Continuous intelligence delivers real-time analytics and insights into what's happening and an understanding of the dynamic interactions that occur throughout a company's digital infrastructure.
Because of the more open and dynamic nature of universities and colleges, the need for CI is even greater than that of some businesses.
In this week's real-time analytics news: GE Healthcare teams with AWS to deliver AI solutions to hospitals, Corning intros high-performance indoor cellular solutions, and more.
As AIOps use cases expand and evolved, Research in Action GmbH suggests a more apt meta-market descriptor is Artificial Intelligence Predictive Analytics (AIPA).
Continuous intelligence (CI) platforms can be used to collect telemetry data from various sources, perform analysis on that data, make inferences about the data, and provide real-time insights that help businesses understand what’s going on.
In this week's real-time analytics news: Sumo Logic adds new capabilities to its observability solution, multiple open-source projects move forward, and more.
Continuous intelligence (CI) is a strategic capability that integrates key technology elements to deliver real-time guidance on operational problems.
AIOps and observability can help enterprises roll out their hybrid and multicloud strategies.
In this week's real-time analytics news: A new benchmark that measures how quickly a neural net can process data on low-powered devices (such as many IoT and edge devices).
A survey of AIOps implementers shows broad success even in the early stages of the concept's evolution.