How Governance Can Build Trust in Data

Data scientists and analysts are using data in dynamic ways to gain insights, train models and predict outcomes. In order for the results of the AI models to be trusted, it must start with how the data is governed and managed before it gets into the hands of the data scientists. 

The following session will build on the following concepts: 

• Help identify common data misconceptions and why data definitions need to be standardized
• Share a governance framework that has key data management principles
• Develop implementable strategies for your entire data team