With a data governance program, you can track and trace data while ensuring that data remains compliant with industry standards. Data governance programs are getting more and more attention in the ...

Explore the use of data governance in AI/ML systems, understand the challenges and discover the top tools to ensure data accuracy, trust and compliance in AI systems. Data governance plays a pivotal ...

This article is based on a presentation at Womble Bond Dickinson’s AI Intensive: Playbook for Innovation and Risk Mitigation virtual summit, which took place May 20, 2025, along with additional ...

Coalition Health AI unveils governance playbook outlining eight key elements to guide responsible AI use in health systems.

Mithun A. Sridharan is the Founder & Managing Director of Think Insights, a thought leader in strategy, management, data literacy and more. Artificial intelligence (AI) governance has emerged as a ...

As healthcare data grows more complex and cyber threats become more severe, the need for strong data governance and cohesive, system-wide analytics strategies has never been greater. Yet even today, ...

Governance gap: AI adoption is outpacing oversight, with many enterprises scaling automation faster than control mechanisms. Operational grounding: Analysts warn that AI must understand business ...

Across industries from healthcare to finance, AI adoption is moving from rapid experimentation to building sustainable, accountable systems. New frameworks, governance models, and privacy safeguards ...