### References The development and understanding of Decision Intelligence (DI) as presented in this framework are grounded in thought leadership and evolving industry perspectives from a variety of authoritative sources.…
The Evolution of Decision Intelligence: a timeline of the evolution from DDDM to DI
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AI in Business Decision Making: Discover how AI for business decision making transforms strategies, enhances accuracy, and empowers leaders to make faster, data-driven choices.
Learning: A Comprehensive Roadmap to AI-Powered Education: Artificial Intelligence (AI) is no longer just a tool for automation—it’s evolving into a self-learning entity capable of teaching itself and others. From…
Digital Twin for Decision Intelligence (DT4DI) is a framework that combines digital twins, artificial intelligence (AI) and decision intelligence to improve decision-making processes It utilises digital twins, which are virtual…
1. Knowledge Augmented Generation (KAG) The paper, “KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation,” authored by Lei Liang and collaborators from the Ant Group Knowledge Graph Team…
The Decision Intelligence Process as described in the book "The Decision Intelligence Handbook" by Lorien Pratt and N. E. Malcolm introduces a practical framework for improved decision-making, centred around the…
DISPs are companies or individuals that help organisations implement and benefit from Decision Intelligence (DI). DI combines AI, data analytics and decision theory to improve decision making. DISPs offer various…
Decision Intelligence (DI) is a framework that combines human and machine intelligence to improve decision-making outcomes for individuals, teams, and organisations. DI integrates AI, data science, and behavioural science to…