Decision Intelligence : Transform Your Team and Organization with AI-Driven Decision-Making / Thorsten Heilig and Ilhan Scheer.

Format:

Book

Author/Creator:

Heilig, Thorsten, author.

Scheer, Ilhan, author.

Language:

English

Subjects (All):

Decision making.

Artificial intelligence.

Physical Description:

1 online resource (241 pages)

Edition:

First edition.

Place of Publication:

Hoboken, New Jersey : John Wiley & Sons, Inc., [2024]

Summary:

"Dramatically improve your decisions with data and AI In Decision Intelligence: Transform Your Team and Organization with AI-Driven Decision-Making, a team of pioneering decision and AI strategists delivers a digestible and hands-on resource for professionals at every part of the decision-making journey. The book discusses the latest technology and approaches that bridge the gap between behavioral science, data science, and technological innovation. Discover how leaders from various industries and environments are using data and AI to make better future decisions, taking both human as well as business factors into account. This book covers: A demystifying behind-the-scenes peek inside how AI models, forecasts, and optimization for business challenges really work, and why they open up entirely new possibilities. A business-ready introduction to decision intelligence, exploring why traditional decision-making strategies are outdated and how to transition to decision-intelligence. The evolution of Decision Intelligence, coming from analytics and modern techniques like process mining and robotic process automation An examination of decision intelligence at the organizational level, including discussions of agile transformation, transparent organizational culture, and why psychological safety is a crucial enabler for new ways of decision-making in modern companies An overview of why (and where exactly) AI still needs human expertise and how to incorporate this topic in daily planning and decision making Decision Intelligence is essential reading for managers, executives, board members, other business leaders and soon-to-be leaders looking to improve the quality, adaptability, and speed of their decision-making."-- Provided by publisher.

Contents:

Cover Page

Title Page

Copyright Page

Contents

Figures List

Foreword

Acknowledgments

Introduction

Chapter 1 Decoding Decision-Making: Good and Bad Decisions

How to Measure the Quality of a Decision

The History of Decision-Making

The Impact of Technology on Business Decision-Making in the 21st Century

Regaining the Human Aspects

Chapter 2 Why Traditional Decision-Making Is Broken

The New (Corporate) Normal: An Increasingly Dynamic and Complex Reality with Uncertainties

Key Challenge: Increasing Environmental Complexity

Why Data Analytics and Business Intelligence Can't Keep up with the New Reality

Data Analytics and Business Intelligence

Process Mining and RPA

Decision Intelligence and Prescriptive Analytics

The Illusion of Human Control: Will We Ever Be Able to Make the Best Possible Choice?

Chapter 3 Decision Intelligence: Making Relevant Information Visible and Actionable

How to Shift Your Decision-Making Perspective

Take a Decision-First Approach

From Data to Knowledge

Leverage AI for Decision-Making

The Ultimate Partnership Between Humans and Machines

Finding the Balance Between Trust and Control

Three Levels of Decision Intelligence Autonomy

Chapter 4 The Business Value of Decision Intelligence

From Using DI as a Strategy to DecisionOS

Planning and Forecasting the Next Level

Making Decisions at Scale: The Ultimate DecisionOS

Step up the Operational Game: Recurring Use-Cases for Companies

Chapter 5 Decision Intelligence in Practice: Industry Examples of Applied DI

DI in Logistics

DI in Retail

DI in Pricing and Marketing

Dynamic Pricing on Price-Comparison Websites

Dynamic Pricing for Other Channels

Budget Mix Optimization for Direct Acquisition

Chapter 6 The Technology Stack: Applying AI Systems for Decision-Making.

Data, the Backbone to Leverage Business Value

Data Ontology: Context Is King

Data Maturity: Good Things Take Time (or at Least Effort)

Artificial Intelligence: Understanding the Patterns Behind

What Machines Can and Can't Do (Yet)

Which Types of AI Help in Decision-Making?

Let's Do the Math: How Does Prediction Really Work?

Can You Quantify Uncertainty? A New Era of Understandable AI Models

How Digital Twins Go Beyond Pure Predictions

Optimization Is Key for Better Business Outcomes

Iterations: The Core Logic of an Optimization

Decision-Making with Multiple Objectives: Pareto Optimum

Adding Uncertainties to Optimization: Risk versus Potential

Chapter 7 Decision Intelligence Organization: The Key to Unlocking the True Potential of Data-Driven Decision-Making

Culture Eats Intelligent Decision-Making for Breakfast

Ways of Working in DI Organizations

Agility

DevOps

Gung Ho

The Four Rs of the DI Organization

Cultivating a DI Organization: A Symphony of Skills

Recognizing Biases in Your Decision-Making Process

Chapter 8 Leading a Decision Intelligence Organization

Trust and Courage

The Neuroscience of Trust: Unleashing Team Synergy through Oxytocin and Dopamine

The Power of Courage: Overcoming Fear and Uncertainty

Transparency and Experimentation

The Force of Transparency: Fostering Trust, Belonging, and Informed Decision-Making

Embracing Experimentation: The Key to Innovation and Adaptability in DI Organizations

Psychological Safety: The Secret Ingredient for a Decision Intelligence Organization

What Is Psychological Safety?

Pathway to Enhanced Decision Intelligence: Psychological Safety Meets the 4R Framework

Embracing Failure and Forging Forward

Epilogue

References

Index

EULA.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781394185122

139418512X

OCLC:

1409604685