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Continuous Intelligence (CI) is an analytics approach to real-time digital services. Businesses increasingly have access to real-time data from products, services, applications, and infrastructure. Traditionally analytics systems would collect and aggregate data from many sources, store the data in a centralized repository, and then analyze it. But centralized collection of data tends to be slow and expensive, and the analytic insights derived from centralized systems often are dated by the time they became available.
Thejesvini Sukumaran, described in a Medium article that “CI marries real-time data and artificial intelligence to give rise to advanced analytics that can answer your business queries on the spot. Continuous data visibility, faster resolution times, continuous insights, and productivity are just a few key benefits.”
The growing use of the cloud, streaming software and sensor data available from the Internet of Things create a solid foundation for accelerated adoption of Continuous Intelligence. Gartner predicts that by 2022 more than half of new business systems will include Continuous Intelligence to enable real-time decision making.
Kateryna Dubrova, M2M, IoT & IoE Analyst at ABI Research, said that “the concept of CI will be consolidating in the IoT analytics market, enabling more advanced analytics in near-real-time. in 2020, ABI Research predicts greater adoption of CI technologies, which will elevate IoT data analytics beyond traditional operational level (maintenance and control), but we will also observe a greater impact on strategic planning and organizational change.”