You are faced with the task of developing innovative, data-driven software products and have already gained some practical experience with machine learning. Now the question arises: Which problem area(s) can be addressed in product development with ML?
Sounds familiar? Then this workshop is just right for you! Learn from our trainers how to find and verify AI/ML use cases and get the right tools and procedures for product finalization. We use effective DDD methodology (no previous DDD knowledge necessary).
Day 1: In this interactive training, we convey the possibilities of ML/AI and show which problems are predestined for it. Then we briefly introduce you to the basic ideas, concepts, and patterns of Domain-driven Design.
In the first practical part we get to know Event Storming and the ML Design Canvas. Event Storming is a method from Collaborative Modeling and Knowledge Crunching. It helps domain experts, technical experts, developers and all other team members to develop a common understanding of the business domain. This then allows us to identify use cases for innovative AI/ML technologies.
Day 2: We collaboratively formulate ML problems based on the use cases we have found. We do this on the ML Design Canvas. Then we structure the ML project on the Canvas and specify all components for the training and prediction phases. Afterwards, we talk about the Data Landscape Canvas to clarify the data availability.
