Session 5: Getting to Data Prep from Problem Statement
Data considerations that iterate your problem statement
Dear Class,
Today we reviewed and finalized the problem statement for each of the teams. You took the 4P and arrived at multiple use cases. As you can see it is a business strategy discussion about what option to choose and there is a clear role for the Product Manager and Business Manager in here.
One approach we saw was for the conference data team to think about the use cases of what AI to build to solve for problems impacting many internal stakeholders from content, marketing and sales teams.
The other approach we saw from the asset tracking team was to think about the value chain of the business and where to focus to build the AI for best value, product development, dealer service network or OEMs.
Each calls for the product manager to plan a different AI PRD and for the business manager to plan for different partnership conversations or to build new services to scale the business.
Finally we looked at IBM’s Garage approach on how to look at different business applications and how to think about data needed and supervised or unsupervised learning without losing focus of the business problem you set out to solve.
Today’s class recording (Session 5) is at CapstoneLab online (here).
As next step, we will setup the online Lab and ingest the data and begin exploring models.
Remember, I am here to here.