Government and enterprise’s adoption of big data and streaming technologies demand a new category of continuous intelligence (CI) applications to inform critical decision making. These CI applications fuel today’s situational awareness, operational efficiency, and risk management initiatives. Many organizations invest in a multifaceted set of event stream processing, real-time analytics, decision support, and business process integration technologies that are the foundation of a unified real-time platform (URP) architecture. Attempting to build CI applications with a fragmented set of URP tools leads to significant development, resource, and performance costs. Organizations need a scalable, integrated platform that simplifies URP management and expedites CI application delivery. This approach increases development efficiency, fortifies predictive analysis, and optimizes analyst, data scientist, and engineering resources.
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