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 ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

The symbiosis between data governance and cloud computing is apparent to any organization with significant cloud investments. The cloud has a plethora of resources that enhance data governance, which ...

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 ...

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