19 Jun
2019

5 First Steps Towards Artificial Intelligence

An article from the Harvard Business Review offers 5 first steps for companies that want to integrate artificial intelligence into their operations or products.

Artificial Intelligence
Industry 4.0
Smart Factory
Technology
IIoT
5 premiers pas vers l'intelligence artificielle

Harvard Business Review has published an article: "The 5 Things Your AI Unit Needs to Do" which presents 5 most successful initiatives to start your shift to AI.

According to the European Center for Strategic Innovation (ECSI), which has surveyed the most successful companies in their implementation of AI units, the first steps to take are:

  1. Scouting AI technology, applications, and partners. Companies must have in-house AI hunters who will identify innovations, key players and emerging companies that may become partners.
  2. Experimenting with AI technology and applications. By undertaking pilot projects that adapt well to the company's concrete projects, it is possible to quickly determine the best approach to implement. These can be AI initiatives developed by an internal team or partnerships with startups that have innovations adapted to the reality of the company
  3. Supporting business units in applying AI technology. The goal of integrating AI into an organization is to align it perfectly with business and business models. Teams of data scientists must work closely with operators to ensure that the developed AI contributes to the better turnover of operations.
  4. Getting the entire organization to understand AI. For the power of artificial intelligence to be fully expressed, AI leaders of the company must educate the entire team to be part of this shift. Employees need to understand the value of AI and leaders must ensure to keep the exchanges simple and concrete so as not to dull the interest of their colleagues whom might be less experienced. To do so, the company oughts to take a stand on the issue of artificial intelligence and clearly communicate its orientations to its troops. The human resources department has to address the issue of training and updating skills to ensure that teams are equipped for the AI shift.
  5. Attracting and retaining talent. Some companies will make business acquisitions with AI expertise that is perfectly suited to their field, while others will set up an internal IA department and recruit new talent and offer training to their employees who wish to develop their potential. in this avenue. The competition will be fierce with the massive rise of AI and the positioning of Montreal as a global AI pole.

 

HBR suggests that each organization or AI-driven team should position themselves on this spider-graph based on their context, goals and constraints. 

HBR_Chart_your_company_AI_Capabilities

To read HBR's full article on the topic, click here

 

 

Want to learn more?
Download the ebook
Related blog articles

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
18
septembre 2019

Événement Réseau PDG

French
7
Nov 2019

Pas encore connectés? Monitorez le coût des temps d'arrêt dans l'industrie agroalimentaire

French
26
Mars 2019

Production alimentaire 4.0: La preuve est dans le data

French

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
13
mars 2024

Engines of Manufacturing Efficiency: Machine Monitoring and OEE

Machine Monitoring and OEE (Overall Equipment Effectiveness) are effective at boosting overall efficiency, but what is the difference between them and what is best for your operations?

English
20
Fév 2024

Comment les entreprises ont mis en oeuvre les 14 points de Deming dans le secteur manufacturier

Les 14 points de gestion de Deming ainsi que la suite d'outils de performance de Worximity stimulent l'amélioration et l'innovation dans le secteur manufacturier.

French
16
Fév 2024

Principales différences entre la fabrication discrète et la production par processus

Découvrez le rôle essentiel que joue votre logiciel dans la fabrication discrète et dans la production par processus.

French