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Chirag Jain

AVP, Data Science and Insights – Augmented Intelligence Practice at Genpact

Chirag is core member of Data Science team with 14+ years of extensive experience in developing state-of-the-art advance analytics solutions leveraging machine learning and deep learning. He leads various projects across Genpact, in the space of natural language understanding, text mining and computer vision. He also leads the research initiative for Artificial Intelligence as part of Genpact’s Data Science group. He is an alumnus of IIT Bombay and IIM Ahmedabad with strong inclination towards industry-oriented research. He has authored many high impact conference, journal publications and  patents in the field of Statistical Modeling & Advance Analytics.

All Sessions by Chirag Jain

  • Day 1

    February 11, 2021

  • 12:45  - 13:25
    Damage assessment is a key component of automobile insurance claim process which is currently manually executed by third parties in general and involves huge amount of cost and resources. There has been many attempts to automate the process in industry but inherent challenges of image capture in uncontrolled environment make it difficult. The proposed solution uses state-of-the-art deep learning architectures and data enhancement approaches to generate millions of images to train the system. The solution is able to precisely segment out body parts and damaged areas at pixel level to generate robust insight for decision for total loss, repair-replace and cost estimates.
    TECH TALKS




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Chirag Jain