Innovation is transforming the technology landscape, particularly in data science and artificial intelligence. This article ...

This chapter provides details on how an organization can establish a governance program for DaaS. It suggests various governance policies and controls for tracking and monitoring overall user ...

Abstract: Enterprise governance is a decision‐making process addressing, in a “balanced” way, two main components: compliance and value creation. The problems, opportunities and challenges posed by ...

With the world being highly data-driven, data is an organization’s most valuable asset, so implementing a data governance framework is essential.

Modern enterprise frameworks have domain-driven data design at their core. Organizations enhance accountability and ... Innovative data architectures put reliability, compliance, and scalability at ...

A framework includes a variety of elements ... For example, Microsoft Purview Data Lifecycle Management is a scalable, cloud-based solution for enterprise data governance. Once a data team is formed, ...

Data governance encompasses the people, processes, and technologies used to manage access, usage, quality and security of the data assets within an organization. Effective data governance promotes ...

The Institutional Data Governance policy endorses the establishment of a data governance framework for managing the University’s institutional data ... Created or updated via use of a University ...

Operating in 70 different countries and 10,000 different cities, Uber has set up its data governance framework in a way that is almost fail-proof. Organizations should seek an integrated solution ...

PRNewswire/ -- e&, a global technology group, has collaborated with IBM (NYSE: IBM) to deploy a pioneering, end-to-end, multi ...

IBM (IBM) to deploy a pioneering, end-to-end, multi-model Artificial Intelligence, or AI, and Generative AI governance solution. Announced today at the World Economic Forum 2025 in Davos, this ...