GenAI in Financial Services and Banking (BFSI) Ft. Arghya Mandal
It can be hard to get a realistic idea of Generative AI today amidst all the buzz and hype in the market around large language models (LLMs) and the vast potential they are promising. To cut through the hype and understand their real impact, it is essential to evaluate generative AI's current capabilities and limitations based on evidence from production use cases.
In this episode of "ProjectPro Industry Talks," our Co-founder, Binny Mathews, converses with Arghya Mandal, who is currently the Growth Leader for Cloud, Data, AI, and GenAI of North East at Accenture with professional experience of over 20 years, with the last 7-8 years focused mainly on data analytics and AI. He shares first-hand experiences working with large organizations to implement GenAI in banking, financial services, and insurance sectors. He provides a realistic perspective on Gen AI, discrediting the notion of it being a "magic wand" while highlighting practical use cases achievable today. Join Binny and Arghya as they discuss GenAI use cases, data quality and integration challenges, the role of guardrails and governance for responsible Gen AI usage, and much more!
For more details on this episode, visit our dedicated podcast page - https://bit.ly/3BEyWSE
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TIMESTAMPS
00:00 Introduction of Arghya Mandal
01:45 GenAI Use Cases
06:15 Transforming Financial Services Models
10:45 Guide from Client Brief to Deployment
12:05 Use Case of GenAI in Banking
15:21 Use Case of Gen AI in Retail
19:35 Training Talent for Problem Analysis & Solutions
21:28 Off-the-Shelf SAS vs. Tailored Client Solutions
24:27 Choosing the Right GenAI Tech Stack
27:50 GenAI Project Evolution from POC to Deployment
32:28 LLMs for Structured vs. Unstructured Data
36:50 Potential applications of Generative AI
49:05 Conclusion
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