Friday, October 22, 2021
Summary: Ask any data leader about what they are doing with AI in their organization and they will give you a long list of exciting AI prototypes underway in different parts of their organization.
Now, ask them and yourself - but how many of these AI projects are running at scale and used every day by large parts of the organization?
Join us as we discuss what it takes to run AI projects at scale - people, process, and technology needed to make it happen.
Mobilewalla is a global leader in consumer intelligence solutions, leveraging the industry's most robust consumer dataset and deep artificial intelligence expertise to help organizations better understand, model and predict customer behavior. Mobilewalla data and tools help data science teams build resilient, higher performing predictive models. The Mobilewalla Feature Mart is a collection of sophisticated packaged features at a scale that can be used to train machine learning models. Anovos, an open-source project, brings automation to the feature engineering process focusing on the unique data ingestion needs and including comprehensive analytics, drift detection, and stability analyses for higher performing, more resilient models.
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