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AI Powered Uplift Modeling and Stream Forecasting in Music Industry

Data Science Conference via YouTube

Overview

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Explore how artificial intelligence is transforming the music industry through advanced uplift modeling and stream forecasting techniques in this conference presentation. Learn practical applications of AI-driven analytics that help music labels optimize promotional spending and predict listener engagement patterns. Discover how top music industry professionals leverage uplift modeling to identify which marketing campaigns will be most effective for specific audience segments, moving beyond traditional A/B testing to understand true incremental impact. Examine real-world examples of stream forecasting models that predict how songs and albums will perform across different platforms and demographics. Understand how these innovative analytical tools enhance decision-making processes, improve profitability, and provide competitive advantages in the rapidly evolving music market. Gain insights into the technical approaches and business applications that are reshaping how music companies approach marketing, promotion, and strategic planning through data-driven methodologies.

Syllabus

AI Powered Uplift Modeling and Stream Forecasting in Music Industry | Maksim Karyagin | DSC MENA 25

Taught by

Data Science Conference

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