How to Select a Unified Real-time Platform
When selecting URP products, organizations must start with a clear understanding of the project goals, business requirements, and more. Here are some points to …
Delivering nearly instantaneous decisions based on rules and predictive analytics; software generates decisions within a business process and reveals insights by analyzing data flowing through processes in real time to create actionable intelligence.
When selecting URP products, organizations must start with a clear understanding of the project goals, business requirements, and more. Here are some points to …
Interoperability may be the key to enabling real-time supply chain end-to-end visibility, enhanced collaboration, and heightened customer
URPs are motivated by escalating business demands for smarter operational applications that can leverage up-to-the-second data to make faster and better …
IoT is widely used in InsurTech, playing a crucial role of real-time data analytics in modern insurance
The maturation of predictive and real-time intelligence in manufacturing is a natural progression along the path to a data-centric approach to
A look at the four kinds of software that perform real-time analytics on event streams and when to use
Quick answer: No, you don’t always need data in motion to operate in real time. However, some high volume/low latency real-time systems do use data in motion …
In this week's real-time analytics news: Cisco and NVIDIA will team up to deliver optimized infrastructure for demanding AI workloads.
Wearables and other sensors designed to collect data about humans are finding new applications across a number of fields.
Make your transactions more profitable, more effective, and cheaper to handle by adding real-time decisions to your mainframe