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#138 Data Science & AI in the Gaming Industry

DataFramed

CHAPTER

How to Be a Successful Data Science Leader in the Gaming Industry

The team what we add was very much in the middle of as you were saying a lot of teams. We're basically using the agile methodology so we are working on two to three weeks sprint and during the sprint we were collecting any requirement making sure they were actually met at the end of the sprints. What we were doing also to be able for instance to make sure we were aligned with the development cycle of a game was actually asking to be part of some of their more important meetings.

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