Large Language Models for Capturing Structured Data From Documents

Large Language Models for Capturing Structured Data From Documents
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Talk details

Title: Large Language Models for Capturing Structured Data From Documents
Speaker: Amit Juneja, [PhD (Maryland), MS (Boston), BTech (IITG)], CEO at Agile Data Decisions, Texas, US
Date: 16th December 2023
Time: 9:30 AM (IST)

Abstract:

We will first provide a short historical review of how we got to large language models. We will then present the work we have been doing at Agile Data Decisions, Inc. to build human-in-the-loop AI systems to capture accurate structured data from documents for analytics and enterprise decision making. We will provide examples from energy, mining, and government engagements that we have completed with human-in-the-loop AI technology.

Speaker’s bio

Dr. Amit Juneja is the CEO and Co-Founder at Agile Data Decisions, Inc (AgileDD) and a machine learning scientist by training. He has led the development of iQC, AgileDD’s flagship deep-tech AI platform for information extraction from documents. He is currently leading the rapid growth of the company and the adaptation of the platform across diverse sectors. Before starting AgileDD he led AI and full stack projects in various industry sectors including US defense, oil and gas, and automotive. He pursued his love of learning by obtaining a PhD in Electrical Engineering from University of Maryland College Park, MS from Boston University and BTech from IIT Guwahati. He obtained a top 0.1% ranking among data scientists at Kaggle, a global data science competition platform. He won Outstanding Technical Achievement Award at IBM twice while enabling enterprise customers with IBM’s AI technologies as a part of their cognitive sales team.

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