Course : AI 360 Vision for Executives: Understanding the Transformations Underway to Make Decisions, Resolve Issues, and Govern

Seminar - 1d - 7h00 - Ref. VDB
Price : 1100 CHF E.T.

AI 360 Vision for Executives: Understanding the Transformations Underway to Make Decisions, Resolve Issues, and Govern



New course

Artificial intelligence has become a strategic issue that goes far beyond purely technological considerations. From value creation, cybersecurity, and regulation to digital sovereignty, business transformation, and governance, today’s leaders must have a comprehensive vision to make informed decisions. This training program offers a 360° approach to artificial intelligence, enabling participants to understand the transformations underway, identify major opportunities and risks, and develop a framework that can be directly applied to strategic decision-making. It provides decision-makers with the essential guidelines to support the adoption of AI in a responsible, effective, and sustainable manner. This seminar brings together the technological, economic, regulatory, geopolitical, cybersecurity, human, environmental, ethical, and organizational dimensions of AI.


INTER
IN-HOUSE
CUSTOM

Seminar in person
Disponible en anglais, à la demande

Ref. VDB
  1d - 7h00
1100 CHF E.T.




Artificial intelligence has become a strategic issue that goes far beyond purely technological considerations. From value creation, cybersecurity, and regulation to digital sovereignty, business transformation, and governance, today’s leaders must have a comprehensive vision to make informed decisions. This training program offers a 360° approach to artificial intelligence, enabling participants to understand the transformations underway, identify major opportunities and risks, and develop a framework that can be directly applied to strategic decision-making. It provides decision-makers with the essential guidelines to support the adoption of AI in a responsible, effective, and sustainable manner. This seminar brings together the technological, economic, regulatory, geopolitical, cybersecurity, human, environmental, ethical, and organizational dimensions of AI.


Teaching objectives
At the end of the training, the participant will be able to:
Explain the main categories of artificial intelligence and their impact on organizations
Analyze the opportunities, limitations, and risks associated with generative AI and agent-based AI in a professional context
Assess the regulatory, cybersecurity, geopolitical, environmental, and human challenges associated with the adoption of AI
Identify the conditions for the success of an AI strategy aligned with the organization's objectives
Develop a framework to guide governance and investment decisions related to artificial intelligence

Intended audience
Executives, members of the Executive Committee and Management Committee, CEOs, business unit directors, heads of transformation, innovation, strategy, risk, compliance, and human resources, CIOs, business unit managers, and public and private sector decision-makers.

Prerequisites
None

Practical details
A mix of theoretical instruction, demonstrations, case studies, and discussions. Presentation of recent use cases from the private sector, the public sector, and international news. Reference materials on the AI Act, the GDPR, cybersecurity, AI governance, and digital sovereignty. The training can be delivered in person or remotely, with the same learning objectives.

Course schedule

1
Understanding Artificial Intelligence: The Fundamentals Every Decision-Maker Needs to Know

  • Distinguish between the main categories of AI: generative AI, predictive AI, machine learning, deep learning, and agent-based AI
  • Identify the actual capabilities of current models as well as their operational limitations
  • Understanding How AI Agents Work and Their Potential for Process Automation
  • Analyze the phenomena of hallucinations, biases, lack of explainability, and data dependency
  • Identify the key players in the global artificial intelligence ecosystem
Demonstration
A guided analysis of several use cases from public and private organizations aimed at distinguishing marketing claims from actual capabilities.

2
Identify value-creation drivers and develop a relevant AI strategy

  • Identify the main uses of generative AI and agent-based AI in business functions
  • Assess the potential benefits in terms of productivity, quality, innovation, and decision support
  • Distinguish between high-impact initiatives and projects with low added value
  • Identify the key success factors: data, skills, governance, change management, and digital maturity
  • Analyze the causes of failure frequently observed in artificial intelligence projects
Demonstration
Case study examining several real-world AI projects. Assessment of expected benefits, associated risks, and conditions for success.

3
Managing Risks: Shadow AI, Cybersecurity, Data, and Compliance

  • Identify the risks associated with Shadow AI and the uncontrolled use of generative AI
  • Analyzing New Cyber Threats: Deepfakes, Disinformation, Augmented Social Engineering, and Automated Attacks
  • Assessing the Impact of AI on the Protection of Sensitive Data and Information Confidentiality
  • Understanding the GDPR Principles Applicable to Projects Involving Artificial Intelligence
  • Identify strategic dependencies related to suppliers, cloud infrastructure, models, and data
Example
A data breach scenario involving a generative AI tool. Analysis of causes, consequences, and corrective measures. Identification of cyber and regulatory risks in various business contexts. Simplified mapping of risks to monitor.

4
Understanding Regulatory, Geopolitical, and Environmental Issues

  • Identify the fundamental principles of the AI Act and its risk-based approach
  • Analyze the responsibilities of organizations that use or deploy AI systems
  • Understanding the Challenges of Digital Sovereignty and Control Over Strategic Data
  • Comparing the Approaches of Major Powers in the Global Race for Artificial Intelligence
  • Assess the environmental impacts associated with infrastructure, models, and computing capabilities
Demonstration
A comparative study of several scenarios for deploying an AI solution. Identification of the regulatory, geopolitical, and environmental challenges associated with each scenario. A structured discussion to balance innovation, compliance, sovereignty, and environmental responsibility.

5
Anticipating Changes in Job Roles, Management, and Governance

  • Analyze the changes in occupations and skills brought about by artificial intelligence
  • Identify activities that can be automated, enhanced, or transformed
  • Understanding the mechanisms of resistance and the factors that drive employee engagement
  • Defining Management's Role in the Acculturation and Responsible Adoption of AI
  • Establishing an AI governance framework that balances innovation, risk management, and compliance
Example
Projected Impacts of AI on Assembly-Related Occupations.

6
Building a 360° AI Vision and Preparing for the Next Disruptions

  • Identify the major technological trends likely to influence organizations in the coming years
  • Understanding the Intersections Between Generative AI, Agent-Based AI, Robotics, and Quantum Computing
  • Analyze the potential impacts on business models, industries, and competitiveness
  • Assess the trade-offs between opportunity, risk, compliance, sovereignty, and human acceptability
  • Develop a strategic framework to inform future decisions
Demonstration
Case study: Analysis of a transformation project incorporating multiple dimensions: business value, cybersecurity risks, AI Act compliance, governance, human impacts, and technological dependencies. Development of a 360° AI decision-making framework applicable to the organization. Recommendations and discussion among participants.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.


This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.