Connecting Divides in the Realms of Big Data and Artificial Intelligence
In the rapidly evolving world of technology, the intersection of web scraping and artificial intelligence (AI) is becoming increasingly significant. On July 11th, at the 10th installment of the WeAreDevelopers World Congress in Berlin, Vidas Bacevičius will shed light on this fascinating topic.
Vidas, who currently serves as a solutions engineer at Oxylabs, will present a talk titled "Scrape, Train, Predict: The Lifecycle of Data for AI Applications." His presentation aims to share practical knowledge on utilizing AI to enhance web scraping results.
Web scraping, a method used to extract data from websites, is a primary source for AI developers to gather training data. This process allows for the collection of specific data needed, and AI tools are used to check for signs of blocked content, parse data, and circumvent anti-bot measures.
One of the challenges discussed in Vidas' presentation is website blocking of web scrapers. Another challenge is the need to parse and structure unstructured web data. However, Vidas will also discuss how these challenges are being addressed, providing insights into the innovative solutions being developed.
Vidas' presentation at WeAreDevelopers World Congress will delve into the details of how AI and web scraping advance each other. His current role at Oxylabs involves bridging the gap between technical and client-facing teams to create custom solutions.
Prior to his role at Oxylabs, Vidas worked as a system administrator at the same company, demonstrating a long-standing commitment to the organisation. The usage of AI in web scraping is growing, with continued experimentation and innovation, and Vidas' presentation promises to be an enlightening exploration of this exciting field.
The presentation is scheduled for 3 pm on Friday, July 11th, at Stage 8 at WeAreDevelopers World Congress. Attendees will have the opportunity to learn from Vidas' expertise and gain valuable insights into the future of AI and web scraping.
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