans to integrate its watsonx.governance and Guardium AI Security offerings to help organizations integrate artificial intelligence (AI) into their daily operations and to get security and ...

Neural networks cannot extract individual data without rolling back the entire model, which undermines competitive advantage.

Shadow AI is spreading across enterprises. Rather than fight it, organizations should see it as a catalyst for stronger AI ...

The transformation demands new approaches to identity, attribution and control that account for both human users and ...

The shift to service as software will bring learning curve advantages, software-like marginal economics, and winner-take-most dynamics to all companies across every industry, not just tech vendors. We ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...

AI is no longer an emerging trend—it’s a full-fledged business necessity. Organizations are integrating artificial intelligence at unprecedented speeds, unlocking new efficiencies and competitive ...