"A data product is a self-contained, ready to consume data solution that we organize to solve a specific business problem," said Aminul Khan, global head of marketing data strategy and data ecosystem ...

Data continues to grow and is poised to double in 2024. According to Forrester, unstructured data—such as social posts and customer feedback—represent less than a third of managed data today. With AI ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2024, 01:42pm EDT Jul 03, 2024, 03:29pm EDT MADRID, ...

LODESTAR Corporation has announce that LODESTAR Meter Data Management (MDM) includes integrated revenue protection functionality. This functionality enables energy providers to rapidly identify ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

EnterWorks, a leading provider of Master Data Management (MDM) and Product Information Management (PIM), is celebrating today that Gartner, Inc., a leading IT research and advisory firm, has ...

unstructured data is driving an increasingly important set of workloads, but existing storage suppliers’ file access storage is not fit to deal with backup and retention of that data. That’s the view ...

The traditional approach to managing data for business intelligence applications is through the use of a relational database for analytics, perhaps as the foundation of a data warehouse system – ...

Many of the IT vendors on this year’s Big Data 100 list are established companies, providing the data analytics tools, database software and IT infrastructure that make up the core of the big data ...

LONDON--(BUSINESS WIRE)--RIMES, the global leader in Managed Data Services and RegTech solutions for financial institutions, has been named the Best Data Management Product for the European Hedge Fund ...

Today’s data environments are highly diverse—residing on many platforms and requiring a variety of approaches to ensure data resiliency and availability. Delivering technology alone will not be enough ...