State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

Generative AI systems operate differently enough that some assumptions underpinning today's governance approaches warrant ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

Organizations need to be less trustful of data given how much of it is AI-generated, according to new research from Gartner. As more enterprises jump on board the generative AI train — a recent ...

Data governance must ensure users can trust data enough to move faster, make smarter decisions and build better products, ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

Prefer Newsweek on Google to see more of our trusted coverage when you search. When we speak of 'AI', our minds today gravitate towards the growing list of powerful models that providers like OpenAI ...

The MCP flaw reveals a systemic AI security gap, exposing enterprise systems to supply chain attacks and forcing a shift ...

Enterprise AI deployment increasingly operates under strict governance constraints, where privacy regulation, data provenance ...

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 ...