As the financial services industry evolves, banks are under increasing pressure to deliver faster, smarter decisions—while managing legacy infrastructure, complex regulations, and rising customer expectations. This ebook from Infocepts and Dataiku provides a practical roadmap to help financial institutions modernize their data and AI strategies, accelerate innovation, and drive operational efficiency.
Through real-world examples from global banks like Standard Chartered and Rabobank, the guide highlights how forward-thinking institutions are replacing outdated tools with scalable, governed AI platforms—empowering both data scientists and business users to generate impact across the organization.
It dives deep into key AI use cases in banking, including churn prediction, fraud detection, risk modeling, and process optimization, offering step-by-step guidance on how to identify, prioritize, and operationalize AI initiatives that align with business goals and regulatory requirements.
You’ll also gain insights into the pros and cons of different organizational models for scaling AI—centralized, decentralized, and hub-and-spoke—and how successful banks strike the right balance between agility, governance, and compliance.
Download the guide to explore proven strategies for implementing AI in banking—securely, responsibly, and at scale.
Want to see how we’re helping leading financial institutions accelerate their AI journey? Explore our work in banking and financial services.
