AI for Decision-Making

Introduction

In today’s rapidly evolving business environment, relying solely on human intuition or experience is no longer sufficient for effective decision-making. AI for Decision-Making has emerged as a strategic tool, enabling organizations to process large volumes of data, uncover patterns, and generate actionable insights in real time. By embedding AI into decision-making frameworks, institutions can improve accuracy, accelerate responses, and enhance overall organizational performance.

This program is designed for executives, team leaders, and specialists across government and private organizations in the Middle East and North Africa (MENA). It caters to professionals at all levels—from early-career employees seeking to build AI skills to senior leaders aiming to strengthen strategic and leadership capabilities.

Participants will learn to transform data into practical insights, integrate AI into decision-making processes, and drive growth, innovation, and organizational resilience.

Course Objectives

By the end of this course, participants will be able to:
Understand the fundamentals of AI for decision-making

Apply predictive analytics to anticipate future trends and outcomes

Use algorithms to evaluate alternatives and make precise choices

Enhance strategic planning through advanced data analysis

Apply AI-driven decision-making in HR, marketing, finance, and operations

Address ethical challenges in automated decision-making

Assess the impact of AI-supported decisions on organizational performance

Develop actionable plans to implement AI-driven decision-making within their organizations

Day 1: Introduction to AI in Decision-Making

• Defining AI and its significance in business decisions
• Comparing traditional decision-making with AI-supported processes
• Key tools and technologies for AI-driven decision-making
• Case studies from global and regional organizations
• Common challenges in AI adoption

Initial assessment of organizational readiness for AI integration

Day 2: Data and Predictive Analytics

• The role of data in strategic decision-making
• Collecting and processing large datasets
• Using predictive models to forecast outcomes
• Identifying risks and opportunities with AI-powered analysis
• Case Study: Banking and financial services sector
• Practical Workshop: Analyzing corporate data

Day 3: AI in Planning and Operational Decisions

• Using algorithms to optimize day-to-day operations
• AI-supported decision-making in HR and talent management
• Applications in marketing and customer service
• AI for supply chain and logistics management
• Strategies for embedding AI into operational processes
• Group Activity: Building an AI-powered operational decision model

Day 4: Advanced Tools and Applications

• Machine learning-based decision-support systems
• Interactive dashboards for decision monitoring
• Integrating AI into performance management frameworks
• AI applications in risk management
• Case Study: Oil and gas industry applications
• Workshop: Designing a decision-support tool for a virtual company

Day 5: Strategic and Ethical Dimensions

• Aligning AI-driven decisions with long-term organizational goals
• Addressing algorithmic bias and ensuring transparency
• Legal and ethical considerations of automated decision-making
• Evaluating financial and strategic ROI of AI-supported decisions
• Group Project: Developing a comprehensive AI-based decision-making strategy
• Final Wrap-Up: Linking all concepts to practical implementation

Why Attend This Course

By attending this course, participants will be able to:

• Gain advanced knowledge of AI applications in decision-making
• Improve decision accuracy and reduce reliance on intuition
• Develop strategies based on data-driven insights
• Increase operational efficiency and reduce costs
• Strengthen the ability to anticipate risks and opportunities
• Learn from real-world case studies across industries
• Participate in workshops and hands-on exercises
• Build leadership capabilities for AI-driven decision-making

Conclusion

AI for Decision-Making represents a paradigm shift in organizational operations. It enables leaders to leverage data for deeper insights, make better-informed decisions, and stay competitive in increasingly complex markets.

This program equips participants to apply AI responsibly and effectively across diverse decision-making contexts, while considering ethical and legal dimensions.

For organizations in the Middle East and North Africa, investing in AI for Decision-Making is no longer optional—it is a strategic necessity for growth, innovation, and long-term success.