Description

The book is structured into twelve focused modules, each addressing a crucial aspect of AI in decision-making:

1.  The Fundamentals of Al-Driven Decision Making: Introduction to the basic principles and technologies behind Al-driven decision-making.
2. Al in Strategic Business Decisions: Using Al to inform and enhance strategic business decisions and long- term planning.
3. Data-Driven Decisions: Al in Analytics: Leveraging Al to analyze large datasets for more informed decision-making
4. Al for Operational Decision Support: Integrating Al tools to support and optimize daily operational decisions.
5. Al in Real-Time Decision Making Scenarios: Utilizing Al for making instant decisions in dynamic, real-time environments.
6. Al and the Role of Predictive Analytics in Decision Making: Applying predictive analytics to foresee outcomes and streamline decision processes.
7. Bias, Ethics, and Fairness in Al Decision Making: Addressing the ethical implications and challenges of using Al in decision-making.
8. Al in Group Decision Making and Collaboration: Enhancing group decision-making and collaborative efforts through Al-driven insights and tools.
9. Al for Customer-Centric Decision Making: Employing Al to tailor decisions based on customer data and preferences.
10. Al in Crisis Management and Rapid Response: Using Al to manage and respond to crises effectively.
11. Al and the Future of Executive Decision Making: Exploring how Al is reshaping executive roles and decision-making processes.
12. Building a Culture of Al-Enabled Decision Making: Strategies for fostering an organizational culture that embraces Al in decision-making.