
Gaining Competitive Advantage with Machine Learning and GenAI
About this episode
In this podcast episode, Otkrist Gupta, VP of Research and Development at LendBuzz, talks about the process he utilizes to evaluate machine learning (ML) models and handle the ever-changing landscape of ML with his team. He also highlights the core role of ML in the creation of LendBuzz’s proprietary financial scoring model to assist individuals often underserved in the lending market and explains how continued innovation via in-house development of models has maintained the company's competitive advantage. Gupta provides insights into various projects his R&D team has worked on, from financial to computer vision models, and discusses the balance of research, development, and product delivery. He underscores the importance of having well-defined metrics, continuous model improvement, and keeping current with technology trends. Although not directly involved in measuring particular models' profit and loss impacts, Gupta notes that all team members indirectly contribute to the company’s overall performance.
Highlights:
01:50 Understanding the Lendbuzz Business Model
03:37 Exploring the Role of Research and Development in Fintech
07:35 The Intersection of Machine Learning and Product Development
13:35 The Process of Building and Evaluating ML Models
19:49 The Impact of Machine Learning on Competitive Advantage
23:20 The Relationship Between Machine Learning and Profit & Loss
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