Commentary - If you’re like a lot of CIOs, you’ve been in this business a long time and have pretty much seen it all. From mainframe to mid-range to client-server to ASP and everything in between.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Modern applications rely on multiple data sources: on-premise legacy applications, cloud applications, databases, modern cloud-based SaaS solutions, IoT devices and third-party APIs. The integration ...

Enterprise integration is the process of connecting disparate systems and applications within an organization in order to streamline business processes. This process allows for data exchange between ...

There is no denying the fact that cloud-based software and computing services are now accepted as the norm. This change has profound implications on how software applications are architected, ...

Here is one way to look at distributed ledger technologies (DLT) and blockchain in the context of integration evolution. Over the years, businesses and their systems are getting more integrated, ...

Enterprise applications are software applications that are designed to be used by businesses and organizations to manage and automate various business processes, such as financial management, human ...

Enterprise Application Services (EAS) designs, implements and supports UB’s enterprise applications and campus data access and business intelligence systems. The unit works directly with campus ...