At the end of the Artificial Intelligence for Executives training course, you will be able to :

• Gain a stronger grasp of AI to address and exploit its opportunities.
• Evaluate the business impact of AI, including potential sources of competitive advantage.
• Gain a solid understanding of AI as a catalyst for innovation and source of competitive advantage.
• Analyze real-life AI integrations to better appreciate their strategic benefits and challenges.
• Discover opportunities to create value through AI implementations.
• Explore real-life examples of AI integrations to better understand their core challenges and strategic benefits.
• Assess the implications of AI from an organizational standpoint.
• Analyze how AI shapes your role as a senior decision maker, including its ethical ramifications

The “Artificial Intelligence for Executives” program is designed for :

• General managers, senior executives and senior decision-makers who seek a deeper awareness of AI and how it can transform their businesses and how they need to elevate their organizational capabilities.
• Business leaders and senior executives from a diversity of companies and sectors who seek a broader understanding of the potential impact of AI on their work, organization and competitive landscape. The program explores AI from a managerial – not technological – viewpoint, so IT expertise is not required to attend.
• The program explores AI from a managerial perspective and does not require a technical background.

Day 1 : An overview of artificial intelligence

• Real-life examples in global industry
• Core ai applications: machine learning, natural-language processing and robotics
• A closer look at machine learning and framework for understanding its implications

Day 2: The implications of ai on managers and organizations

• Artificial intelligence and human resources
• Artificial intelligence and marketing

Day 3: The interplay between ai and corporate strategy

• Analysis of competitive landscapes
• Identifying potential sources of competitive advantage
• The role of data and algorithms

Day 4: Implementing ai: technological and organizational perspectives

• Technological considerations
• Organizational challenges in ai integrations

Day 5: Ethical and privacy concerns

• Ethical considerations in the use of ai
• Societal impacts