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 ...

Taking back control of data requires a commitment to developing enterprise-wide visibility into where data resides, how old ...

Many companies are choosing to build their own AI systems, rather than buy. Financial services firm Kapitus shares lessons learned.

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

Fast Company Executive Board member Deepti Kunupudi shares best practices for fairness, transparency, accountability, and privacy in AI.

AI agents are quickly becoming the new competitive frontier for UK businesses. Unlike static models, these systems have the potential to act almost as virtual employees - taking actions, handling ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

In March 2023, Elon Musk and Steve Wozniak, along with other technology experts, signed an open letter asking that training powerful AI models be stopped until stronger AI governance laws could be ...

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 Governance at ESF facilitates cross-unit collaboration to improve institutional data infrastructure and to ensure data integrity, security, and accessibility by establishing a set of data ...

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 ...