As companies deploy agentic AI, CIOs and data leaders face a critical mandate: deliver governed, trusted data that AI systems can understand.

AI governance has relied heavily on the assumption that powerful models are deployed by major technology companies through cloud-based platforms. This centralized structure has enabled control points, ...

Discover how TELUS Digital operationalizes AI – turning pilots into production with modular tools, governance, and real ...

Validation-scientist-turned-data architect Lalitha Amarapalli is one of the few who do. Across sixteen years she has drafted ...

The EU’s Data Union Strategy aims to boost AI-friendly data use, streamline rules, and expand global data flows. But GDPR ...

Dr. Saurabh Garg reiterated that the selected problem statements align with MoSPI’s vision for future-ready statistical ...

The City of Casey has endorsed its revised Good Governance Framework, reinforcing its commitment to transparent decision-making and strong ...

As world leaders returned from the once-a-decade International Conference on Financing for Development in Seville, they ...

When you design agentic AI with governance at the core, you stay ahead of risk and avoid reactive fire drills.

By Ridwan Sorunke Africa stands at the threshold of a new technological frontier. As global interest in Artificial ...

F5 has released its 2025 State of AI Application Strategy Report, revealing that only 2% of global organizations are highly ...

Finally, there’s the global pressure. Europe has passed both the GDPR and the AI Act, establishing a strong regulatory model.