❌The future of decision-making in business is with DI, not AI.
✨DI or Decision Intelligence combines data, processes, rules, machine learning, optimization, and several other techniques to make and execute decisions based on a holistic view of business decisions.
Why Decision Intelligence or DI?
Because DI…
🔹Uses explicitly defined decision model: This will guarantee the accuracy and transparency of the decision algorithms and outcomes.
🔹Leverages CompositeAI model: By combining multiple techniques from various fields such as businessrules data machinelearning computational logic etc., can ensure the right technique is used for different parts of a problem
🔹Orchestration's capability spans departments, teams, functions, data, and processes. It pulls together all resources, such as data, services, and IT systems, for autonomous execution or can put humans in the loop (HITL) when needed.
💡The application of DI goes beyond specific industries and specific use cases. In insurance financialservices health government banking logestics supplychain you can expect to:
1️⃣ Streamline business operation: Industry-specific use cases such as underwriting, credit decision, claim processing, resource allocation, billing etc., can leverage automated decisions
2️⃣ Personalization at scale: Engage with your customers and prospects and enhance and adjust the offers in real-time based on their goals and objectives to ensure loyalty and satisfaction
3️⃣ Put AI in Decision-Making: Building and deploy “Decision Agents” agenticai that are capable of following the explicit decision models for critical operations in banking finance insurance and government with the guardrail from businessrules and policies
➡️To learn more about Decision Intelligence, visit https://lnkd.in/ghzZ3VvM
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Published December 10th, 2024 at 07:30 am
