When most people hear about governance trends, they often get bored quickly. They imagine boring bureaucrats stuck in endless meetings. But here’s the twist: policy is the operating system of society.

The amount of data created annually is expected to more than double between 2022 and 2026, according to IDC. The vast majority of that data will be unstructured, and will jump to more than 221,000 ...

Data governance is the process of managing the availability, usability, integrity and security of the data in enterprise systems, based on internal standards and policies that also control data usage.

Artificial intelligence governance is the legal framework for ensuring AI and machine learning technologies are researched and developed with the goal of helping humanity adopt and use these systems ...

Example 1: An administrator wants a new program implemented quickly, the demand for speed resulting from budgetary concerns or institutional culture. To ensure a quick process, a small, select group ...

Modern governance necessitates careful, data-informed decision-making, considering stakeholder impact, and fostering trust ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

AI governance is moving into the decision itself, defining where AI can act, where people step in and who is accountable for the outcome.

Aaron is a chemical engineering student who does freelance writing on the side. Despite his ties to the scientific community, he has always had a passion for journalism after almost a decade of exp ...

As more organizations embrace AI, it is vital to document the policies and procedures that govern its use. Here are seven questions that define effective AI governance. “You can use whatever AI tool ...