DEWA Outline - AI & Data Mining

DEWA Outline – AI & Data Mining

  • Overview

Overview

AI & Data Mining

Learning Objectives

By the end of this 2-day AI & Data Mining program, participants will be able to:

  1. Understand core AI and data mining concepts and how they are applied in real-world business contexts.
  2. Differentiate between AI, machine learning, and data mining, and identify appropriate use cases for each.
  3. Identify, prepare, and structure data for effective data mining and AI analysis.
  4. Apply key data mining techniques such as classification, clustering, association, and prediction to uncover patterns and insights.
  5. Interpret data mining outputs to support informed decision-making and strategic planning.
  6. Evaluate AI-driven insights for accuracy, bias, and business relevance.
  7. Leverage AI and data mining tools to solve business problems and improve operational efficiency.
  8. Understand ethical, legal, and governance considerations related to AI and data usage.
  9. Translate data insights into actionable business recommendations and compelling narratives.
  10. Design a simple AI/data mining use case or roadmap applicable to their organization or function.
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