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As previously mentioned, DLab is under active development at EPAM Systems, and is being used in a number of production deployments:

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    \[An investment company\] is using DLab as an AWS-based analytics platform for their data scientists to provide a convenient way to perform multi-tenant data analytics. This enables data scientists to easily provision work environments with integrated data sources based on Elasticsearch, Apache HBase, and Neo4j, and utilizing Apache Spark. This enabled a “one click”, self service option for users to provision an environment with the necessary tools and data.
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    \[An electronics manufacturing company\] leverages DLab for data quality, data exploration, and analytics. The company’s data scientists leverage DLab to work with data sources that have been transferred to the cloud in order to find new insights on the data, and help the implementation team define requirements for data engineering. The main goal is to increase the utilization of various tools by decreasing time to deployment.
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    \[A retail company\] is using DLab as an image recognition framework, to enable automated restocking of inventory.
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    \[A travel company\] is using DLab to create recommendation engine that will allow end users to find more relevant accommodations faster and at a lower cost.
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Meritocracy

We value meritocracy and we understand that it is the basis for an open community that encourages multiple companies and individuals to contribute and be invested in the project’s future. We will encourage and monitor participation and make sure to extend privileges and responsibilities to all contributors.

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