Abstract: Time is money. By automating data preparation, model development, feature engineering, and hyper parameter optimization, AutoAI frees up time for expert data scientists who can now reduce the number of iterations required. However, the work doesn’t stop there. Once you've deployed an AI model in a system or application, it’s critical to monitor the model's performance and accuracy, prevent the infusion of bias and maintain the model's explainability. That’s where Watson OpenScale comes in. Attend this session led by a Twice Kaggle GrandMaster to learn about the key features of AutoAI and discover how Watson OpenScale can strengthen your partnerships with the business and manage the outcomes of your labor of work as a data scientist.
Bio: Coming Soon!
Jean Francois Puget, PhD
Distinguished Engineer, Machine Learning and Optimization, IBM Analytics, Twice Kaggle GrandMaster | IBM