AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

As agencies move from pilots to production, success will depend less on model access and more on whether agencies have the right data, governance, and operational discipline in place. In pilots, ...

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 ...

As data volumes expand and organisations across sectors rely increasingly on digital assets, robust data governance strategies have emerged as vital mechanisms to ensure that information systems ...

By Dr. Kofi Anokye Owusu-DarkoData. Digital governance. Artificial intelligence. These terms appear together so frequently in policy documents, legislative debates, and governance discussions that ...

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

The AI wave has come on faster than most (including me) expected. Over the last decade, companies have slowly but surely started deploying AI. Return on Investment (ROI) was beginning to turn positive ...

Gowtham Chilakapati is a Director at Humana. He is an expert in enterprise data and AI systems with a focus on real-time analytics. With over a decade of experience leading large-scale data ...

Key questions to address in AI governance include what important regulatory compliance is needed, what data can be used in training AI models, what data must not be shared with public LLMs, and what ...