The promise of GenAI is often hindered by a fundamental and frequently overlooked prerequisite—robust data governance.

Enhance your data strategy with effective data quality and data governance practices. Learn their differences and how to integrate the strategies successfully. Image: Dmitry/Adobe Stock Data quality ...

Currently, the field of data governance is presenting three core trends: First, cloud-native architecture is becoming mainstream, with more and more solutions being built on cloud platforms to meet ...

AI and data are feeding each other — build the right strategy and you’ll unlock smarter decisions, better agility and a real edge.

Data is a vital asset for modern organizations, providing insights that drive strategic decision making. And the amount of data created, consumed and stored is only increasing. Without proper ...

This case has been included in the "Data Governance Industry Practice White Paper," providing peer enterprises with ...

The modern enterprise landscape demands sophisticated data solutions that seamlessly blend engineering excellence with ...

This guide provides a strategic framework for government leaders to align cloud platforms, high-quality data, and AI ...

AI projects fail from bad data and weak governance. Having bet the house on agents, Salesforce is going to keep working to ...

Thai bank trades data chaos for ML-ready pipelines because nobody has time for 3 AM "why is production broken?" alerts.

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...

A unified user experience is becoming essential for accessible and reusable data products. Learn how to improve data product ...