Australian College of Business Intelligence

1.1 Welcome to this unit

1.2 Introducing AI data strategies

1.3 What this unit will cover

1.4 What you’ll learn

1.5 A note on completing this unit

1.6 Section 1 quiz

2.1 Welcome to section 2

2.2 Understanding ML, DL and data

2.3 Using the data science hierarchy of needs

2.4 Understanding data architecture

2.5 Understanding the data lifecycle

2.6 Considerations for AI data management

2.7 Understanding data governance

2.8 Organisational AI data strategies

2.9 Tools for AI data management

2.10 Section 2 Quiz

3.1 Welcome to section 3

3.2 Reviewing organisational strategies

3.3 Analysing AI data management practices

3.4 AI data management review template

3.5 Investigating AI data management capabilities

3.6 Researching AI data management trends

3.7 Exploring AI decision-making best practices

3.8 Creating a research report

3.9 AI data management research report template

3.10 Section 3 Quiz

4.1 Welcome to section 4

4.2 Introduction to planning AI data strategies

4.3 Setting goals, objectives and success measures

4.4 Establishing a data governance framework

4.5 Setting an AI technology framework

4.6 Determining data and AI literacy strategies

4.7 Preparing a data management framework

4.8 Establishing roles and responsibilities

4.9 Creating a draft AI data strategy

4.10 AI data strategy template

4.11 Finalising your AI data strategy

4.12 Section 4 Quiz

5.1 Welcome to section 5

5.2 Planning to implement AI data management

5.3 AI data strategy implementation plan template

5.4 Planning employee training

5.5 Employee training plan template

5.6 Communicating AI data governance

5.7 Monitoring the initial strategy implementation

5.8 Reviewing AI data governance

5.9 AI data strategy implementation report template

5.10 Section 5 Quiz

6.1 Welcome to section 6

6.2 Key takeaways

6.3 The future of AI data strategies

6.4 How to keep your knowledge up to date

6.5 Congratulations and what’s next