According to a new press release, “Immuta, the leading provider of enterprise data management solutions for artificial intelligence (AI), today unveiled new features that can dramatically reduce the cost and risk of running data science programs in the cloud. The company also announced the creation of a new business unit dedicated to building managed cloud-services for its customers. According to 451 Research’s Voice of the Enterprise AI/ML survey¹, over 50% of all organizations developing or deploying machine learning software highlighted public cloud as the favored development environment. However, as organizations move data science programs to the cloud, they often struggle to comply with stringent data privacy requirements, such as the EU General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), and therefore aren’t able to fully capitalize on the benefits of cloud economics. Also, enterprises must create multiple copies of the data per policy, which in turn, also requires the creation of a separate Amazon Elastic MapReduce (EMR) cluster per user permission role – which dramatically increases cost and operational complexity.”
The release goes on, “The Immuta platform enables enterprises to quickly operationalize data for their machine learning and advanced analytics programs while easily meeting policy and compliance requirements. This eliminates ad hoc policy enforcement that typically encumbers data owners and slows down the process of sharing data across teams and projects. With its latest platform release, Immuta has eliminated the need for enterprises to create and prepare dedicated data copies in Amazon S3 for each policy that needs to be enforced. This allows for true multi-tenancy on a single Amazon EMR cluster through dynamic policy enforcement.”
Read more at Business Wire.
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