Data science managers (and senior leaders managing data science teams) need to think through many questions relating to how to best execute their data science efforts. For example, what is the most effective way to lead a data science project?
How to make sure my data science team does not expose my organization to issues relating to the misuse of data and/or algorithms?
How do I validate the results provided by the data science team?

This video will provide a framework managers can use to help ensure a successful data science project. The focus of this framework is not on which specific algorithm a team should use, but rather, how to ensure that the data science effort is progressing effectively and efficiently.

Key aspects of the framework, that will be discussed, include:
1. Forming Data Science Teams
2. Establishing Processes for Developing Analytical Solutions
3. Risk Management

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