By creating and maintaining a unified metadata repository, the data foundation provides centralized governance and control ...

This is why AI adoption is falling short at the executive layer. While analysts can still find value in assistance with query writing and data analysis, leaders tend to lose confidence soon if results ...

Learn what AI governance is, core principles, and how to build an AI governance framework that manages risk, identity, SaaS access, and continuous oversight.

Government agencies have gotten rid of gender identity and sexual orientation data elements from over 360 data collections ...

GoodData delivers governed semantics, grounded knowledge, guided behavior, and full observability for reliable AI analytics.

As companies race to adopt agentic AI to spur innovation and gain efficiency, building the right enterprise data infrastructure has become a critical component of success.

Roy Kamp and Noémie Weinbaum write the CJEU's SRB judgment highlights that identifiability is not a theoretical property, but a practical one, meaning compliance is now something that happens in ...

The Personal Data Protection Ordinance (PDPO) 2025 marks a turning point in Bangladesh’s digital governance, exposing how Meta’s push to lower the child-age threshold pits corporate profit against chi ...

Data access empowerment operating models enable public health leaders to make timely, informed decisions with trusted intelligence and faster insights.

When artificial intelligence advanced from merely analysing data to creating it, digital governance changed fundamentally. Previously, managing ...

Most executives understand that bad training data can compromise the AI output, but many don't understand how to identify or address this issue.

AI is no longer a lab experiment in financial services. It is being used to improve conversion rates, reduce cost to serve, ...