The Adoption Edge
Practical insights on data adoption, analytics enablement, and AI governance - written for the leaders responsible for turning data investment into business results.
The EU's Evolving AI Governance Strategy
As governments race to regulate artificial intelligence, the European Union has long positioned itself as the world’s standard-setter. Yet in late 2025, the b...
How NIST’s AI Risk Management Work Pushes AI Risk Management Forward
Summary
The rapid expansion of generative AI, complex AI supply chains, and emerging attack techniques has put unprecedented pres...
How Local and Sector-Specific AI Governance Is Taking Off
As national and international AI laws continue to evolve, a different story is unfolding on the ground: cities, medical associations and sect...
Why the EU Delayed High-Risk AI Rules
The European Union’s decision to postpone enforcement of the Artificial Intelligence Act’s high-risk system requirements marks a major shift in the bloc’s digita...
How Cybersecurity Frameworks are Adapting to AI Risks
Artificial intelligence has moved from experimentation to core infrastructure across sectors. As organizations increasingly embed machine learnin...
Risk-Based Frameworks for AI in Healthcare
Artificial intelligence has become one of the most promising tools in modern healthcare, offering the potential to improve diagnostics, personalize treatmen...