Data science managers (and senior leaders who lead data science teams) need to ask themselves many questions about how to best execute their data science efforts. For example, what is the most effective way to lead a data science project?
How do I ensure that my data science team does not expose my company to problems related to the misuse of data and/or algorithms?
How do I validate the results provided by the data science team?

This video provides a framework that managers can use to ensure a successful data science project. The focus of this framework is not on what specific algorithm a team should use, but rather on how to ensure that data science efforts move forward effectively and efficiently.

Key aspects of the framework discussed include:
1. Form data science teams
2. Establishment of processes for the development of analytical solutions
3. Risk management

Did you like this video? Share your opinion in the comments below
You can also visit our website and select the nearest ODSC event to attend and experience all our trainings and workshops:
odsc.com/california
odsc.com/london

Don’t forget to visit our AI learning platform

#AI #ODSC #DataScience

Please take the opportunity to connect with your friends and family and share this video with them if you find it useful.