State of AI adoption in Europe: How
high performers generate value

There's been a severe lack of data available on the state of AI in Europe. We at StageZero decided to remedy this and contribute to the AI community by making available to everyone the data we have gathered from surveying companies in Europe.

In 2022, we asked companies throughout Europe how they generate value through developing and using AI. Here are a few of our key takeaways.

"We have identified several correlations between
company practices and how well they perform
when adopting AI.

I was positively surprised to find that most companies seem to be realizing value out of their implementations.”

Key takeaway - 92% say access to data is an issue

Key takeaway - Partnering boosts success

“High performers are more willing to turn to external data
providers for help and solve problems with training data.”

56% of high performers generate value from partnering with external data
providers, while only 19% of the others do.

“I was surprised to see that the overwhelming
majority of companies considers regulatory
compliance an issue in AI adoption.”

Key takeaway - High performers generate value by using MLOps

“All high performers monitor their models, with 56% monitoring
some deployed models and the rest monitoring all.”

MLOps are practices for maintaining and retraining machine learning models once they are deployed and taken into use.

Download the full report to see the rest of the results!