CEO Sridhar Ramaswamy said enterprise AI is shifting attention away from model benchmarks and toward the quality, governance ...

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 ...

To optimize success, take a federated approach to your data governance that includes identifying stewards with intention and ...

Artificial intelligence is moving rapidly from experimentation into enterprise operations. As organizations focus on increasingly capable models and autonomous ...

Agentic AI brings a new level of urgency to the trust problem and shifts an organization’s risk profile entirely.

AI governance is integral to the core architecture of responsible AI deployments. For enterprises deploying machine learning (ML) or generative AI (GenAI), robust governance is a prerequisite for ...

Many organizations have formal data governance programs in place, yet they struggle to translate policy into business impact. That’s often because data governance is still viewed as a back-office ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Why your data estate, not your AI model, will decide who winsBy Marilyn de Villiers for Mint GroupJohannesburg, 14 Aug 2026 Gunther Wucherpfennig, Executive: Data Analytics and AI, Mint Group. The ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...