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How Decision Intelligence Integrates Forecasting, AI, and Data into Complex Decisions

Author

Listed:
  • Lorien Pratt
  • David Roberts
  • Nadine Malcolm
  • Brian Fisher
  • Katie Barnhill
  • Daniela Jones
  • Michael Kudenov

Abstract

Decision Intelligence is the culmination of a variety of established and emerging disciplines that, when integrated, improve decision making. To support and improve high impact decisions, Lorien Pratt and colleagues introduce the Causal Decision Diagram (CDD) as a generalized multidisciplinary integration framework. The authors share a detailed use case in the agricultural industry, which demonstrates this framework's value for forecasters and, in return, the prominent role forecasters can play in contributing to decision intelligence using CDDs. Copyright International Institute of Forecasters, 2024

Suggested Citation

  • Lorien Pratt & David Roberts & Nadine Malcolm & Brian Fisher & Katie Barnhill & Daniela Jones & Michael Kudenov, 2024. "How Decision Intelligence Integrates Forecasting, AI, and Data into Complex Decisions," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 72, pages 52-57, Q1.
    • Handle: RePEc:for:ijafaa:y:2024:i:72:p:52-57
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