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Everything about Decision intelligence

Subfield of machine learning

Decision intelligence is an engineering discipline that augments data science with theory from social science, decision theory, and managerial science. Its application provides a framework for best practices in organizational decision-making and processes for applying computational technologies such as machine learning, natural language processing, reasoning, and semantics at scale. The basic idea is that decisions are based on our understanding of how actions lead to outcomes. Decision intelligence is a discipline for analyzing this chain of cause and effect, and decision modeling is a visual language for representing these chains. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Decision intelligenceA 5-minute orientation
  2. Skim a recent paper: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIInfluential work since 2022
  3. Pick up a classic book: Thinking, Fast and SlowThe most-reprinted book on the subject
  4. Read the landmark paper: Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision makingCited 2,596 times
  5. Go sideways: Management scienceA closely related topic
  6. Go sideways: Data managementA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics