Understanding Data: The Fuel of AI

  • Understanding Data: The Fuel of AI
  • Morocco - Casablanca

Understanding Data: The Fuel of AI

Course Category : Data Management

A practice-oriented programme enabling organisations to understand, manage, and leverage data as a strategic asset powering AI initiatives and evidence-based decision-making.
Duration: 5 Days | Level: Intermediate.

Starts On

26 - July - 2026

Ends On

30 - July - 2026

Location

Morocco - Casablanca

Language

Arabic

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View Course Introductory PDF

Targeted Audience

  • Executives and Decision-Makers
  • Data and Analytics Managers
  • Digital Transformation Managers
  • IT Managers
  • Middle Management Leaders
  • Business Unit Heads
  • Governance and Risk Officers
  • Business Analysts
  • Innovation Teams

Targeted Skills

  • Data as a Strategic Enterprise Asset
  • Data Lifecycle Analysis
  • Data Quality and Readiness Assessment
  • Linking Data to AI Initiatives
  • Analytics-Driven Decision-Making
  • Data Governance and Compliance

Expected Outcomes

  • Recognise the critical role of data in AI success.
  • Analyse the enterprise data lifecycle.
  • Assess data quality and AI readiness.
  • Link data assets to high-value use cases.
  • Apply data governance and protection principles.
  • Support decision-making through analytics.

Training Topics Index

  • Evolution of enterprise data
  • Data vs information vs knowledge
  • Data as an organisational asset
  • Data-AI dependency
  • Risks of poor data

  • Data collection sources
  • Data organisation and storage
  • System integration
  • Data usage and analytics
  • Data retention and disposal

  • Dimensions of data quality
  • Common data issues
  • Data cleansing and validation
  • AI-ready data requirements
  • Impact on AI outcomes

  • Descriptive, diagnostic, predictive analytics
  • Turning data into insights
  • Dashboards and reporting
  • Leadership decision support
  • Analytics limitations

  • Data governance frameworks
  • Privacy and protection
  • Ethical data use
  • Regulatory compliance
  • Enterprise value creation