Executives and managers interested in implementing a data-driven culture to improve efficiency and innovation within organisations. No in-depth technical knowledge is required, making this course accessible to leaders of all business functions.
Executives and managers interested in implementing a data-driven culture to improve efficiency and innovation within organisations. No in-depth technical knowledge is required, making this course accessible to leaders of all business functions.
The course is designed for executives and managers interested in understanding and implementing a data-oriented corporate culture. Key objectives include:
1. Understanding the importance of data governance and data culture in business contexts.
2. Learn how to build and promote a data-driven corporate culture to improve decision-making.
3. Exploring effective internal communication and employee engagement strategies.
4. Identify and apply best practices in data management to keep the company competitive.
The course combines theoretical lectures with concrete case studies, facilitating the practical application of concepts and providing a deep understanding of data governance. This approach aims to equip participants with the necessary tools to transform data into a true strategic asset for the company.
The course is intended for managers and executives who want to explore the applications of quantum computing in business. It is not necessary to have a technical background to participate in this course.
The course is intended for managers and executives who want to explore the applications of quantum computing in business. It is not necessary to have a technical background to participate in this course.
The course is designed for managers and executives interested in understanding the fundamental concepts of quantum computing and its potential applications in the business world. Key objectives include:
1. Introduce the fundamental concepts of quantum computing, highlighting the differences from classical computing.
2. To provide an overview of the current state of quantum technology and its future applications.
3. Exploring how quantum computing can revolutionise areas such as cryptography, pharmaceutical research and solving complex combinatorial problems.
4. Demystifying the principles of quantum computing for a non-technical audience.
The course adopts an approach that mixes theoretical lectures, case studies, group discussions and practical sessions. This format is designed to develop a deep understanding of the potential of quantum computing, while facilitating the practical application of theoretical knowledge.
The course is ideal for managers and executives who wish to understand how generative AI can be applied to innovate in business sectors. No advanced technical skills are required, making the course accessible to anyone interested in this emerging technology.
The course is ideal for managers and executives who wish to understand how generative AI can be applied to innovate in business sectors. No advanced technical skills are required, making the course accessible to anyone interested in this emerging technology.
The course is designed for managers and executives who wish to discover the potential of generative artificial intelligence and its applications in business. Key objectives include:
1. Introduce the key concepts of generative AI and associated technologies such as Generative Adversarial Networks (GANs), Diffusion Models and Large Language Models (LLM).
2. Exploring practical applications of generative AI in business, marketing and product development.
3. To provide a roadmap for the effective implementation of generative AI projects in organisations.
4. Discuss issues of ethics, privacy and data governance in generative AI contexts.
The course combines theoretical presentations, case study analyses, group discussions and practical laboratory sessions. This
mix is designed to ensure that participants gain a practical and in-depth understanding of the possibilities offered by generative AI, as well as providing the opportunity to experiment directly with AI tools.
The course is ideal for executives and marketing professionals who already have a basic knowledge of AI. It is particularly suitable for those interested in exploring advanced strategies and innovations in the field of artificial intelligence to strengthen their strategic and operational competence.
The course is ideal for executives and marketing professionals who already have a basic knowledge of AI. It is particularly suitable for those interested in exploring advanced strategies and innovations in the field of artificial intelligence to strengthen their strategic and operational competence.
The course is designed for executives and marketing professionals who already have a basic understanding of artificial intelligence and wish to explore more complex and advanced applications in marketing and business. Key objectives include:
1. Delving into advanced AI techniques specifically applicable to marketing and business.
2. Analysing complex case studies to discover successful strategies implemented by other companies.
3. Exploring the use of AI for product innovation and the development of new business models.
4. Addressing advanced challenges in AI implementation, including ethical aspects and data security.
The course combines theoretical lectures with advanced case studies, interactive workshops and brainstorming sessions. An approach that aims to provide an in-depth understanding of advanced AI strategies and stimulate critical reflection on their practical application in marketing and business.
The course is intended for managers and marketing professionals who wish to integrate AI into business strategies. No prior technical experience is required, making this course accessible to those interested in harnessing AI to innovate and optimise marketing operations.
The course is intended for managers and marketing professionals who wish to integrate AI into business strategies. No prior technical experience is required, making this course accessible to those interested in harnessing AI to innovate and optimise marketing operations.
The course provides an overview of the application of artificial intelligence in marketing and business, aiming to:
1. To introduce the basic concepts of AI and the methodologies for their specific application in marketing and business.
2. Examine real-life use cases and practical applications of AI in the marketing sector.
3. Illustrate how AI can improve customer engagement and increase the effectiveness of marketing campaigns.
4. Identify opportunities to integrate AI into marketing strategies for competitive advantage.
The course uses a combined approach that includes theoretical lectures, analysis of real-life use cases, interactive discussions and practical sessions. This format is designed to provide a solid understanding of the potential of AI in marketing, while encouraging active participation and practical application of the knowledge gained.
Exploration of the use of generative AI for the creation of innovative and customised content, with examples of leading technologies such as GPT (Generative Pre-trained Transformer) for text generation and DALLE for customised image creation.
Practical guide for integrating AI into marketing strategies, including an overview of the most effective tools and platforms.
Executives and managers with an initial knowledge of AI seeking to expand strategic and operational skills in the implementation of AI within companies.
Executives and managers with an initial knowledge of AI seeking to expand strategic and operational skills in the implementation of AI within companies.
The course is designed for executives and business managers who already have a basic knowledge of Artificial Intelligence (AI) and wish to learn more about advanced AI and machine learning techniques.
The course aims to:
1. Deepening the understanding of advanced AI and machine
learning.
2. Exploring advanced strategies for the effective integration of AI into processes
company.
3. Discuss the importance of data and management strategies within
AI projects.
4. Analysing advanced case studies to understand the lessons learnt from
implementations of AI.
The course uses a dynamic approach that includes advanced lectures, strategic workshops, in-depth case study analyses and practical state-of-the-art demonstrations. Discussion sessions are designed to stimulate discussion and facilitate the practical application of acquired knowledge.
The importance of data quality and management policies.
Data cleaning and feature engineering techniques to prepare data for AI.
The course is ideal for business leaders, managers and executives interested in understanding the fundamentals of AI and exploring how it can be used to drive innovation and create value within their organisations.
their own companies.
The course is ideal for business leaders, managers and executives interested in understanding the fundamentals of AI and exploring how it can be used to drive innovation and create value within their organisations.
their own companies.
The training course is designed for managers and executives who wish to gain a comprehensive and up-to-date understanding of Artificial Intelligence (AI) and its applications in the world of
business.
Specific objectives include:
1. Introduction to the key concepts and basic definitions of AI.
2. Exploration of significant use cases of AI in the corporate sector.
3. Understanding how AI can create added value for the company.
4. Identifying opportunities and challenges associated with adoption
of AI in business operations.
The course adopts an integrated approach combining theory, concrete case studies, practical sessions and interactive discussions. This mix is designed to provide a practical understanding of the fundamentals of AI, highlighting its direct impact on business and facilitating learning through direct experience and discussion between participants.
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