1. AI Dataset Approval Workflows: In many enterprises, dataset approvals used to take three weeks as teams manually reviewed ...

Pharma teams don't just need more data — they need a unified data picture to make faster, better decisions. In this session, the featured speakers will show how Norstella breaks down siloes by ...

This is crucial, especially for data mesh, where everyone becomes a data user, and metadata, where everyone should access ...

The ever-changing status around AI, from an unsettled regulatory picture to a brisk pace of innovation, is keeping many corporations ...

The pace of technology disruption, the realities of what AI can and can't deliver will be coming into sharper focus as we go into 2026,” EY’s Myles Corson said.

The ADB’s Brief No. 361 emphasizes that adopting the SDMX standard can transform fragmented national data systems into ...

“The better we apply the principles of intelligent governance, the more we can increase political stability, trust, and willingness to participate, which is an important part of democracy. But ...

For AI success, organizations must align strategy, governance and talent across the enterprise, building trust, breaking down ...

In the desert sands of Saudi Arabia's deep northwest, thousands of workers are building a futuristic city that the kingdom ...

BSA's agenda details policies across Talent, Infrastructure, and Governance to accelerate AI adoption. Compares risk-based ...

Risk management executives can no longer treat artificial intelligence (AI) as a passing fad. According to a report from ...

Effective cloud governance can transform risks into opportunities and drive innovation, but enterprises need top-down commitment.