NASHVILLE — Product life-cycle management technologies that were once mainly used in engineering environments are increasingly being applied by manufacturers in areas such as collaborative development ...

"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 ...

As enterprises rush to embrace Generative AI (GenAI), many quickly realize that technology isn’t the first hurdle, it’s the data. In my experience, launching any AI initiative, especially ...

An MDM program offers a competitive advantage by creating a two-way data clearinghouse with automation and tools to manage data that all your systems can access Until now, as a developer, you’ve been ...

Communication among members of a product development team is crucial to successful data management. A team that communicates well will, hopefully, create better products more quickly. It sounds so ...

Data management and integration demands continue to increase as organizations are faced with more data flowing in from a greater variety sources than ever before. At the same time, there is the need ...

SaaS engineering tools can help relieve burdens that arise from shelter-in-place mandates—and could improve post-COVID systems with real-time data management. During the first few weeks of the ...

Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...

Big data is continuing to proliferate at organizations, this time spurred by AI and machine learning within enterprise software tools, followed by advancements in software for managing unstructured ...