Python, GenAI & Agentic AI for GCC Banking Analytics is a practical, engineering‑focused guide designed for data teams, AI architects, and digital transformation leaders across the GCC banking sector. Authored by Sachin Das, this edition bridges Python‑based analytics, Generative AI, and Agentic AI architectures to help banks modernize decision‑making, automate intelligence workflows, and build scalable AI ecosystems.
The book delivers hands‑on frameworks, UAE‑bank‑aligned examples, and production‑ready patterns for risk analytics, fraud detection, onboarding automation, credit intelligence, payments optimization, and regulatory reporting. It empowers banking professionals to move from traditional BI to AI‑driven, autonomous analytics systems that deliver measurable operational impact.