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Learning path: Getting started with Watson OpenScale

Level Topic Type
101 Instilling trust in AI Article
102 IBM Watson OpenScale and AI Fairness 360: Two new AI analysis tools that work great together Blog
103 Getting started with Watson OpenScale Tutorial
201 Monitoring the model with Watson OpenScale Code pattern
301 Using OpenScale with any model, anywhere Series

Introduction

This learning path is designed for anyone interested in quickly getting up to speed with using IBM® Watson™ OpenScale. Learn how to use Watson OpenScale to track and measure outcomes from AI across its lifecycle, while adapting and governing AI to changing business situations — for models built and running anywhere.

To get started, click on a card below, or see the previous table for a complete list of topics covered.

Instilling trust in AI


Learn about:

  • What level of trust we should put in AI
  • The 4 pillars of trusted AI
  • Tools to help

IBM Watson OpenScale and AI Fairness 360: Two new AI analysis tools that work great together


Learn about:

  • IBM AI Fairness
  • IBM OpenScale
  • How they work together

Getting started with Watson OpenScale


Learn about:

  • Watson OpenScale setup
  • Provisioning a Watson OpenScale service
  • Examining model fairness
  • Using a debiased model
  • How a prediction was determined
  • Monitoring model accuracy
  • Detecting drift in accuracy

Monitoring the model with Watson OpenScale


Learn about:

  • Creating and deploying a machine learning model using the Watson Machine Learning service on IBM Cloud Pak for Data
  • Setting up a Watson OpenScale data mart
  • Binding Watson Machine Learning to the Watson OpenScale data mart
  • Scoring a model using the Watson Machine Learning service

Using OpenScale with any model, anywhere


Learn about:

  • Using Watson OpenScale with IBM Watson Machine Learning
  • Using Watson OpenScale with Azure Machine Learning Studio
  • Using Watson OpenScale with Amazon Sagemaker
  • Using Watson OpenScale with custom machine learning frameworks


Next: Instilling Trust in AI

Mark Sturdevant