Executive Leadership in AI Systems

INTRODUCTION

This Executive leadership in AI systems training course designed for senior leaders responsible for organizational AI strategy, implementation, and governance. The training course combines technical architecture, data governance, and privacy frameworks with leadership and strategic decision-making. You gain a better understanding of AI in a global business context and important additional knowledge of AI architecture requirements maximise value.

The following are the highlights of this GLOMACS Executive Leadership in AI Systems training course:

• Understanding of strategic AI governance frameworks
• Lead organizational privacy and compliance initiatives
• Direct technical architecture decisions
• Drive digital transformation strategies
• Implement effective governance models

MODULES

This training course is split into two modules:

MODULE I - Data Governance and Privacy in AI Systems

MODULE II - AI Systems Architecture and Governance

Each module is structured and can be taken as a stand-alone training course; however, delegates will maximise their benefits by taking Module 1 and 2 back-to-back as a 2-week training course.

Objectives

The primary objectives of the training course is to help delegates to:

• Master strategic decision-making in AI governance by understanding verified regulatory frameworks, privacy requirements, and technical architectures across the Middle East and global landscape, enabling confident leadership in digital transformation
• Develop comprehensive implementation strategies for data governance and AI systems by leveraging real-world case studies ensuring practical application of learned concepts
• Lead organizational change and risk management through understanding verified compliance frameworks like PDPL, SAMA guidelines, and EU AI laws, while building robust governance structures that balance innovation with regulation
• Create and oversee integrated technical and governance frameworks by understanding the interplay between data privacy, system architecture, and organizational requirements, enabling effective leadership of cross-functional teams
• Build and implement sustainable, compliant AI strategies through understanding emerging technologies, verified regulatory requirements, and documented implementation methodologies, ensuring long-term organizational success in AI adoption

Training Methodology

Participants will increase competencies through a variety of instructional methods including lecture, exercises, reviewing published articles, checklists, videos, and group discussions. A comprehensive training course manual enabling practical application and reinforcement is provided.Delegates are encouraged to bring real problem examples with them, for discussion on a confidential basis, and to share their experience of particular issues

Organisational Impact

The organization will benefit by:

• Establishing robust, compliant AI governance frameworks aligned with verified regional regulations
• Creating integrated data governance and technical architectures based on proven implementations from leading organizations, ensuring efficient resource utilization and improved operational performance
• Developing sustainable compliance processes that adapt to changing regulatory requirements, supported by documented frameworks and implementation methodologies from successful regional digital transformation initiatives
• Building stronger cross-functional collaboration between technical and governance teams through shared understanding of verified frameworks, improving project execution and reducing implementation risks
• Enhancing competitive advantage through properly governed AI implementations that balance innovation with compliance, based on documented success cases.

Personal Impact

Attendees will gain by participation in this training course as a result of:

• Developing their expertise in AI governance through exposure to verified frameworks, real-world case studies, and practical implementation strategies from leading organizations across the Middle East, enhancing their ability to lead digital transformation initiatives
• Mastering both technical and governance aspects of AI implementation through hands-on experience with documented frameworks from regulatory bodies, strengthening their decision-making capabilities
• Building a professional network of senior leaders in AI governance through interactions while gaining access to verified implementation methodologies and best practices
• Acquiring practical skills in risk management and compliance through analysis of real case studies from organizations enabling confident leadership of AI initiatives
• Enhancing their career progression by developing expertise in both strategic and practical aspects of AI governance, supported by knowledge of verified regulatory frameworks and successful implementation strategies

WHO SHOULD ATTEND?

This GLOMACS Executive Leadership in AI Systems training course is suitable to a wide range of professionals, but will greatly benefit:

• IT Directors responsible for digital transformation and AI strategy implementation, who need comprehensive understanding of both technical architecture and governance frameworks
• Digital Transformation Leaders managing the integration of AI systems while ensuring compliance with regional regulations like PDPL and SAMA guidelines
• Data Protection Officers (DPOs) and Privacy Directors responsible for implementing data governance frameworks and ensuring compliance with verified regulatory requirements across AI implementations
• Enterprise Architects and Technical Directors overseeing AI system design and integration, who need to balance technical requirements with governance frameworks
• Compliance Officers and Legal Directors handling AI-related regulatory requirements and risk management.
• Information Security and Risk Management Leaders responsible for protecting AI systems and data while ensuring adherence to documented security frameworks