How Real-time Decisions at the Edge Avoid Critical Latency Problems
Many modern applications must push processing and analysis closer to where data is generated, bypassing traditional centralized models that are often hampered …
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.
Many modern applications must push processing and analysis closer to where data is generated, bypassing traditional centralized models that are often hampered …
Today, decisions need to be made in milliseconds and need to be made as soon as an event has occurred. Increasingly, there is a need for real-time analytics of …
A talk with KX CEO Ashok Reddy about the need for a single platform that includes processing, analyzing, building models, and visualizing to enable low-latency …
Whether you’re just beginning your real-time business initiatives or are well into it, having insights into the behavior and context of your real-time stream …
As the demand for real-time insights and decision-making continues to grow, the ability to process and analyze data instantly is becoming a competitive …
MIT CISR study: Companies operating in “real-time-ness” had more than 62% higher revenue growth and 97% higher profit margins than their slower …
In this week's real-time analytics news: FICO improves real-time decision-making with enhancements to its FICO Platform.
A real-time operating system (RTOS) offers a lightweight and efficient foundation for IoT devices. Additionally, it delivers real-time responsiveness and …
It’s not 2014 anymore. It’s 2024. Real-time analytics are available now. A decade of innovation has produced an Apache Pinot that is enterprise-ready and …
In this week's real-time analytics news: IBM announced the general availability of IBM StreamSets, a SaaS solution designed for real-time data