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.
2
Jul 2019

Réussir dans l'Industrie 4.0 avec le leadership agile

French
30
May 2019

L'état des emplois dans l'industrie manufacturière à l'ère 4.0

French
22
May 2019

Quel type de leader 4.0 êtes-vous?

French

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
5
Sep 2023

Your Guide to Digital Transformation with Worximity

With Worximity, you don’t just get a technology provider, you get a partner who supports you throughout your manufacturing digital transformation.

English
7
Sep 2023

Mitigating Debt Servicing Challenges with Production Monitoring

Interest rates are up, and demand is down. Strapped with higher loan repayments many of today’s manufacturers are caught in the middle. Read how optimizing manufacturing operations is mitigating the challenges of debt servicing.

English
24
Aug 2023

Simplifying Adoption of Smart Technology for Manufacturers of All Types and Sizes

It's time we stopped talking about the challenges plaguing manufacturers and started focusing more on the solutions and opportunities that can help mitigate them.

English