Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In the ever-evolving landscape of data management and utilization, it's crucial to address ...

As AI adoption accelerates, only strong data governance can ensure trust, compliance, and value at enterprise scale.

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...

Derek Steer is co-founder and CEO of Mode Analytics, the most collaborative platform for business intelligence and interactive data science. Good data governance requires meeting security and ...

Data governance encompasses the people, processes, and technologies used to guide how data stewards and data consumers interact with university data assets. Data governance provides guidance on how to ...

Facing an existential crisis, enterprise architecture must abandon outdated dogma for AI-driven adaptive governance to ensure survival and deliver value. In “Data trust and the evolution of enterprise ...

State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

From regulatory needs to data stewardship, discover the issues (and solutions) concerning data governance. Poor data governance can lead to a myriad of issues that include data interpretation ...

To understand why MLOps is necessary, consider that machine learning models are actually software. Typically, the models are deployed as REST-based Web services and they go through a development ...