• Learn the origins, standards and terminology of AI and cognitive computing technology
• Become familiar with, and critically appraise the leading AI technologies and vendors;
• Learn how to effectively draft, provide input to, and/or summarise your organization’s AI strategy;
• Identify AI use cases and strategically implement AI technology in the context of organization business strategy.

Week 1, Module 1 Framework and Standards:

An overview of AI history, technology standards and terminology based on the framework introduced by the National Institute of Standards and Technology.

Week 2, Module 2 Technology Dive In:

Delve deeper into AI technology, including Machine Learning, Neural Networks, Robotics, Expert Systems, Natural Language Processing.

Week 3, Module 3 Challenges and Success Stories:

Discuss inspiring breakthrough AI technologies, including IBM’s Deep Blue and Watson, AlphaOne, Google Map, Google Translate, and more, and discuss common concerns in the AI field, including data and privacy, ethics, and AI autonomy.

Week 4, Module 4 AI Implementation Business Strategy:

Leverage AI to increase efficiencies and meet your organization’s business objectives, and learn how you can leverage AI and cognitive computing to enable and implement your organization’s business strategy.

Week 5, Module 5 AI Implementation - Follow the Data:

Two areas are essential to A: one is business domain knowledge, and the other is data. Without either, Learn the mechanisms and implementation steps to leverage AI technology in the context of enterprise architecture, so as to produce business intelligence for your organization.

Week 6: AI is Innovation:

While realizing the potential business benefits, AI is disruptive. Organizational culture is a key enabler for the success adoption of AI technology. This module discusses the steps that can facilitate the adoption of AI through enterprise-wide change management.