Session: Predict the Future with Watson Studio AutoAI

Learn how to build and deploy your very own AI predictive models from IBM Developer Advocate Jenna Ritten. IBM Watson Studio AutoAI automatically analyzes your data and generates customized predictive model pipelines. It categorizes data as needed, does features engineering and optimizes hyperparameters to get to the best possible model. We will show you how to integrate Watson Studio AutoAI into your projects.

Using AutoAI, you can build and deploy a machine learning model with sophisticated training features and no coding. The tool does most of the work for you. We will walk you through how to deploy your customs models to your application.

The AutoAI process follows this sequence to build candidate pipelines:

  • Data Pre-Processing
  • Automated Model Selection
  • Automated Feature Engineering
  • Hyperparameter Optimization

Session Speakers:

Jenna Ritten

Jenna Ritten (@jritten) is a cloud software developer turned developer advocate for IBM Cloud. She works on expanding the reach of open source technolog [Read More]