AI in Financial Decision Making

AI in Financial Decision Making offers a comprehensive toolkit for those navigating the complexities of modern finance. With chapters dedicated to forecasting, budgeting, and risk management, this book equips financial professionals with the skills needed to leverage AI and machine learning effectively. Authors Arif Ahmed, Veena Hingarh, and Arnaaz Ahmed bring decades of experience to the table, providing practical insights that help bridge the gap between traditional finance skills and AI technology.

What You'll Learn

• Effective financial forecasting and budgeting with AI tools
• Strategies for cost management and optimization
• Performance measurement techniques in a digital age
• Strategic planning using AI-driven decision support
• Comprehensive risk management and compliance strategies

Who This Book Is For

This book targets financial decision-makers, including CFOs, finance directors, and strategic planners, who seek to integrate AI into their processes. It is suitable for practitioners at all levels, from early-career professionals to seasoned experts in finance.

What You Need to Know First

Familiarity with basic finance concepts is recommended, as the book builds on existing knowledge to introduce AI applications. No prior coding skills are required, as the focus is on practical implementation rather than technical development.

Why This Book

Unlike other finance books, this one combines theoretical foundations with hands-on tools, offering code samples and case studies that are regularly updated online. It emphasizes real-world application, ensuring readers can directly apply what they learn to their work environments.

What's Inside

Published by Routledge, this 343-page book spans 10 chapters, covering everything from strategic planning to supply chain management. Authored by Arif Ahmed, Veena Hingarh, and Arnaaz Ahmed, it provides a balanced view of AI's role in finance.