Powering Recommender Systems for Next Best Action with Large Language Models
LLMs can enhance recommender systems, drawing insights from large volumes of data to guide next best
Dattaraj Rao, Chief Data Scientist at Persistent Systems, is the author of the book “Keras to Kubernetes: The Journey of a Machine Learning Model to Production.” At Persistent Systems, Dattaraj leads the AI Research Lab that explores state-of-the-art algorithms in Computer Vision, Natural Language Understanding, Probabilistic programming, Reinforcement Learning, Explainable AI, etc. and demonstrates applicability in Healthcare, Banking, and Industrial domains. Dattaraj has 11 patents in Machine Learning and Computer Vision.
LLMs can enhance recommender systems, drawing insights from large volumes of data to guide next best
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