Many companies start their big data and AI journey by hiring a team of data scientists, give them some data, and expect them to work their miracles. Although it may yield results, it is not an efficient way to use data scientists. We will explain the problems that occur, and how to adapt the context to get business value from data scientists.
- Why data science teams might fail to deliver results
- What data scientists need to be efficient
- What talent you need in addition to data scientists