Governance failure always shows up the same way: the gap between what leaders believe they are doing and what the data can ...

When asked about their main challenges in adopting AI over the next two years, C-suite leaders cited data issues as their top ...

Attorneys at Morgan Lewis discuss issues in e-discovery and information governance as companies adopt innovative data sources ...

A strong data governance foundation is essential for higher education institutions to deploy trustworthy, effective ...

Data governance is a critical foundation for any organization that creates, manages, or uses data. Data must be managed in a way that is consistent with the organization’s data definition, data ...

AI readiness rests on three foundational pillars: a modern data ecosystem, robust data governance and a strong data-driven ...

AI demands adaptive data governance: real-time automation of policies, lineage and AI-driven monitoring ensures dynamic compliance for modern enterprises. Data governance has evolved from a compliance ...

Data governance is necessary for compliance with current regulatory expectations for data integrity in pharmaceutical R&D and manufacturing organizations. A company should consider whether it has a ...

Artificial intelligence-driven transformation in retail means autonomous agents are moving into operations and new data and ...

Vietnam is entering the data age with bold ambitions to turn raw data into a powerful engine for sustainable growth.

Every retail initiative, whether it’s AI, personalization or supply-chain transparency, depends on trustworthy customer data.