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Analytic Deployment Stacks and Frameworks (Part 1): Motivation

Garrett Long February 9, 2017
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This is part 1 in a multi-part series discussing an approach to effective deployment of analytic models at scale.  

It’s 2017. Your organization has been collecting valuable data for several years.  The organization you work for is somewhere on the spectrum of analytic maturity from “we just hired our first data scientist” to “we are in the credit scoring business and have been developing critical analytics for decades”.

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FastScore v1.2 - We live to deploy your data science models

Garrett Long November 10, 2016
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It's been a little while since we had a blog post, as we've been heads down on software development.  We've been working on improving FastScore with our partners and customers, as well as the input we are receiving from the market.  It's really exciting to announce FastScore v1.2 today, which marks the 3rd release in 6 months of the product.  The feature velocity is gaining steam, as are the demos.  

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AnalyticOps: Part 4 - What is AnalyticOps?

Garrett Long June 8, 2016
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How is AnalyticOps different than DevOps or Data Science?

Well, it took four parts to get to this point, but we’ve used our time to discuss some of the abstractions that are required to understand the idea referred to as “AnalyticOps”. Our journey started with the abstract concept of “what is an analytic” while the second covered the operative concept of “deploying” the analytic with an analytic engine or deployment server.  

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AnalyticOps: Part 3 - What is an Analytic Engine?

Garrett Long May 25, 2016
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How are Analytic Engines different than “deployment servers”?

Well, did you do last week's homework? If you used the emerging analytic standards of PFA or PPFA to create an analytic for trajectory planning, please send it to info@opendatagroup.com. You just might get a job offer! Heck, if you use the open source tools Aurelius or Titus to convert your R or Python models to PFA we’d love to hear it, and share your work with the growing community of analytic engine users.

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