An Interactive 5-Day Training Course

Data Governance, Privacy & Integrity in Artificial Intelligence (AI)

Protecting Data Integrity, Security & Compliance in AI-Driven Operations

29 Jun - 03 Jul 2026

Dubai

| $5950

14 - 18 Sep 2026

Milan

| $5950

30 Nov - 04 Dec 2026

Dubai

| $5950

Introduction

This GLOMACS Data Governance, Privacy & Integrity in Artificial Intelligence (AI) training course has been developed to enhance delegates understanding of AI. In today's data-driven world, the intersection of AI implementation and privacy protection presents both significant challenges and opportunities for organizations. This intensive five-day training course equips senior leaders with comprehensive knowledge and practical tools to navigate the complex landscape of AI data governance and privacy compliance.

Drawing from real-world examples, participants will master the art of balancing innovation with privacy protection. The training course incorporates current privacy regulations, including Saudi Arabia's PDPL and international frameworks, providing a thorough understanding of global and regional privacy requirements.

This training course will feature:

Comprehensive understanding of AI privacy regulations and frameworks
Practical tools for implementing privacy-compliant AI systems
Real-world case studies from leading organizations
Hands-on experience with privacy impact assessments
Strategic approaches to building privacy-oriented AI frameworks

Key Learning Outcomes

At the end of this training course, you will learn to:

Understand current AI regulatory landscapes across global regions
Master adaptive governance approaches for AI systems
Develop practical skills in AI risk assessment and compliance
Create adaptive governance frameworks for organizations
Apply real-world case studies to organizational challenges

Training Methodology

This training course combines interactive lectures, group discussions, case studies, and practical exercises to provide a comprehensive learning experience. Participants will engage in thought-provoking discussions, analyze real-world scenarios, and apply the concepts learned to practical situations. The training course facilitator will draw upon extensive industry experience to share best practices and provide personalized guidance to attendees. Throughout the training course, participants will have ample opportunities to network with peers and develop actionable plans for implementing corporate governance improvements within their organizations

Data Governance, Privacy & Integrity in Artificial Intelligence (AI)

Who Should Attend?

The Organisation will have the following benefits,

Reduced privacy compliance risks in AI systems
Enhanced data protection frameworks
Improved stakeholder trust in AI implementations
Better positioning for international data transfers
Stronger privacy culture development
Increased competitive advantage through proper data governance
Improved readiness for privacy audits
Better risk management processes
Enhanced reputation for data protection

Learning Journey Breakdown

Global Privacy Framework

EU GDPR and AI Systems
China's Personal Information Protection Law (PIPL)
Saudi Arabia's Personal Data Protection Law (PDPL)
UAE Federal Decree Law No. 45 of 2021
African Data Protection Harmonization Framework

Regional Focus

SAMA Data Privacy Guidelines
Qatar Financial Centre Privacy Rules
African Regional Frameworks
Privacy implementation in AI systems
Cross-border data transfer solutions
Compliance monitoring systems

Core Components

Data Classification Systems
Data Lifecycle Management
Privacy by Design Principles
Data Quality Management

Implementation

Data Governance Operating Models
Privacy Impact Assessments
Data Protection Controls
Monitoring Systems

Risk Framework

Privacy Risk Assessment Models
Data Protection Impact Assessments
Vendor Risk Management
Cross-border Data Transfers

Technical Controls

Data Anonymization Techniques
Encryption Standards
Access Control Systems
Audit Mechanisms
Risk assessment methodology
Technical controls implementation
Compliance monitoring

Organizational Integration
Privacy Governance Structure
Role Definition and Responsibilities
Training and Awareness
Change Management

Monitoring

Privacy Metrics Development
Incident Response
Reporting Frameworks
Continuous Improvement

Emerging Topics
Privacy-Preserving AI Techniques
Federated Learning
Synthetic Data
Edge Computing Privacy

Ready to Take the Next Step?

Reserve your slot today and start your learning journey with us.

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