This course offers this training program titled: "AI-Powered Decision-Making for Business Leaders", aimed at empowering executives and senior leaders to understand how to…
This course offers this training program titled: "AI-Powered Decision-Making for Business Leaders", aimed at empowering executives and senior leaders to understand how to leverage artificial intelligence tools to enhance the quality and effectiveness of their strategic decision-making.
In today’s complex and fast-paced business environment, relying solely on human analysis is no longer sufficient. Organizations are increasingly adopting AI as a core enabler for data-driven decision-making.
This program explores key concepts linking AI to decision-making, showcasing real-world applications that allow leaders to employ technologies such as machine learning, predictive analytics, and intelligent decision support systems to make faster, more informed choices in competitive settings. Participants will gain a clear understanding of how to evaluate the outcomes and risks of intelligent systems and how to ensure their responsible use in alignment with the organization’s values and goals.
By the end of the course, participants will be able to:
Who Should Attend?
CEOs and General Managers in both public and private sector organizations.
Strategic leaders and board members.
Business Development and Digital Transformation Managers.
Decision-makers seeking to integrate AI into their strategies.
Knowledge and Benefits:
After completing the program, participants will be able to master the following:
Understand the relationship between AI and decision-making in business contexts.
Identify intelligent tools and technologies that support decision-making.
Use AI to analyze data and make predictive, data-informed decisions.
Evaluate the benefits and risks of AI-powered decision-making systems.
Enhance their leadership capabilities in driving smart transformation across the organization.
Definition and types of artificial intelligence in the business environment
Differences between human and AI-assisted decision-making
The role of AI in developing modern decision-making models
Types of data used in intelligent systems
The importance of data quality and its impact on decision outcomes
Data analytics tools and their role in supporting executive management
Concepts and evolution of Decision Support Systems
Applications of AI in operational and strategic decision-making
Integration of DSS with Business Intelligence (BI) systems
Using machine learning to identify patterns and forecast outcomes
Building “What-if” scenarios for more precise decision-making
Predictive modeling techniques across various industries and sectors
Ethical principles associated with the use of AI
Algorithmic bias and its impact on decision outcomes
Mechanisms to review and improve fairness and transparency in intelligent systems
Developing internal policies for managing AI applications
Oversight and accountability when using automated decision-making systems
Aligning AI initiatives with organizational goals and strategies
Stages of AI-assisted decision-making
Case studies of successful AI integration across sectors
The leadership role in promoting AI adoption
The difference between digital transformation and AI adoption
Leadership competencies in the era of big data and intelligent decisions
Creating a culture of analytics and innovation within the organization
Strategies to adapt to unexpected changes using smart models
Probabilistic analysis and risk assessment in unstable conditions
Leveraging AI to strengthen organizational resilience
Practical steps for identifying high-priority areas for AI adoption
Common challenges and strategies to overcome them
Developing a sustainable action plan to implement AI in the workplace
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Arab Training Institute
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Arab Training Institute
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