AUSTIN, TEXAS
October 9-10, 2024
WEB DATA EXTRACT SUMMIT 2024
Experience the 6th Annual Web Data Extract Summit’s Main Event on demand! Watch as data pros and developers dive into the latest in web data extraction, all from Austin, Texas—now available to stream anytime.
24 Speakers
Top data experts from diverse fields
15 Key Sessions
Exploring cutting-edge trends and strategies.
800+ Attendees
Data enthusiasts joining us in person and virtually
Extract Summit2024
Two days of sessions and parties.
DAY 1 — October 9, 2024
Extract labs
A full day of technical sessions and an epic coding contest for developers.
DAY 2 — October 10, 2024
The MAIN EVENT
Hundreds gathered to hear industry leaders share web scraping stories and strategies—now you can watch it all on demand!
october 10th 2024 | Austin, Texas
10th October 2O24
9:15 AM
Harnessing the Power of Large Language Models for Advanced Data Engineering and Data Science
Neelabh Pant | Senior Manager Data Science @ Walmart
Learn how Large Language Models (LLMs) automate data cleaning and preprocessing. Discover methods for handling missing values, outlier detection, data normalization, and feature engineering to enhance efficiency and accuracy.
10th October 2O24
9:45 AM
Web Data Extraction Mastery: Real-World Implementations and ROI-Driven Success Stories
John Fraser | Founder @ PartsAsap
Learn practical strategies for implementing scalable web data extraction. Gain insights into strategic planning, innovation, and operational efficiency to maximize ROI and drive organizational growth.
10th October 2O24
10:15 AM
A Practical Demonstration of How to Responsibly Use Big Data to Train LLMs
Joachim Asare | AI/ML Engineer & Master’s in Design Engineering @Harvard University
Explore ethical methods for extracting and leveraging big data to train LLMs, focusing on privacy, transparency, and fairness throughout the AI development lifecycle.
10th October 2O24
10:45 AM
How We Transformed Zyte's Data Business with Cutting-Edge AI Technology
Iain Lennon | CPO @ Zyte
Learn how we leveraged a composite AI approach of in-house trained models and open-source LLMs to revolutionize our data operations, and learn to apply these insights to transform your own data processes.
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