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

4 September 2024

AI Lifecycle (Glossary)

4.4
(1550)

The term AI lifecycle is particularly at home in the fields of artificial intelligence, automation and digital transformation. It describes the entire lifecycle of an AI solution - from the initial idea through to daily use and regular improvement.

The AI lifecycle starts with problem definition: a company recognises that there is a problem that can be better solved with artificial intelligence, for example predicting product demand. Data is then collected and prepared, as no AI can work without high-quality data. In the next step, a suitable AI model is developed to fulfil the desired tasks.

After development, the model is tested and checked to see if it works reliably. If everything is OK, the AI is integrated into the company processes and begins to take on real tasks - for example, creating forecasts for the warehouse. But the AI lifecycle does not end there: the AI continues to be monitored and regularly optimised so that it can adapt to new conditions.

The AI Lifecycle ensures that solutions with artificial intelligence remain sustainable, secure and effective.

How useful was this post?

Click on a star to rate it!

Average rating 4.4 / 5. Vote count: 1550

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

Share on the web now:

Other content worth reading:

Discover how the AI Lifecycle makes AI projects successful - from idea to optimisation. 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