I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

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.

Most data governance models weren’t built for AI. They were designed to ensure compliance, not to support real-time decision-making. They helped manage audits and reports but were never intended to ...

Artificial intelligence is no longer a “nice to have” in cybersecurity – it’s embedded everywhere. From detecting suspicious activity to responding to incidents in real time, AI now sits at the heart ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Work AI leader Glean today announced its Open Security and Governance Partner Program, embracing an open approach that allows customers to choose from best-of-breed ...

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

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 ...