Powered by OpenAIRE graph
Found an issue? Give us feedback

Knowledge Overlap, Iterative Development, and Machine Learning Project Success

Funder: Carlsberg FoundationProject code: CF24-0760
Funded under: Field Trips / Research Stays < 100,000

Knowledge Overlap, Iterative Development, and Machine Learning Project Success

Description

Organizations are making massive investments in artificial intelligence technologies such as Machine Learning (ML). Yet, ML project fail often due to high uncertainty. In this research, we conduct a survey to examine how organizations can cope with the high uncertainty of ML projects. The project is a collaboration between the IT University of Copenhagen and the University of Auckland.What? Why? How?

Data Management Plans
Powered by OpenAIRE graph
Found an issue? Give us feedback

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.

All Research products
arrow_drop_down
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=cf__________::0228fff6ac6ff6cff172ec6f313087b8&type=result"></script>');
-->
</script>
For further information contact us at helpdesk@openaire.eu

No option selected
arrow_drop_down