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Course Content
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
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Day 1: Introduction to AI in Decision-Making
Day 2: Data and Predictive Analytics
Day 3: AI in Planning and Operational Decisions
Day 4: Advanced Tools and Applications
Day 5: Strategic and Ethical Dimensions
Why Attend This Course
Conclusion
AI for 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

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