Trango Tech announced an update outlining how mobile applications are increasingly serving as the primary interface for applied artificial intelligence, reflecting a broader shift in how AI ...

Data integration aims to provide a unified and consistent view of all enterprise wide data. The data itself may be heterogeneous and reside in difference resources (XML files, legacy systems, ...

Middleware vendors are now jockeying for a piece of the new enterprise integration architecture market, commonly called EAI. This month, we discuss what EAI is, what it means for the business, and how ...

Several years ago, Daniil Bratchenko, one of the first employees at DataRobot, the AI and data science platform, observed that enterprises adopting software-as-a-service (SaaS) apps experienced a ...

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 ...

(1) Translating data and commands from the format of one application into the format of another. It is essentially data and command conversion on an ongoing basis between two or more incompatible ...

Data integration can seem like a never-ending quest as organizations try to combine and access data from disparate applications and sources. But as we move beyond relational as the only DBMS type that ...

MEMS are primarily transducer systems that can control or sense chemical, optical, or physical quantities, such as fluids, acceleration, or radiation. A MEMS device/transducer possesses an electrical ...

In 2018, Warren Buffett said he'd invested in Apple for two reasons: its brand and its ecosystem. We all know the Apple brand, but what did he mean by "ecosystem"? Essentially, "ecosystem" means ...