Cambridge
Academy
In London

Introduction

AI empowers organizations to make smarter, faster, and more informed decisions by analyzing complex data sets. This course explores how AI enhances data analysis and drives strategic decision-making.

Objectives

- Understand AI’s role in decision support systems.

- Apply AI for data visualization and insight generation.

- Explore AI models for predictive decision-making.

- Build AI-enhanced dashboards for executives.

Audience

- Business analysts

- Data analysts

- Decision-makers & executives

- Strategy consultants

5-Day Outline

Day 1: AI Foundations for Decision Making

- Introduction to AI-powered decision support systems

- Types of decisions enhanced by AI

- Case study: AI in corporate decision-making

- Tools: Power BI with AI, Tableau AI, Qlik Sense

- Workshop: AI dashboard exploration

Day 2: AI in Data Visualization & Insights

- Using AI for advanced visualization

- Natural language generation for reports

- Automated data storytelling with AI tools

- Group activity: Compare AI-driven insights vs. manual analysis

- Peer review session

Day 3: Predictive Analytics in Decision Making

- Predictive modeling with AI

- Machine learning for trend forecasting

- Case study: AI predicting customer behavior

- Demo: AI forecasting in Power BI

- Workshop: Build predictive model for decision support

Day 4: Prescriptive Decision-Making with AI

- AI optimization models for recommendations

- AI in supply chain & finance decision-making

- Real-time scenario simulations with AI

- Group project: AI business case decision simulation

- Feedback & refinement

Day 5: Implementing AI in Decision-Making Frameworks

- AI adoption strategy for organizations

- Ethical challenges in AI-driven decisions

- Group presentations: AI decision-making projects

- Expert feedback

- Wrap-up & certification