About This Course
Research from the World Economic Forum (WEF) and Mckinsey shows that AI will increasingly disrupt what we do, who does it and how all work is done. The course will provide guidance for how to develop AI capacity across an organisation. It will explain the capabilities of AI, with examples of how it’s being used by forward thinking organisations. It will explore what leaders need to do to start their AI journey and how they can get the most out of this disruptive technology.
Learning Objectives
- Understand what AI actually is and define an AI path for your team or organisation.
- Leaders will find this course helpful as it forms a thought process by providing them with the most effective questions they should be asking when thinking about bringing AI into their organization.
Prerequisites
NA
Target Audience
Mid-senior management & team leaders
Training Outline
1. Overview
- Introduction to AI
- AI in an Organization – an Overview
- AI, Machine Learning and Data Science
- Data Driven Business Models
- Data as a Key Resource
- How to add value with Data
- New Tools and Skill Sets Required
- PIVOTing Your Strategy and Business Model - A 5 Step Approach
2. Framework
- Data Science Process
- CRISP-DM Model
- Tasks in Data Science
- Different Roles in a Data Science Team
3. Tools and Techniques
- Data Science Toolbox
- Harnessing AI Techniques for Organization Competitive Advantage
- Machine Learning
- Reinforcement Learning
- Deep Learning
- Advances in AI Applications in Natural Language Processing, Machine Vision and Speech Recognition
4. End in Mind & Challenges to Bringing AI to your Organization
- Data governance and Ethics
- Scaling AI in an Organization
- Challenges to bringing AI in an organization
- Challenges to Scaling