💡What problems can you solve with Open Decision Intelligence Platforms?
At a very high level, a Open Decision Intelligence Platform builds #CompositeAI models that combine multiple techniques, such as #businessrules #machinelearning #data processing, in a unified view. Then, it orchestrates systems, processes, and humans around the decision model and produces outcomes.
💥Let's clarify what this technology should provide in a bare minimum because it is getting some traction, and from a simple rule engine (BRE) to #GenAI #LLM and #BI solutions, they all have become #DecisionIntelligence Platform.
👇To be able to solve all these problems in your organization, the Open Decision Intelligence Platform provides capabilities for
* Decision modeling (Decision Model and Notation DMN CL3)
* Advanced orchestration – Long-running orchestration with ability to connect data, systems and humans
* Situation-aware decisions in real-time
* non-generative Machine Learning training and integration
* Business rules modeling and execution (potentially multiple techniques and DMN CL3)
How does this help your organization?
✨You can solve a very wide range of problems using the Open Decision Intelligence Platform, but you can group them into three buckets.
1️⃣ Improving customer engagement in real time —This enables organizations to improve #cx in various ways, such as providing the right offer to customers based on their preference in #financialservices or creating the right experience for a student in #education and more. At its core, it is a decision model that combines business rules and machine learning to determine the next best action for a specific customer in a moment.
2️⃣ Streamlining operations — These are industry specific use cases in #banking #insurance #health #financialservices #government and more. Applying Decision Intelligence in these specific use cases will enable organizations to become more #agile. The aim is to reduce errors, improve efficiencies, and increase consistency of outcomes by removing noise. A big difference between streamlining operations from decision vs. process is that applying these from a decision viewpoint enables organizations to innovate and reduce time to market to market opposed to only put an order in place.
3️⃣ Making #AI work in decision-making — With all the hype and excitement around #LLMs #AgenticAI #GenAI, it is tough to put them into a decision-making area. They can improve productivity for some, but when it comes to a regulated environment that is related to business operations, you need a guarantee that they make the right choices. These software systems, similar to humans, should follow regulatory guidelines and policies in their decision-making, and they need to prove that's exactly what they did to conclude an outcome.
🚀To learn more visit 👇https://www.flexrule.com
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Published October 25th, 2024 at 07:30 am
