To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

Taking back control of data requires a commitment to developing enterprise-wide visibility into where data resides, how old ...

The Libraries provide guidance for writing Data Management (and Sharing) Plans (DMPs or DMSPs), whether they are required as part of a grant proposal or written electively to support effective ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

Data governance defines the policies data management acts on. Learn more about data governance and data management and how they work together to develop business insights. Image: Gorodenkoff/Adobe ...

In 2023, the integration of generative AI (GenAI) into the constantly evolving landscape of data management emerged as a game changer, promising to reshape the way organizations interact with ...

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 ...