The Strategic Roadmap for Gen AI & AI Implementation in Banking
Speakers
Session Description
This intensive masterclass provides a definitive roadmap for implementing Generative AI and traditional AI within the Banking, Financial Services, and Insurance (BFSI) sector. Moving beyond the hype, this session focuses on the "how-to" of execution—guiding working executives through the transition from isolated pilots to enterprise-grade adoption. We will dissect the implementation lifecycle: starting with data readiness and high-impact use case selection (Customer Experience, Fraud Detection, Risk Modelling), navigating the complex regulatory landscape (DPDP, RBI guidelines), and establishing a scalable AI architecture. Attendees will leave with a strategic blueprint to integrate autonomous agents and LLMs effectively while mitigating operational risks.
Key Takeaways
- Strategic Blueprint: Comprehensive roadmap tailored for banking legacy systems
- High-Value Use Cases: Identify and prioritize deployments in personalized banking, automated compliance, and credit risk assessment
- Governance & Compliance: Master the framework for Responsible AI, ensuring data privacy and adhering to BFSI regulatory standards
- Future-Ready Architecture: Understand the tech stack required to support Generative AI agents and decision intelligence in a secure environment
Who Should Attend
- Chief Technology Officers (CTOs) & Chief Information Officers (CIOs)
- Heads of Digital Transformation & Innovation
- Banking Product Managers & Owners
- Chief Risk Officers & Compliance Leads
- Data Scientists & AI Engineers in Fintech
- BFSI Business Leaders & Strategy Consultants
- Senior Executives in Operations & Customer Experience