Training

 

Our Training

 

 We offer complete training courses to help you discover the uses of AI through concrete industrial examples. Employees are encouraged to contribute, in a collective intelligence approach, to take a fresh look at their job and their needs, to think about their digital transformation strategy, and to draw up a data/IA roadmap with an agile, iterative and incremental vision. 

 

Organisation of the training

 
  • Group work on a control case

  • Risk and Systemic of an AI project

  • Work on the concrete cases of your company

  • Presentation of AI concepts illustrated with examples

  • Data governance, data management

  • The DUCC method through concrete cases

 

To go further...

 

We also offer you an application of the DUCC® method with your customers for an optimal integration of the training by your employees.

 

Our trainers

 
 

Aurélien Verleyen

Finding value-creating solutions through data, where manufacturers never imagined they would find them.
— Aurélien Verleyen
photo_2_retouche_mini.jpg
 

Aurélien is a graduate of HEC-Les Mines (Master's degree in Strategic Management of Information and Technology). He has 15 years of experience in IT project development and management. He is also a lecturer and trainer in Big Data and project management (HEC, Centrale-Supelec, ESGI).

He is an expert in business processes and IS architecture and in team management. He has participated in the structuring of fast-growing companies and accompanied change in teams. Convinced that business contexts are becoming more complex and that standard approaches are reaching their limits, he has developed a data-driven approach for organization and business decisions.

FUNCTIONS

  • Support management

  • Process management

  • HR management

  • Project management

  • CTO (infrastructure, IS, security, …)

  • Speaker

  • Trainer and lecturer for Grandes Écoles (HEC, Centrale-Supelec, ESGI)

 

Amine Benhenni

Enhance the value of the data by making the technical solution converge with business needs, through a rigorous scientific approach.
— Amine Benhenni
ab_profil_gp.JPG
 

PhD in Theoretical Physics and Data Scientist, Amine has 7 years of experience in Industrial Data Science. He is also a lecturer and trainer in Data Science and Big Data Technology. Amine is an expert in Data Science and Data Analysis. He has been working for several years with startups and large groups on data valuation and data driven disruption in companies. He develops a pragmatic Artificial Intelligence, at the heart of PowerOP®, offering SaaS for plants and industrial processes in physico-chemical and life science.

FUNCTIONS

  • Data Science Expert

  • Scientific management

  • Management of the development of the solution PowerOP®

  • Speaker

  • Trainer and lecturer for universities, Grandes Ecoles and institutes (Université Paris Saclay, Centrale-Supelec, IEPA, HEC, Telecom)

PUBLICATIONS

  • Pragmatic Big Data and smart manufacturing, EDP Sciences.

  • L’apport de l’intelligence artificielle dans l’optimisation et la maîtrise des processus industriels, Revue TELECOM.

  • Bases de données orientées graphes ave Neo4j, ed. Eyrolles.

  • Les données et l'expérience du réel - contribution à « L'humain dans le numérique et le Big Data », ed. Ecole Polytechnique d’Assurance.

  • Big Data : de la solution technologique à la création de valeur, LeMagIT.

Contact-us

contact@dataswati.com

1 Rue Galvani, 91300 Massy

Dataswati_logo_10-2019.png