Course : Sovereign AI: Strategies and Governance for Decision-Makers
Synthesis course - 1d
- 7h00 - Ref. ISO
|
Download in PDF format
Share this course by email
 | Identify high-value-added uses of generative AI in organizations and the risks associated with uncontrolled use. |
| Analyze the issues of sovereignty, privacy, and governance related to the deployment of AI solutions in businesses. |
| Evaluate cloud, sovereign, on-premises, and hybrid AI architectures based on security, cost, and adoption criteria. |
| Define a phased and realistic AI strategy tailored to the business, technical, and regulatory constraints of your organization. |
Intended audience
CIOs, CISO, senior management, innovation leaders, data leaders, IT architects, and technical and business decision-makers seeking to develop an AI strategy that balances innovation, security, and sovereignty.
Prerequisites
No advanced technical prerequisites. A general understanding of digital issues and IT environments is a plus.
Course schedule
1 Generative AI and Digital Sovereignty: Uses, Challenges, and Legal Risks
- An Overview of Current Uses of Generative AI in Business and Technical Functions.
- Identifying high-value-added use cases for organizations.
- Analysis of User Expectations and Factors Influencing the Adoption of AI Assistants.
- Understanding the Shadow AI phenomenon and the risks associated with unregulated use.
- Distinction between technical sovereignty, legal sovereignty, and operational control.
- Understanding the impacts of extraterritorial regulations and the Cloud Act.
- Evaluation of sovereign cloud approaches and SecNumCloud qualification criteria.
- Understanding the Data Lifecycle in Generative AI Systems.
- Identification of risks of leakage, unintentional disclosure, and hallucinations.
- Analysis of storage, traceability, and access control mechanisms.
- Assessment of the limitations of encryption and confidentiality levels based on architecture.
Hands-on work
Mapping of existing and emerging AI use cases within the participants’ environment. Comparative analysis of several cloud offerings based on sovereignty and compliance criteria. Definition of authorized, sensitive, or prohibited AI use cases according to different business contexts.
2 AI Architectures: Cloud, On-Premises, Sovereign, and Hybrid
- An overview of the key components of a modern AI architecture.
- Analysis of public cloud, secure cloud, on-premises AI, and hybrid approaches.
- A comparison of the advantages, limitations, and trade-offs of each architectural model.
- Exploring tools and environments such as Ollama, LM Studio, vLLM, and vector databases.
Hands-on work
A selection of AI architectures suited to various business scenarios.
3 Evaluate AI solutions and promote their adoption
- Analysis of the quality criteria for responses and the performance of AI solutions.
- Comparison of cloud-based and on-premises approaches based on business use cases and constraints.
- Understanding the barriers to users' adoption of in-house solutions.
- Identification of factors that balance safety, ease of use, and operational efficiency.
Hands-on work
Collective evaluation of an AI solution using a business and technical analysis framework.
4 AI Governance and Strategy for Organizations
- Establishing an AI governance framework tailored to the company's challenges.
- Defining rules for use, data classification, and access control.
- Prioritizing use cases and balancing sovereignty, quality, costs, and adoption.
- Mapping out a phased AI roadmap: experimentation, pilot, and industrialization.
PARTICIPANTS
CIOs, CISO, senior management, innovation leaders, data leaders, IT architects, and technical and business decision-makers seeking to develop an AI strategy that balances innovation, security, and sovereignty.
PREREQUISITES
No advanced technical prerequisites. A general understanding of digital issues and IT environments is a plus.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
CIOs, CISO, senior management, innovation leaders, data leaders, IT architects, and technical and business decision-makers seeking to develop an AI strategy that balances innovation, security, and sovereignty.
PREREQUISITES
No advanced technical prerequisites. A general understanding of digital issues and IT environments is a plus.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
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.
Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class
Dernières places
Date garantie en présentiel ou à distance
Session garantie
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.