You're contacting media contact of this press release

Title: Saurabh Kakkar Unveils a Practical Guide to AI/ML in Banking

Louisville, Kentucky, United States, 2nd Oct 2026 - Saurabh Kakkar announces the release of Implementing AI/ML Systems for Credit Risk Analytics in Regulated Banks, a new AI & Machine Learning genre book designed for professionals working with credit risk, banking, data, technology, compliance and financial regulation. Published by Notion Press on August 11, 2026, the book is now available on Amazon.Bringing AI/ML Into Real-World BankingA comprehensive look at how banks might plan, develop, implement, and oversee AI/ML systems in regulated financial contexts can be found in Implementing AI/ML Systems for Credit Risk Analytics in Regulated Banks. Rather than treating AI as a simple technology experiment, the book focuses on how these systems can work within real banking processes.The AI & Machine Learning book covers the complete AI/ML lifecycle. It explores credit risk modeling, data engineering, feature engineering, model development, explainable AI, model validation, deployment and MLOps. It also explains why data quality, data lineage, monitoring, governance and audit readiness matter when AI is used for important financial decisions.Connecting Innovation With RegulationBanks must be able to defend and explain significant choices since they are subject to stringent regulations. The book links the development of AI/ML with important regulatory and risk-management requirements, including Basel III, CRR, IFRS 9 and SR 11-7.With a strong focus on regulated banking, the book also discusses fairness, bias mitigation, responsible AI, model governance & human oversight. It shows how financial institutions can work toward AI systems that are transparent, scalable, controlled and ready for review by management, validators, auditors and regulators.The book also look...

This press release is issued by King Newswire