Trustworthy AI for an Enterprise with IBM Watson Studio – w7125gspl
Course #: w7125gspl
Duration: 1.6 Hours
Achieving trust in AI at an enterprise-grade level has always been challenging. This course will give you an overview on the concepts of various aspects that build trust in machine learning models and how 'IBM Watson Studio’ can help you enable trustworthy AI at an enterprise-grade level. Learners will be provided with an overview of different aspects of trustworthy AI and will also get to experience the working of IBM Watson Studio which enables customers to build, deploy, and manage trustworthy AI.
Objectives
1. Recognize the need for Trustworthy AI and various aspects that help contribute to it
2. Identify the benefits of an enterprise grade solution over open source for implementing Trusted AI
3. Recognize that IBM Watson Studio is an enterprise grade solution for building-running and managing trusted AI
4. Differentiate and define various concepts like bias, explainability, drift as used when assessing the performance of machine learning models
5. Interpret the capabilities of IBM Watson Studio in Managing AI models and infusing trust into them
Audience
Anyone with an interest in Trustworthy AI concept and technology having the prerequisite knowledge required
Prerequisites
Some basic understanding of AI Lifecycle/ workflow will be helpful
Topics
Trustworthy AI for an Enterprise
- Recognize the need for Trustworthy AI and various aspects that help contribute to it
- Identify the benefits of an enterprise grade solution over open source for implementing Trusted AI
- Recognize that IBM Watson Studio is an enterprise grade solution for building-running and managing trusted AI
- Differentiate and define various concepts like bias, explainability, drift as used when assessing the performance of machine learning models
- Interpret the capabilities of IBM Watson Studio in Managing AI models and infusing trust into them