kiroi.org

AIROI - Artificial Intelligence Return on Invest
The AI strategy for decision-makers and managers

Business excellence for decision-makers & managers by and with Sanjay Sauldie

AIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

8 August 2025

Scenario modelling for AI (Glossary)

4.9
(1333)

Scenario modelling for AI is particularly at home in the fields of artificial intelligence, automation, big data and smart data. It describes a method for designing and testing different "what-if" situations for an AI. This allows you to test how well an AI reacts in different, even unexpected situations.

Scenario modelling trains an artificial intelligence to act flexibly. For example, an AI in a factory can be shown several scenarios: What happens if a machine suddenly breaks down? Or how does it react to a sudden change in the supply of materials? All of these situations can be simulated in the computer and the AI can learn from them without any disruptions occurring in reality.

The big advantage for companies: Risks can be recognised and processes made more secure. Scenario modelling for AI is therefore an important step in ensuring that intelligent systems become reliable and can also solve unusual problems independently.

How useful was this post?

Click on a star to rate it!

Average rating 4.9 / 5. Vote count: 1333

No votes so far! Be the first to rate this post.

Share on the web now:

Other content worth reading:

Discover how scenario modelling for AI minimises risks and optimises your processes. Find out more now!

written by:

Keywords:

#3DPrint 1TP5InnovationThroughMindfulness #Cost savings #Supply chain #Value added

Follow me on my channels:

Questions on the topic? Contact us now without obligation

Contact us
=
Please enter the result as a number.

More articles worth reading

Leave a comment