Moving fast without breaking data: Governance for managing risk in machine learning and beyond
How do you resolve the tension between the need to build and deploy accurate machine learning models fast, and the need to understand how those models work, what data they touch upon, and what are the implications? Immuta says data governance is the answer.
Immuta is a startup providing a data management platform for data science. In this GDPR era, when everyone should be conscious about what they do with their data, a data management platform sounds like a good idea. That may help explain why Immuta just raised a $20 Million Series B round to help build its platform.
Data management, however, is a term that may be directing many data professionals to think about how data is managed on the physical layer. While that also comes into play, when we talk about managing data on the organizational level, things such as data provenance and access rights are more relevant than, say, data storage schemes or indexing strategies.