Transforming BFSI with AI/ML - Impetus

Transforming BFSI with AI/ML

Tuesday, April 16th 2024 | 10:00 am PT/1:00 pm ET

Redefine customer experience, automate processes, improve revenue, and curb fraud with AI/ML on AWS

In today’s hyper-connected world, banking, financial services, and insurance (BFSI) firms are at the forefront of leveraging artificial intelligence and machine learning (AI/ML) to meet evolving customer expectations and combat a myriad of challenges. From meeting customer expectations to safeguarding sensitive data against cyber threats, AI/ML is indispensable for BFSI’s journey toward innovation and resilience. 

Join this insightful fireside chat, where industry experts will delve into how AI/ML empowers BFSI firms to harness the full potential of data, propelling them into the future. Discover strategies for developing, testing, and operationalizing AI/ML for smarter business forecasting, faster business processes, and personalized customer experiences to increase attraction and retention.

The session will cover the following: 

  • AI/ML trends and the unique challenges faced by BFSI firms  
  • How organizations can deploy cloud-based AI/ML to gain a competitive advantage from customer experiences 
  • How data science can address top BFSI challenges such as security and fraud detection 
  • How to make AI/ML the cornerstone of enterprise digital transformation, driving more use cases leveraging predictive analytics, anomaly detection, MLOps, and intelligent process automation  
  • Strategies, best practices, and recommendations for making the most of AI-enabled cloud data platforms for financial services 
  • Real-world examples illustrating how BFSI firms have achieved transformational goals with data science

Speakers:

Yi Wang

Sr. AI/ML Manager – Global Financial Services, AWS

Dr. Ravishankar Rao Vallabhajosyula

Senior Director – Data Science, Impetus

David Stodder

Senior Research Director, TDWI

Choose a lab aligned to your Data & AI journey

Address your desired use case across critical analytic dimensions

  • Explore architecture options with experts

  • Ensure strategic alignment of business and technology

  • Architect an ideal solution for a pressing problem


  • Validate new or refactor existing architecture

  • Develop a prototype with expert guidance

  • Establish a roadmap to production


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