Yet, with data increasingly spread across different locations, file systems, databases, and applications—let alone across on-prem, cloud, and multicloud environments—the continuing challenges of data ...

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 ...

Data integration as a formal practice gained prominence in the late 20th century with the rise of relational databases and the need for a more efficient way to manage and analyze data. It has come a ...

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 the video presentation below, Alex Clark, Chief Software Architect & Founder at BitStew, talks about Industrial Internet of Things (IIoT), its challenges, and opportunities. There will be 50 ...

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 ...

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 ...

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 ...

An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud detection in digital environments. By combining machine ...

Long-term VBC success hinges on robust data integrity and seamless integration across clinical, claims, government and personal health data sources.