Decision Intelligence is useless without defining the level of intelligence and a path to achieving it in an enterprise setting.

⛔Decision Intelligence is useless without defining the level of intelligence and a path to achieving it in an enterprise setting.

Decision Intelligence is a thinking framework. “Decision Intelligence (DI) is a practical discipline that advances decision making by explicitly understanding and engineering how decisions are made and how outcomes are evaluated, managed and improved via feedback.” – Gartner

💢The challenge is that, on its own, it does not provide a practical guide on achieving intelligence at any level, and this is where Decision Intelligence Architecture comes into the picture.

Decision Intelligence Architecture is a model that allows organizations to incrementally approach intelligence that is secure, compliant, explainable, and unbiased.

💡There are multiple intelligence levels, which are based on Symbolic and Neuro-Symbolic #AI, so organizations can build systems and solutions and deploy them to the most critical business operations without worrying about hallucination, accuracy, or bias.

Why?

💣Open Decision Intelligence Platform, by nature, should be hallucination-free, should not rely on transformer architecture and #machinelearning at the core, and allow composite AI to leverage #rules #optimization #machinelearning #data #orchestration at different layers of intelligence.

#insurance #banking #financialservices #health #government

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Published June 1st, 2024 at 07:30 am