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 ...

It’s often said that knowledge is power, and that’s never been more true for businesses than in today’s digital age. Technology tools enable businesses to collect a wealth of information from ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

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.

Top-notch data operations are essential for enhanced decision-making, operational efficiency, and fueling AI. Here’s how IT leaders are evolving their data management strategies to make the most of ...

Healthcare organizations have long grappled with the complex challenge of managing provider data and networks. The process has traditionally been laden with manual verification, paper-based workflows ...

More than 400 million terabytes of digital data are generated every day, including data created, captured, copied and consumed worldwide. By 2028 the total amount of global digital data is forecast to ...

This section breaks down different topics required for the planning and preparation of data used in research at Case Western Reserve University. In this phase you should understand the research being ...

Pure Storage’s recent launch of its Enterprise Data Cloud reignited debate around storage and data management. Pure claims its EDC addresses the management of growing volumes of data in a complex ...