Decision Intelligence

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A01=Miriam O'Callaghan
Ai
Ai Capability
AI System
Augmentation Technologies
Author_Miriam O'Callaghan
autonomous agents
Bellman Equation
Business Decisions
Business Processes
Category=KJE
Category=KJMD
Category=KJMV5
Category=PBT
Category=UMB
Category=UYQ
Classical Ml
cognitive modelling
CSV File
Decision Intelligence
Decision Networks
Deep Learning
Deep Neural Network
DI System
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ethical ai applications
human machine collaborative decision making
intelligent decision support
Linear Pricing Function
Machine Learning
MDP
MDP Framework
MDP Problem
Ml Model
Monte Carlo Tree Search
MS Excel Solver
Multiple Linear Regression
Neruoscience
Neural Networks
NMPC
Online Algorithms
organisational analytics
Policy Iteration
Real Time Decision Support System
reinforcement learning theory
RL Algorithm
Virtual Patient Simulators
Water Loss Management

Product details

  • ISBN 9781032384108
  • Weight: 508g
  • Dimensions: 156 x 234mm
  • Publication Date: 26 Apr 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Revealing the limitations of human decision-making, this book explores how Artificial Intelligence (AI) can be used to optimize decisions for improved business outcomes and efficiency, as well as looking ahead to the significant contributions Decision Intelligence (DI) can make to society and the ethical challenges it may raise.

From the theories and concepts used to design autonomous intelligent agents to the technologies that power DI systems and the ways in which companies use decision-making building blocks to build DI solutions that enable businesses to democratize AI, this book presents an impressive framework to integrate artificial and human intelligence for the success of different types of business decisions.

Replete with case studies on DI applications, as well as wider discussions on the social implications of the technology, Decision Intelligence: Human–Machine Integration for Decision Making appeals to both students of AI and data sciences and businesses considering DI adoption.

Dr. Miriam O'Callaghan,
Associate Professor of Management,
William Woods University

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