Metadata management is reshaping how enterprises scale AI, shifting focus from raw storage growth to visibility, efficiency and control.

In most conversations, data and AI are inextricably linked. The narrative tends to be that organizations are not using AI well if they don’t have quality data from the field feeding into AI models.

Almost every business today uses cloud technology to store, share, and manage data in a digital-first economy. There are clear benefits to scalability, flexibility, and cost savings, but moving to the ...

Learn how BaaS offers cloud-based data protection against cyberattacks and outages. Discover its benefits including cost savings, efficient storage, and seamless disaster recovery in the cloud. Backup ...

Integrated data management takes time to achieve due to the complexity of aligning systems, processes and data governance across an organization. In return, it brings significant advantages, such as ...

Rust’s ownership and borrowing mechanisms guarantee memory safety at run time. Here’s how to use them in your programs. The Rust programming language shares many concepts with other languages intended ...

An innovation council brought together some of the nation’s largest health plans to raise issues and look for ways to improve complex processes, including credentialing and provider data management.

Data security posture management (DSPM) tools help security teams to look at the entire data environment and find shadow data, reducing the risk of data loss. Tracking down sensitive data across your ...

The Data department at Bloomberg is dedicated to advancing data management capabilities across the organization. This department plays a crucial role in ensuring data integrity, accessibility, and ...

Once a promising but mostly supportive tool, artificial intelligence now stands at the center of how businesses manage and interpret customer data. Its capabilities are reshaping industries, enabling ...

How Are Asset Managers Using Data Analytics? How Are Asset Managers Using Data Analytics? Trends to Watch in Data Analytics Why Data Analytics Initiatives Fail in Asset Management Today’s macro ...

Wealth management is moving from experienced-based advice to a data- and AI-powered approach that gives clients real-time insights and quicker answers while cultivating stronger trust in their ...