Articles

Data governance isn't plug and play: Organizations must select which data governance framework best fits their business goals and needs.

Data literacy training is a flexible learning process. Organizations can tailor training for their teams, but individuals can find educational resources to better their skills.

Don't wait until you have a metadata management problem to address the issue. Put a metadata management framework in place to prepare for potential issues.

ESG metrics measure performance on environmental, social and governance issues. Here's how they can benefit companies, plus tips on using them effectively.

Analytics governance might not seem exciting, but it can improve innovation and mitigate risks. It's also critical to responsible data management and analytics practices.

For enterprises looking to scale their AI projects, centralized AI hubs and governance can simplify integration, streamline operations and ensure consistency.

Organizations face various business risks related to environmental, social and governance issues. These are notable ones, with advice on how to manage them.

Prioritizing data curation, preparation and engineering -- rather than tweaking model architecture -- could significantly improve AI systems' reliability and trustworthiness.