Decision Intelligence Transform Your Team and Organization with AI-Driven Decision-Making
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
John Wiley & Sons, Inc
[2024]
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009784596106719 |
Tabla de Contenidos:
- 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.
