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How AI in FinTech is Strengthening Risk Management-Interview with Mathangi, CDO at YUBI
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Fintech is very precision-oriented and has been very accurate. Such a domain can be transformed immensely by the Generative AI(Gen AI) tools available to automate financial institutions to analyze all the structured and unstructured data to offer better and more personalized services to customers, which was not possible before. To dive deep into how Gen AI has changed the landscape of the Fintech sector, we were joined by Mathangi Sri Ramachandran, Chief Data Officer at Yubi, on this latest episode of our AI Monetization podcast hosted by our co-founder Binny Mathews.
The podcast discusses how the AI hype over the last 18 months has forced organizations, especially in the fintech industry, to consider leveraging AI and data-driven decision-making seriously. It also focuses on the importance of foundational data and data instrumentation, which still needs to be improved in many organizations. They also discuss how AI is applied across the credit lifecycle—from discovering borrowers to portfolio management and collections. They also discuss the importance of data governance and regulatory compliance, so time into this episode to learn more about the importance of explainability and human-in-the-loop for high-liability decisions.
ProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing—ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production.
TIMESTAMP
00:00 Introduction
01:30 Changes in AI in the last 18 Months
03:40 Importance of Foundational Data
06:07 Leveraging Gen AI for Fintech
10:40 Top Fintech Problems and Solutions
12:40 Underwriting and Collections Use Cases
26:58 Traditional Approach Vs. Gen AI Approach
28:05 AI Models for Fintech's Diverse Use Cases
30:08 Fine Tuning AI Models
32:00 Role of RAG amid advances in LLMs
37:10 What is an Agent?
39:00 Evaluating AI-Driven Underwriting Models
The podcast discusses how the AI hype over the last 18 months has forced organizations, especially in the fintech industry, to consider leveraging AI and data-driven decision-making seriously. It also focuses on the importance of foundational data and data instrumentation, which still needs to be improved in many organizations. They also discuss how AI is applied across the credit lifecycle—from discovering borrowers to portfolio management and collections. They also discuss the importance of data governance and regulatory compliance, so time into this episode to learn more about the importance of explainability and human-in-the-loop for high-liability decisions.
ProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing—ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production.
TIMESTAMP
00:00 Introduction
01:30 Changes in AI in the last 18 Months
03:40 Importance of Foundational Data
06:07 Leveraging Gen AI for Fintech
10:40 Top Fintech Problems and Solutions
12:40 Underwriting and Collections Use Cases
26:58 Traditional Approach Vs. Gen AI Approach
28:05 AI Models for Fintech's Diverse Use Cases
30:08 Fine Tuning AI Models
32:00 Role of RAG amid advances in LLMs
37:10 What is an Agent?
39:00 Evaluating AI-Driven Underwriting Models
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