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Source: Capital avec Management as of 16-04-2020


Reporting in a school like  no other, where managers learn to familiarize themselves with this technology and to understand the  issues related to it, with more serenity.

“Today,  algorithme we’re going to build a spam detection algorithm from  Bayes’ theorem.”  On this Wednesday evening in December in Paris, Dominique Monera, founder of the AI Académie ( welcomes three trainees in its Paris premises.  On the benches, Hédi Abdesselem,manager in an insurance group, Thomas Rocafull, associate bank  director at SIA Partners and Romain Malbosc, film producer. 

Zero fiber data scientist at home but a curiosity for artificial intelligence that is progressing in their respective  fields, and a willingness to master the workings so as not to be dropped.  This is the whole idea of this training, created at the end of 2018 by Dominique Monera, for novice managers: “When you follow an awareness of  artificial intelligence, you lift the hood. We go into the detail of the  algorithms,we give practical cases of use in different fields of activity.”

Logistic and  linear regressions, networks of convoluted neurons, recurrent or generative … Those enrolled in the two-hour session called Algorithm Design Introduction have all already completed artificial intelligence awareness training and are  therefore familiar  with these technical terms. Crucial at the time of dialogue with the increasingly en numerous and influential technical teams within companies. As Dominique Monera points out: “We realized that some managers want to be more comfortable in their daily lives with the AI experts integrated into their services.” 

Know how to manage a variety of profiles

Companies tend  to recruit or  use data scientists. For managers, understanding the often coded language of these specialists becomes  essential. “Technicians sometimes hide behind their jargon. Having some knowledge helps to better understand what they want to do. We can ask a little more about the  methodology, why they prefer it to another,” says Thomas Rocafull. This skill is all the more important because the manager becomes the translator and intermediary between business experts and data scientists.

“These scientists  may tend to run tests in all directions sens without questioning the consistency of these variables.” Hence the need to work in collaboration with business experts, to frame the research. “We realize that some variables are common sense,” agrees Fabienne Salètes, founder of Digi Activity, a former intern at the AI Academy.

Better integrate AI into its services

Better knowledge of AIis c’est also better to respond to the demands of potential providers.  Bastien Lefèvre was a sales manager in an  industrial group when he met connaissance entrepreneurs offering to incorporate  artificial intelligence into his pricing: “I didn’t know anything about it. I asked a few questions but I quickly reached  my limits.” Since the introductory course in the design of an algorithm, this forty-year-old in professional retraining now knows how to react to such a proposal. “I could have asked the founders more precisely: how did you develop these algorithms? What database will you use?  I could have had some much more accurate reading keys,” he says.

Gaining  legitimacy and en influence

Being able to talk about artificial intelligence also makes you credible with  your hierarchy. In his insurance group, Hedi Abdesselem is at the BtoB marketing directorate. If for a long time,machine learning and artificial intelligence were more developed on the BtoC segment,  he was able to argue to make things happen in favor of his clientele. “Having followed such a course is a means of lobbying -t- internally to obtain resources in terms of data scientists,” he says..

It’s also a great way to allay the fears of its teams: “When you have  en  employees who start to worry about the future of their profession, with this type of training, you can reassure them, by explaining the limits of technology and the areas in which it really  applies.” An opinion shared by Thomas Rocafull:  “Will robots take our places? In banking and insurance,we are asked this question all the time. Now I can answer that no. AI is a  decision-making tool. It improves  the sales process but is not a substitute for man.”

Choosing the right training

For an  in-depth initiation or learning,  our selection of the best programs. .

Long training:

  • MBA Management of Artificial Intelligence at the Leonardo da Vinci Institute

Nine months, fifteen places, teachings applied to the company. This MBA – which  alternates  periods of courses and seminars spread over three days every two weeks – welcomes both professionals and  students in initial training. .

It  costs: 10,900 euros.

  •  ESG Artificial Intelligence MBA

New, this two-year MBA offers a dual-skill training course: technical and managerial courses. On the program:  governance of organizations, intelligence and creativity organisations or mathematics modules applied to AI.

It costs:  between 7,950 and 8,350 euros for the first year and between 9,250 and 9,650 euros for the second..

  • Ionis STM MBA Management and Artificial Intelligence

In the first  year,the modules focus on management, marketing, management, new technologies in the light of cyber insurance, software development or data. The last year is dedicated to AI.

Price: 9,150 euros for the preparatory year or the first year of MBA and 8,530 for the second year of MBA.

Short courses:

  • IA Start Catalix by Devoteam

One-day artificial intelligence introductory program, reserved for managers to address ethical l’intelligence issues,the panorama of industry players or dialogue market opportunities with stakeholders. Two possible formats:  inter-company, once a  month or so in Paris or Aix-Marseille, or intra-enterprises.entreprises.

It costs:  950 euros a day for business-to-business formats.

  • Demain.AI

The ambition is to spread a culture of AI and data within  companies: strategy consulting, acculturation programs for managers, conference cycles… But also a podcast entitled  “Artificial intelligence for business” addressing topics such as The life cycle of AI for business or AI revolutionizes local information. 

Price:  on average between 700 and 1000 euros per person for interventions.

  • Mooc: Artificial Intelligence for All, Cnam

Designed and enriched by Cécile Dejoux, this moon offers interviews collected in Harvard, Boston or Montreal and is present on the FUN platform and directed by Cnam..  It allows five weeks to go around the different sequences  consisting of videos, case studies and QCM. Registration is available until June 15. .

Price: free if you only want a certificate, 60 euros for certification.

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