In the age of fast-paced information and technology, decision-making has become more complex and challenging than ever before. Success in the modern business environment requires the ability to analyze deeply and predict accurately, which can be difficult due to the sheer volume and variety of data. This is where AI comes in as a powerful tool that enhances the effectiveness of decision-making.

Artificial intelligence, through technologies such as machine learning and advanced data analytics, offers unprecedented capabilities to improve decision-making. AI provides analytical tools capable of processing massive amounts of data with speed and accuracy that surpasses human capabilities. It can discover patterns, make predictions, and analyze scenarios in a way that enhances the ability of companies and individuals to make decisions based on reliable and deep information.

For example, AI can analyze market data and customer behavior to provide accurate insights into future trends, helping companies design targeted marketing strategies and improve customer experience. AI-powered systems can also predict potential crises, manage risks, and provide customized solutions to complex problems, making decision-making more data-driven and actionable.

Who Should Attend?

• Executives and senior managers.
• Strategy and planning managers.
• Project managers and supervisors.
• Financial analysts.
• Marketing and data analytics managers.
• IT and data teams.
• Business consultants and strategic advisors.
• Entrepreneurs and start-up owners.
• Academics and researchers in management and technology.
• HR managers.

Knowledge and Benefits:

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

• The concept of artificial intelligence and machine learning and how they are applied in a business context.
• The basics of supervised learning, unsupervised learning, and deep learning.
• Collecting data from multiple sources, cleaning it, and preparing it for analysis.
• Using artificial intelligence to analyze data and develop effective business strategies.
• Using artificial intelligence analytics to support strategic decision-making based on accurate data.
• Using artificial intelligence to monitor and analyze organizational performance and key indicators.
• Ethical issues related to the use of artificial intelligence, such as privacy and bias.
• Laws and regulations governing the use of artificial intelligence and how to ensure compliance.

• Introduction to Artificial Intelligence and Machine Learning
  • The concept of artificial intelligence, its history of development, and the importance of its applications in business.
  • Supervised learning, unsupervised learning, deep learning.
  • How algorithms work, the role of data in artificial intelligence.
• Collecting and preparing data
  • Different data sources such as databases, open data, APIs
  • Data cleaning and preparation techniques (such as removing missing values, correcting errors).
  • Data analysis methods to understand underlying patterns.
• Building and evaluating predictive models
  • Building predictive models using artificial intelligence algorithms (such as regression, neural networks).
  • Using model evaluation criteria such as accuracy, correlation, and ROC curve.
• Applications of artificial intelligence in improving business strategies
  • Using artificial intelligence to analyze data and develop effective strategies.
  • Application of artificial intelligence in marketing strategies, sales, and operations management.
• Improving decision-making using artificial intelligence
  • Using artificial intelligence to support strategic decision-making.
  • Risk and opportunity analysis techniques using artificial intelligence.
• Performance management using artificial intelligence
  • Using artificial intelligence to monitor and analyze organizational performance.
  • Using artificial intelligence to identify performance gaps and develop strategies to improve efficiency.
• Ethical and Regulatory Issues in AI
  • Ethical issues related to the use of AI such as privacy and bias.
  • Laws and regulations governing the use of AI and how to ensure compliance.