The agenda for this session included:

• Introduction to machine learning, deep learning and generative concepts

• Explanation of how different learning approaches solve different business problems

• Discussion on model behavior, training concepts and output generation

• Understanding the distinction between predictive logic and content generation

• Review of practical examples to connect theory with enterprise use cases

• Exploration of how these concepts support automation and decision support

• Clarification of terminology frequently used in later sessions