AI projects

Planning of AI project

For businesses, practical AI applications can manifest in all sorts of ways depending on your organizational needs and the business intelligence insights derive from the data you collect. Enterprises can employ AI for everything from mining social data to driving engagement in customer relationship marketing to optimizing logistics and efficiency when it comes to tracking and managing assets. Anyhow, the following steps are recommended in the AI project planning for a SME:

 


1. Get familiar with AI
2. Identify the problems to be solved
3. Prioritize concrete value
4. Possible use of AI canvas
5. Choose the algorithms 
6. Train the algorithms 
7. Choose a particular programming language
8. Run on a selected platform
9. Bring in experts for setting the pilot project

Self reflection exercises

Think about what current employees need to know about AI before starting to design AI project.

Self-reflection

Think about what current employees need to know about AI before starting to design AI project.

Provide an answer

Give 3 examples of usage and adoption of artificial intelligence in SMEs

Exercises

Exercise: True / False

An AI project does not require careful planning

Exercise: True / False

The first and most important step in an AI project is to choose the programming language

Exercise: True / False

Using AI Canvas it is mandatory for AI Projects planning.

Exercise: True / False

AI can help in problems using tasks automation.

Exercise: True / False

If there is not a repetitive task, AI it is not the right approach to the problem

Erasmus logo
The European Commission's support for the production of this publication does not constitute an endorsement of the contents, which reflect the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
cookieCookies help us deliver our services. By using our services, you agree to our use of cookies.