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Structuring Data for Scalable AI Applications

Data Science Conference via YouTube

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Overview

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In this 29-minute conference talk from DSC EUROPE 24 in Belgrade, Mikhail Rozhkov tackles the fundamental challenges of structuring and managing unstructured data for Computer Vision and Generative AI applications. Discover innovative techniques for scalable data management that enhance accessibility and maintain data integrity. Learn how modern tools can be integrated into AI workflows to improve model training and inference capabilities. Explore methodologies for transforming raw data into structured, actionable datasets that drive innovation in CV and GenAI projects. Understand how organizations can optimize their data infrastructure to effectively support advanced AI applications. The presentation was delivered on November 21st as part of the Data Science Conference Europe 2024.

Syllabus

Structuring Data for Scalable AI Applications | Mikhail Rozhkov | DSC EUROPE 24

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Data Science Conference

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