To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

Many companies are choosing to build their own AI systems, rather than buy. Financial services firm Kapitus shares lessons learned.

Data and systems governance will promote effective decision making, enable the University to align resources and projects with strategic priorities, and support the involvement of key stakeholders by ...

Data is no longer just an enterprise asset, it’s the foundation of competitive advantage. In an era of machine learning and large-scale automation, companies are managing more data than ever, and ...

Overview: Enterprises are depending on AI-powered data governance software to ensure data quality, security, and compliance ...

School districts collect vast amounts and varieties of data, from student performance and attendance to staff information and operational systems. Ideally, this data can enable informed ...

Krishnam Narsepalle argues traditional credit systems must evolve into event-driven architectures for real-time risk ...

Big data software developer Alation has added a new set of data governance capabilities to its Alation Data Catalog system that the company says provides real-time data governance "guardrails" to ...

A recent case out of the Eleventh Circuit Court of Appeals foreshadows what will be one of the most important policies of the twenty-first century – how will America decide to govern its data? In Tan ...

The BFSI industry is a highly regulated sector wherein companies need strong data controls to comply with stringent standards ...

AI models drift just like cars wear down, and with GenAI, that drift is public, risky and constant — making real-time ...

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