When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

Enterprise enthusiasm for generative AI tools is no longer speculative - it is systemic. A Microsoft-IDC study shows adoption climbing from 55 percent in 2023 to 75 percent in 2024, while Gartner ...

In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...

This update is part of our AI FAQ Series. Learn more at our AI Law Center. 1. What is AI governance? AI governance refers to the policies, processes and practices created by organizations to guide the ...

Responsible organizations understand that privacy governance is essential for the systematic and compliant management of personal data and for maintaining customer and stakeholder trust. In a world ...

Enterprises are not short on AI ambition. What they lack is a governance model that keeps pace with how AI is actually being ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

AI is changing private markets, as it won’t excuse weak data but amplify it. If the underlying data is inconsistent, poorly ...

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...

Dr Gulzar Singh explains how algorithmic decision-making in banks has outpaced the institutional structures designed to govern accountability, oversight, and escalation ...