Deep Komati launches book on practical AI in banking

Machine Learning


The book covers a wide range of banking applications, including credit risk and loan underwriting, fraud detection, customer analytics and personalization, algorithmic trading, natural language processing, anti-money laundering, deep learning, model deployment, and responsible AI. This book is structured to help readers understand both the technical fundamentals and the practical realities of implementing these systems in a business environment.

“This book was written to make AI in banking more practical and easier to understand for the people responsible for building, evaluating and leading these systems,” said Deep Komati. “While there is no shortage of talk about AI, financial institutions need evidence-based guidance on how to apply AI in a useful, scalable, and responsible way.”

This book is aimed at a wide range of professional readers, including data scientists, machine learning engineers, software architects, banking professionals, product leaders, and risk and compliance stakeholders. Rather than introducing AI in banking as a purely theoretical subject, we focus on practical applications, implementation approaches, real-world examples, and production considerations.

The core topics covered in this book are:

  1. Fundamentals of Machine Learning for Banking
  2. Credit risk modeling and underwriting
  3. Fraud detection and real-time monitoring
  4. Customer analytics and personalization
  5. Chatbots and NLP applications
  6. Anti-money laundering analysis
  7. Model deployment, monitoring, MLOps
  8. Bias, fairness, privacy and responsible AI in financial services

The book ultimately presents AI in banking not as a standalone technology trend, but as part of a larger transformation in the way financial institutions operate, compete, and serve customers. Its central message is that long-term success with AI depends not only on model performance, but also on thoughtful implementation, regulatory awareness, and alignment with real-world business outcomes.

AI and Machine Learning in Banking: Models, Systems, and Real-World Financial Applications is available now on Amazon.



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