Using Activity Logs to Predict User Behaviour

Learn to leverage activity logs for predicting user behavior through machine learning techniques in this 19-minute conference talk from Conf42 Observability 2025. Explore the fundamentals of AI and machine learning, understand how different machine learning models operate, and discover criteria for selecting the most appropriate model for your specific use case. Dive into neural network implementation and gain hands-on experience with TensorFlow for practical applications. Master the process of training models using activity log data and learn how to deploy these models to make accurate predictions about user behavior patterns. The session covers everything from basic concepts to advanced implementation techniques, making it suitable for both beginners and experienced practitioners looking to enhance their observability and user analytics capabilities.