aivancity Paris-Cachan

AI and Data Science for managers

Marketing, Finance, HR, IT, Logistics, Sales, Production, Logistics, Customer Service, R&D, Quality, Purchasing, Legal, Communication...

 

Flash News

You can now benefit from a 1,000 euro government contribution to help finance training in digital professions.

Here's the way! MORE INFO

 

Certification

This training is a skills block of the RNCP "AI Solutions Development Project Manager" from aivancity: « RNCP35255BC01 - Identifying and delineating the challenges and consequences associated with different domains of artificial intelligence usage »

 

Success rates

100% of the individuals who completed the entire training obtained their certification.

 

TARGET AUDIENCE AND PRESENTATION

This program is designed for any professional, whether they are a manager, executive, or expert, regardless of their field - Marketing, Finance, Human Resources, Information Systems, Logistics, Sales, Production, Customer Service, Research and Development, Quality, Purchasing, Legal, Communication.

It aims to provide a better understanding of the challenges posed by artificial intelligence and data for businesses, with an approach that emphasizes practical questions and case studies.

It has almost become commonplace to talk about the growth of the artificial intelligence and data market, especially with the emergence of generative AI, which adds an exciting new dimension to this constantly evolving landscape.

Every two days, humanity produces as much information as it generated from the dawn of civilization until 2003. More than 90% of the data available today has been produced in the last two years. And this volume of digital information doubles every two years.

 

marché de l'ia

 

In France, the digital mission of large companies launched by the government in 2020 to accelerate the digital transformation of businesses also includes the project "Developing a common strategy on artificial intelligence" among its five major identified priority projects.

This cannot be achieved without providing managers with support in understanding the issues related to AI and Big Data.

This training does not aim to turn all the players in the company into "data scientists" or "data analysts," nor even into experts in AI and machine learning. It aims to provide them with a comprehensive overview of the field of AI. By introducing them to key concepts and practical applications, it enables them to better understand the implications of this emerging technology in their field of activity and to better guide their decision-making processes. This landscape knowledge is essential for them to first know whether to integrate/accelerate an AI and Data approach into their strategic perspectives and, if so, where and how to proceed on this path.

 

OBJECTIVES

This training will allow you to acquire:

  • Understanding and identifying the potential of artificial intelligence and the use of big data for one's organization, including the opportunities presented by generative AI, in order to detect the economic opportunities offered by the use of AI.
  • Analyzing the impact of using AI on the organization, taking into account the implications of generative AI, while understanding and anticipating the transformations in human and material resources in order to successfully implement it and ensure the sustainability of the envisaged solutions.
  • Structuring a data business model for one's organization by understanding the process of analyzing and processing massive data with the objective of driving growth and adding value for the customer/user.
  • Implementing an effective data management practice while considering aspects of security, protection, and quality assurance.
  • Identifying the human and ethical considerations of using AI and data, considering the regulatory framework and issues of bias and algorithm robustness, to contribute to the establishment of trustworthy and responsible technological innovations.

 

CONTENT

icone équipe

Module 1: Identifying and Understanding the Potential of AI for Your Organization

Artificial Intelligence in the context of a digital ecosystem: developments and practices  

Understanding the AI black box: machine learning, deep learning and neural networks 

Use cases in companies: benefits and challenges 

icone équipe

Module 2: Data Science for Business Intelligence 

Enterprise Data Science Practices: Methods, Approaches and Trends for the Future

Leverage the potential of data to drive your organization's growth: data collection, storage, cleansing, analysis and visualization, predictive analysis and modeling, classification and segmentation

Building and managing a team of data managers. 

Structure your data business model 

icone équipe

Module 3: Artificial Intelligence and Data Ethics  

An AI of trust and responsibility

Regulatory and ethical framework for the use of AI and data in the enterprise

The ethical challenges of generative AI. 

HR issues: working with intelligent machines, AI and data professions and job market, 

A testimonial and an exchange with a manager who has implemented AI solutions in his/her company as well as a Business case fil rouge (guideline) will enrich the contents of the different modules.

 

Trainers / Instructors

Dr. Doreid AMMAR

Dr. Doreid AMMAR

Professor in Data Science and Computer Science | Academic Director

Areas of expertise: Data Science, Data Mining, Machine Learning, Artificial Intelligence, The Internet of Things, Computer Networks

View his academic profile

Dr. Ysens de FRANCE

Dr. Ysens de FRANCE

Associate Professor in AI Law | AI Mission Officer to the Coordinator of AI for the National Gendarmerie

Areas of expertise: AI Law, Ground Robotics, Military Robotics, Dual Application of Technological Innovation, International & European Law Applied to Artificial Intelligence

View his academic profile

Dr. Bilel BENBOUZID

Dr. Bilel BENBOUZID

PhD, Affiliate Professor, AI Ethics | Assistant Professor in Sociology - Université Paris Est

Areas of expertise: Sociology of Science

View his academic profile

Maud LAMBERT

Maud LAMBERT

Expert Professor, Digital Law and AI | Associated Lawyer - Smalt Avocats Law Firm

Areas of expertise: Law, AI, Technologies, Data

View his academic profile

Axel CYPEL

Axel CYPEL

Expert Professor in AI | Head of the LCL AI Projects Department

Areas of expertise: AI, Project Management, Financial Risks, Capital Markets

View his academic profile

Dr. Virginie MATHIVET

Dr. Virginie MATHIVET

Expert Professor in AI & Deep Learning | Founder of Hemelopse

Areas of expertise: AI & Deep learning, Machine Learning, IoT, Neural Networks, AI Project Management

View his academic profile

Yasser ALMEHIO

Dr. Yasser ALMEHIO

Expert Professor in Computer Vision and AI | System Design Leader, Research and Innovation at Valeo

Areas of expertise: Computer Vision, Artificial Intelligence

View his academic profile

Ahmed ABBESSI

Ahmed ABBESSI

Expert Professor in Digital Transformation | Industry Manager, Google

Areas of expertise: Digital Transformation, Data Science, Analytics, Strategy

View his academic profile

Ludan STOECKLÉ

Ludan STOECKLÉ

Expert Professor in Artificial Intelligence | Digital Strategy Officer at Murex

Areas of expertise: Artificial Intelligence, Natural Language Generation (NLG), Open-source Chatbots, Software Patents, Coaching

View his academic profile

AI and Data Science for managers

  • access

    Prerequisite A minimum of 5 years of professional experience in a managerial position.

  • diplome

    Location Cachan

  • calendrier

    Next session April 10, 11 and 12 - April 24, 25 and 26, 2024

  • calendrier

    PRICE €2,900 EXCL. TAX