Data underpins business success. As a result, more organizations are making substantial investments in data management strategies. A survey by HFS Research and Syniti found that 65% of respondents had ...

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.

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 ...

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 ...

Success with a multi-tenant architecture requires the close alignment of design, use case, and underlying technology. Let’s dive into the key design patterns, their benefits, and their challenges.

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 ...

In the rail industry, asset management has historically been synonymous with the management of physical assets by dedicated teams of highly experienced practitioners and localised ownership of the ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...

Bank of America’s DataConnect platform provides a range of data management capabilities designed to help users process and manage data throughout their business lifecycle. This environment provides an ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.