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World Congress 2025 • Aug 20, 2025 • Session details

Scrape, Train, Predict: The Lifecycle of Data for AI Applications

Vidas Bacevičius

Public datasets are too stale to fuel modern LLMs. Learn how engineers are using AI-driven adaptive parsing to bypass anti-bot walls and build resilient data extraction pipelines.

Scrape, Train, Predict: The Lifecycle of Data for AI Applications thumbnail

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Matching moments

5:54 min

The technical evolution of modern web scraping infrastructure

Chris Heilmann Chris Heilmann +4 · LIVE

3:35 min

Impact of AI data scraping on open web content

Léonie Watson · A11y + AI

2:54 min

Technical workflow for generating self-healing scrapers

Ariel Shulman Ariel Shulman +1 · World Congress 2026 Europe

2:14 min

Assessing the future of AI in web performance optimization

Perf + AI

49 sec

Role of web scraping in training language models

Jan Curn Jan Curn · World Congress 2025

1:35 min

Hypocrisy in artificial intelligence data scraping practices

Chris Heilmann Chris Heilmann +2 · LIVE

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