Unstructured Data Meetup South Bay Edition
This is an in-person event! Registration is required in order to get in.
Topic:
What we’ll do:
Have some food and refreshments. Hear three exciting talks about unstructured data and generative AI.
5:30 - 6:00 - Welcome/Networking/Registration
6:05 - 6:35 - Talk 1
6:35 - 7:05 - Dinesh Chandrasekhar, Challenges in Structured Document Data Extraction at Scale with LLMs
7:05 - 7:35 - Talk 3
7:40 - 8:30 - Networking
Tech Talk 2: Challenges in Structured Document Data Extraction at Scale with LLMs
Speaker: Dinesh Chandrasekhar
Abstract: All businesses have to deal with unstructured documents at some level. Some have to deal with them at scale. While an LLM-powered approach to this problem is most certainly head and shoulders above traditional machine learning-based approaches, it is not without its challenges. Top concerns being accuracy and cost, which can really begin to hurt at scale.
In this talk, we will look at how Unstract, an open source platform purpose-built for structured document data extraction, solves these challenges. Dealing with 5M+ pages of structured content extraction per month, Unstract uses various techniques to attain accuracy and cost efficiency.
Topics Covered
- Introduction to Unstructured Data Processing
- Processing Document Data
- Extraction Difficulties
- Unstract to the rescue
- Demo
When:
Nov 13, 2024
5:30PM
Where:
This is an in-person event. Registration is required to get into the event. Registration in advance will close 2 days before the event.