The desire for automation is a fact of modern data management, whether it be data integration, metadata management, data quality or other related initiatives. The current adoption of AI and machine learning suggests this reality.

Based on 451 Research's Voice of the Enterprise: AI & Machine Learning, Use Cases 2022 survey, 76% of respondents report that 'purchasing applications with embedded ML capabilities' is a strategy currently used, or soon to be used, by their organization.

Read the full report to learn how Anomalo plans to package that automation – specifically, unsupervised learning – to help build a data quality and observability layer for the modern data stack so issues can be detected and remediated before they become problems in downstream enterprise data consumption.