Zia Ahmad
Data Scientist @ Turing
Zia is an educator and data scientist with over 7 years of experience in the data-driven solutions and web technologies industry. His career began as a backend web developer, which helped him gain a deep understanding of web architecture. Naturally, his interest evolved into a strong focus on web scraping and data extraction.
Currently, Zia works at Turing as a Data Scientist, contributing to advanced initiatives involving large-scale data systems. He has also authored over 40 online courses on platforms such as Udemy, Codefinity, Udacity, and AI Sciences, with many of them focusing specifically on web scraping, data science, and AI applications. Zia brings a practical, hands-on perspective to the world of web scraping, making complex concepts both accessible and actionable.
Learn more about Zia's presentation
The AI-Scraper Loop: How Machine Learning Improves Web Scraping (and Vice Versa)
Explore the powerful feedback loop between web scraping and artificial intelligence. While scraped web data is essential for training machine learning models, AI techniques are increasingly enhancing the efficiency, accuracy, and scalability of web scraping itself. From intelligent content extraction to anomaly detection and adaptive crawling, the fusion of these two domains is reshaping data pipelines. This session will share practical insights, real-world examples, and future possibilities at the intersection of scraping and AI.
In this presentation, Zia will explore:
How AI techniques (like NLP and computer vision) can enhance the accuracy and resilience of scraping pipelines;
Ways in which scraped data powers real-world machine learning applications, including sentiment analysis, recommendation systems, and trend forecasting;
Evaluation techniques and metrics to assess the performance of AI-enhanced scraping systems and ensure optimal data quality;
How feedback loops can be established where scraped data improves AI models, and AI models, in turn, optimize scraping strategies.
Meet the speakers
Coming from different industries and backgrounds but united in common passion and aspirations, these web scraping experts will share their experiences and answer your questions.
