CC CDQ Expert Survey “Machine learning techniques for data management – implementation status and future potential”
Competence Center Corporate Data Quality (CC CDQ)
Dear Data Management Professionals,

The following survey is conducted by the Competence Center Corporate Data Quality (CC CDQ) to assess the role and future potential of machine learning (ML) in data management. To identify areas in which ML can be used to support data management and improve data quality, we analyzed 42 ML use cases (published in scientific literature, by tool providers or companies). The bottom line of this analysis is: ML has the potential to significantly enhance data management practices.

In this survey, we ask you to evaluate ML techniques supporting four data management activities:
1. Acquire and create
2. Unify and maintain
3. Protect and retire
4. Discover and use

The survey will take 10 minutes.

If you want to receive the results of the survey and further information, please fill in the optional contact information in the next section.

For any questions or suggestions, please contact martin.fadler@unil.ch.

Next
Never submit passwords through Google Forms.
This content is neither created nor endorsed by Google. Report Abuse - Terms of Service