Decision intelligence platforms (DIPs) are software used to create solutions that support, automate and augment decision making of humans or machines, powered by the composition of data, analytics, knowledge and artificial intelligence (AI) techniques. DIPs must have collaborative capabilities for decision modeling, execution and monitoring. DIPs are used to design decision-centric solutions, explicitly model decisions, orchestrate decision execution flows, and evaluate and govern decisions and audit their outcomes. Optional features include logic-based techniques, machine learning, business intelligence, natural language processing, optimization, graph technology, AI agents, simulation, real-time event stream processing and multi-structured data preparation.
"Satisified Customer"
Platform works well and we completed the upgrade to version 5. We are using a tool to assist with the conversion of business processes. Would like to see an integrated performance tool.
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See All Alternatives"Flexible and Effective Business Rule Management: Breaking Down SMARTS"
It is an independent system that abstracts the generality of the decision engine. The advantage is that it's sufficiently comprehensive, covering over 95% of business rule management needs, with a sufficiently novel system UI and a more updated technical architecture compared to other decision engines. All functions including rule development, rule testing to decision deployment can be completed within the same system UI without switching. This greatly reduces our reliance on IT resources, making business rule iteration more flexible and efficient.
"Diving into Rainbird: Let SMEs Manage Their Own Knowledge"
Great partnership from Rainbird team. They work hard for us
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