Continuous Intelligence Needs Real-Time and Historical Data
Businesses must accommodate streaming analytics to support the dynamic workflows demanded in the era of continuous intelligence.
Real-time Analytics News for Week Ending February 20
In this week's real-time analytics news: Multiple IBM partnerships with end-user companies to speed digital transformation and
5 Predictions for Real-Time Analytics in 2021
Unlocking data with real-time analytics will help many companies become operationally responsive in everything they do, particularly when it involves their …
Real-Time Systems Development Challenges
Real-time systems can have development challenges due to their complexity, distributed nature, and the need for analysis to be done in
Real-time Location Systems Booming in Healthcare
Real-time location systems provide the supervisory tools administrators and healthcare workers need to ensure fast, efficient
Continuous Intelligence for 4G/5G Mobile Edge Computing
Combining compute, connectivity, and low latency communication to endpoints lets MEC-hosted applications analyze streaming data on-the-fly and respond before …
Sink or Swim: Transforming Boundless Data into Continuous Intelligence (White Paper)
Continuous Intelligence is the next big evolution in software architecture that helps organizations contend with the inundation of information while deriving …
Gaining Continuous Intelligence from Apache Kafka Event Streams (White Paper)
Continuous streams of events from “always on” infrastructure, applications and “things” hold the clues modern, data-driven organizations need to …
Why Enterprises Need Continuous Intelligence
Continuous intelligence transforms streaming data into streaming insights. Computing occurs continuously, with insights delivered in real-time driven by data.
5 Intelligence Gaps Enterprises Need to Close Now
In this era, where “data is the new oil,” successful companies will base their competitive muscle on their ability to use data effectively and