To integrate operations as smoothly as possible following mergers and acquisitions (M&A) is always a challenge. Businesses want to keep revenues flowing and to cause as little disruption to customers ...

In an ideal world, data exists within a single, comprehensive framework that empowers data agility, speed, trust, and ease of access. Standing in the way of this technological haven are legacy ...

Seventy percent of healthcare payers and providers are actively implementing generative AI technologies, moving beyond experimental use cases into enterprise-wide deployment. That's according to the ...

As power companies build hybrid projects combining solar, wind, battery storage and hydrogen assets, they face the challenge of integrating dozens of different control systems and data types from ...

Security and governance are the biggest obstacles businesses face when trying to integrate data from various sources, according to recent research from Nexla and Ascend2. The report was based on data ...

AI and data integration are no longer siloed entities; they are dynamic forces converging to reshape industries. AI, with its ability to analyze vast datasets and derive actionable insights, can ...

In this special technology white paper, Why Machine Intelligence is the Key to Solving the Data Integration Problem for the IIoT, you’ll uncover the reasons why machine intelligence is the key to ...

Customer data integration (CDI) unifies data from multiple sources, creating a complete and accurate view of customers. It’s how your favorite online store knows exactly what you’re looking for—even ...

Managing data complexity is a challenge that faces every equipment rental company, but the emergence of the platform era will facilitate harmonization that delivers actionable insights. The transition ...

Bit Stew Systems, developer of a platform that solves the data integration challenge in the Industrial Internet of Things (IIoT), today announced the launch of version 10 of their MIx Core™ platform, ...