💣Decision Intelligence is the core foundation of intelligence in organizations, not #LLMs and #MachineLearning
Because LLMs are trained based on public data, it really is magical to see when you ask a question from a computer, and they can give you a somewhat mediocre answer. When it comes to proprietary data and domain expertise, they are clueless. There is no value for enterprise organizations without finetuning them.
Most of organizations will not finetune either because of data or efforts require and still they WILL get inaccurate and incorrect results not matter what. This is by product of the #LLMs design.
💥More than 30 percent of generative #ai projects will be abandoned after proof of concepts (POC) due to costs and their ROI. For instance, #GenAI models via data retrieval #RAG for a document search require at least a $1M upfront investment and 10k recurring costs per user/per year.
Intelligence organizations such #banking #financialservices #insurance #government need to enable them to adapt and adjust to changing environments, and this is what the Open Decision Intelligence Platform (DIP) brings to the table.
💡The #DecisionIntelligence Architecture defines 5 layers of intelligence in organizations, each of which is a prerequisite of the next layer.
1️⃣ Knowledge Core: This is the core foundation of organizational knowledge. It captures the domain terminologies, language, definitions, concepts, facts, and, more importantly, business decisions that organizations make and execute.
2️⃣ Intelligence Core: This layer is a Symbolic AI that allows the buildup of core intelligence that is 100% explainable, reliable, and safe to deploy to critical operations. Based on open standard Decision Model and Notation (DMN).
3️⃣ Expert Intelligence: On top of the previous layer, it enables organizations to build intelligence that interacts with their environment, senses events, captures data, and processes them through the Intelligence Core while ensuring the decisions' outcomes are optimized based on business objectives.
4️⃣ Cognitive Intelligence: It is based on Neuro-symbolic AI, which allows organizations to build a composite hashtag#AI model based on a previous layer that uses machine learning, deep learning, and symbolic reasoning to take advantage of the best of both worlds.
5️⃣ Autonomous Intelligence: This enables organizations to build intelligence on top of the previous layer, enabling systems to learn and adapt to changing and dynamic environments with a full capacity of reasoning, planning, etc., inherited from previous layers.
🚀Open #DecisionIntelligence Platform (#OpenDIP) enables enterprise organizations to achieve an intelligence using various techniques #businessrules #machinelearning #optimization #orchestration that delivers business value that is backed by Decision-Centric Approach® ensuring outcomes are aligned with organizations' objectives within the dynamic and regulated environments they operate in.
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Published August 1st, 2024 at 07:30 am
