AI in Financial Decision Making
eBook - ePub

AI in Financial Decision Making

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

AI in Financial Decision Making

About this book

Written by experts who have trained global audiences in finance and designed real-life solutions, this book provides exactly what financial decision-makers need: a survival kit for disruptive times.

The increasing use of AI has posed challenges and brought benefits at organizational and individual levels. However, financial decision-makers are often not equipped with the necessary skills and may even feel threatened by the speed at which AI is automating the decision-making process. This book takes a balanced look at how AI and ML are applied across operations, finance, and risk management. It is not meant to turn finance professionals into coders; instead it shows clearly how these tools can be used to tackle real business problems. This will help financial decision-makers actively engage with projects involving the implementation of ML tools in their organizations. Beyond simple ML tool identification, the book goes one step further and provides representative codes that the reader can use by tweaking information to make it relevant to their own situation. To keep up with the rapid developments in AI and ML, this book is accompanied by a website where tools and codes will be regularly updated as standards change.

Anyone involved in financial decision-making will find this book to be an invaluable resource, whether a CFO, finance director, management accountant, budget officer, auditor, strategic planner, or early career professional.

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Yes, you can access AI in Financial Decision Making by Arif Ahmed,Veena Hingarh,Arnaaz Ahmed in PDF and/or ePUB format, as well as other popular books in Business & Business Strategy. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2025
eBook ISBN
9781040649305

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. 1 Introduction
  7. 2 Financial forecasting and budgeting
  8. 3 Cost management and optimization
  9. 4 Performance measurement and management
  10. 5 Strategic planning and decision support
  11. 6 Inventory and supply chain management
  12. 7 Capital budgeting and investment analysis
  13. 8 Customer profitability and segmentation
  14. 9 Risk management and compliance
  15. 10 Conclusion
  16. Index