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Alteryx Helps Accelerate Deployment and Management of Machine Learning Models on AWS

By   /  December 5, 2017  /  No Comments

by Angela Guess

According to a recent press release, “Alteryx, Inc., a leader in self-service data analytics, today announced that customers can take advantage of one-click, self-service predictive model deployment capabilities of the Alteryx solution on Amazon Web Services (AWS). Alteryx has also achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. The designation recognizes Alteryx for providing business analysts, data scientists and ML practitioners with automated, cutting-edge tools to create and deploy predictive models on AWS.”

The release goes on, “Deployment of predictive models continues to be a major challenge for many companies, with only 13% of data scientists surveyed by Rexer Analytics saying their models always get deployed. Alteryx Promote was designed to help customers address the labor-intensive process of getting models into production by providing an end-to-end data science system for developing, deploying and managing predictive models and real-time decision APIs. Alteryx Promote was also designed to allow data scientists and analytics teams to build, manage and deploy predictive models to production faster — and more reliably — without the need for writing any custom deployment code.”

Mark Gately, director of decision science at Tendril, Inc., commented, “Our analytics team was losing ownership of our predictive models and we wanted something that was easy to deploy, reliable, and worked within our AWS production environment… The Alteryx solution allows Tendril’s Data Analytics team to control models through the entire data science lifecycle, from prototyping through to development and retraining.”

Read more at Business Wire.

Photo credit: Alteryx

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