Subject archive for "domino," page 4

In this article we explain how we’re using Kubernetes to enable data scientists to deploy predictive models as production-grade APIs.

Every day, 100,000 new escort ads are posted online. That is according to Thorn, a nonprofit that fights child sexual exploitation through technology innovation. Other studies by Thorn on the underage sex trafficking situations of survivors have shown that 63% of them had been advertised online at some point. The massive online commercial sex market is extremely difficult to fight, which has inspired the start of an annual hackathon to bring cross-industry experts together to work on child safety.

We’re pleased to announce that Coatue Management has led a $27 million funding round for Domino, which included our previous investors Sequoia Capital, Zetta Venture Partners, and Bloomberg Beta.

More than two years ago, we wrote about the misguided fear of the cloud among many enterprise companies. How quickly things change! Today, every enterprise we work with is either using the cloud or in the process of moving there. We work with companies that insisted, just two years ago, that they “can’t use the cloud” — and are now undertaking strategic initiatives to have “real work in AWS by the end of 2017.” We see this happening across industries including finance, insurance, pharmaceuticals, retail, and even government.

We have seen an explosion of interest among data scientists who want to use GPUs for training deep learning models. While the libraries to support this (e.g., keras, TensorFlow, etc) have become very powerful, data scientists are still plagued with configuration issues that limit their productivity.

Managing “environments” (i.e., the set of packages, configuration, etc.) is a critical capability of any Data Science Platform. Not only does environment setup waste time on-boarding people, but configuration issues across environments can undermine reproducibility and collaboration, and can introduce delays when moving models from development to production.