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 First Steps Towards Artificial Intelligence

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

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
5
Jun 2018

Visualize the uses of AI and analytics with this interactive tool

English
4
Apr 2018

McKinsey - An executive’s guide to AI

English
9
May 2018

Manufacturing Brands That Make Use of Artificial Intelligence

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
21
Oct 2024

Comment tirer parti des données pour accélérer l’amélioration continue des processus de fabrication

La technologie de monitoring de la production favorise l'amélioration continue des processus de fabrication, fournissant des insights précieux et des indicateurs clés de performance traçables. Découvrez comment démarrer.

French
16
Oct 2024

How to Leverage Data to Jumpstart Continuous Manufacturing Process Improvement

Production monitoring was made for continuous manufacturing process improvement, delivering valuable insights and trackable KPIs. Learn how to get started.

English
30
Jul 2024

Qu'est-ce que la cadence dans le secteur manufacturier

À l’aide d’exemples concrets et d’informations pratiques, découvrez pourquoi calculer et monitorer la cadence sont votre voie vers une production optimisée.

French