Tuesday, April 27, 2021
Where is your data? What data is available? What are its size and quality? Who can give you access to the necessary tables for the amazing project with your sales department (or customer service, or recruitment, whatever)? Any idea about how long your AI project is going to take? How much money it will generate? How will it impact important KPIs (revenue, CSAT, time to hire)?
These questions might sound overwhelming and "not in my job description!" for a data scientist. Well, fair enough, and good luck! Without answering them, you'll never manage a successful AI project, meaning not the one where you've built a fancy model, but the one that actually matters for your organization.
A necessary prerequisite for that is an understanding of your company's Data Maturity. Simply put, it's the company's ability to generate value with data. Four dimensions - Strategy, People, Technology, and Data, and several basic scenarios to start with.
In this session, I'll briefly present a summary of our Data Maturity Assessment and how it can help you build AI solutions that matter.
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