In this hands-on webinar, we will tackle the challenge of predicting customer churn in subscription-based businesses using neural networks. Participants will learn how to collect and preprocess customer data, train a neural network model, and evaluate its performance. We'll also cover best practices for deploying the model into existing systems to deliver real-time churn predictions. The session includes an overview of neural network concepts and practical deployment strategies, followed by a Q&A.

Webinar Registration

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Agenda for the session

  • Predict customer churn in subscription businesses with neural networks
  • Learn data collection and preprocessing techniques
  • Train and evaluate a neural network model for churn prediction
  • Explore deployment best practices and join a Q&A session

About Speakers

Mr. Davood Wadi

AI Research Scientist - intelChain

Dr. Davood Wadi is an AI Research Scientist at intelChain. Before joining intelChain, he excelled as an AI researcher and pursued his Ph.D. at HEC Montreal, renowned globally for its academic excellence. His interest in applying modern technologies to data sparked his tenure as a financial analyst, where he started incorporating mathematical methods into mass psychology to understand investment patterns. Davood’s expertise and interests include developing new algorithms for AI and ML applications, computer vision, NLP, Meta-Learning, and Consumer neuroscience.