The second workshop focuses on your specific situation and challenges. Together, we explore different opportunities and brainstorm ideas for which machine learning can provide a benefit. We review available data sources and discuss what kind of data is necessary for a specific solution. By the end of the workshop you have a bunch of ideas and a list of points to investigate further. We also identify easy wins and highlight potential risks based on how different approaches could evolve over time, i.e., long-term goals in an automation context.
The end result of the workshop is a presentation containing documented ideas which are ranked according to business value, easy wins, risk factor, and priority for the organization.
In summary: Prepare for a full day in the workshop, followed by a week of follow-up work. We then hold a meeting where we both present our findings before we summarize the workshop.