Launching an AI initiative without a robust data strategy and governance framework is a risk many organizations underestimate. Most AI projects often stall, deliver poor...Read More The post Can Your ...

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 ...

Discover how Microsoft guides secure AI integration with governance, skills, and culture to reduce risks and accelerate ...

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 ...

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

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 ...

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 ...

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

Overview: Several companies are now shaping the SaaS security landscape, focused on posture management, data governance, identity threats, and misconfigurations ...