Decision Intelligence Platform (DIP)
Government and enterprise adoption of big data and streaming technologies demand a new category of decision intelligence (DI) applications to inform critical decision making. These DI applications fuel situation awareness to enhance contextual understanding, improve operational efficiency, and optimize risk management strategies. 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 decision intelligence platform (DIP) architecture. Attempting to build DI applications with a fragmented set of UDIP tools leads to significant development, resource, and performance costs. Organizations need a scalable, integrated platform that simplifies DIP management and expedites DI application delivery. This approach increases development efficiency, fortifies predictive analysis, and optimizes analyst, data scientist, and engineering resources.
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