In an era of rapidly changing and increasingly complex markets, strategic management is more important than ever in determining the success and sustainability of companies. Traditionally, strategies have relied on market data analysis, competitor research, and internal performance estimates. But with the advent and advancement of artificial intelligence, companies can redefine their strategies and enhance their ability to predict and innovate in ways that were never possible before.

Artificial intelligence, including machine learning and advanced data analytics, provides powerful tools to improve strategic decision-making. This technology enables companies to analyze massive amounts of data quickly and accurately, providing deep insights into market trends, customer behavior, and business performance. Instead of relying solely on expertise and experience, strategic management can now use AI to provide more accurate predictions, design customized strategies, and achieve sustainable competitive advantage.

Artificial intelligence has become an integral part of modern strategy, improving analysis and forecasting processes, and providing intelligent solutions to complex problems. Technologies such as predictive modeling, big data analytics, and text analytics can enhance companies’ ability to adapt to rapid market changes and achieve their strategic goals more effectively.

Who Should Attend?

• CEOs and senior managers.
• Strategy and planning managers.
• Strategic analysts.
• Business consultants and strategic advisors.
• Project managers and supervisors.
• Marketing and data analytics managers.
• Entrepreneurs and startup owners.
• Academics and researchers in management and technology.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Principles of AI, machine learning, and deep learning, and how these technologies work.
• Collect, clean, and analyze data from diverse sources using AI tools.
• Use insights provided by AI analytics to design effective, data-driven business strategies.
• Use AI analytics results to make informed, data-driven strategic decisions.
• Use AI to analyze risks and opportunities, and develop strategies to deal with them effectively.
• Use AI to monitor and analyze business performance and key indicators.

• Introduction to Artificial Intelligence and Strategic Management
  • Definition of Artificial Intelligence and Machine Learning.
  • Types of Machine Learning: Supervised and Unsupervised Learning, Deep Learning.
  • Principles of Strategic Management and the Importance of Data Analysis.
  • How AI Can Enhance the Strategic Process.
• Collect and Analyze Data Using AI
  • Data Sources: Customer Data, Market, Performance.
  • Data Collection Tools and Techniques such as APIs, Big Databases.
  • Data Cleaning and Analysis Techniques.
  • Analysis Techniques: Exploratory Analysis, Statistical Modeling.
• Build and Evaluate Predictive Models
  • Build Models Using Machine Learning Algorithms (e.g. Regression, Neural Networks).
  • Model Evaluation Criteria: Accuracy, F1-score, ROC Curve.
  • Model Performance Improvement Techniques.
• Applications of Artificial Intelligence in Developing Business Strategies
  • Using the Results of Analyses and Models in Designing Effective Business Strategies.
  • Applications of Artificial Intelligence in Marketing, Sales, and Operations Management Strategies.
• Enhancing Strategic Decision Making Using Artificial Intelligence
  • Using AI to Support Strategic Decision Making Based on Accurate Analytics.
  • Using AI to Analyze Risks and Opportunities and Developing Strategies to Deal with Them.
• Improving Performance Management Using AI Tools
  • Using AI to Monitor Performance and Analyze Key Indicators.
  • AI to identify performance gaps and develop strategies to improve efficiency.
• Ethical and regulatory issues in AI
  • Ethical issues associated with the use of AI, such as privacy and bias.
  • Laws and regulations governing the use of AI and how to ensure compliance.