ML Workshop 3: Machine Learning in Production - Feb. 6, 2018

Document created by maprcommunity Employee on Jan 25, 2018
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February 6, 2018 

10am PT / 1pm ET / 6pm BST

Topic:Machine Learning in Production

ML Workshop 3: Machine Learning in Production   



How Rendezvous Architecture Makes This Easier in Real World Settings


This third deep dive workshop in our machine learning logistics webinar series focuses on how to better manage models in production in real world business settings. The workshop will show how key design characteristics of Rendezvous Architecture makes it easier to manage many models simultaneously and to safely roll-out to production, how to achieve scaling and what the limitations for Rendezvous are.


Join us Tuesday February 6th as Ted will cover the role of containerization for models, serverless model deployment, how speculative execution works and when to use it, how to fold in the requirements of SLAs for practical business value from machine learning, and how the rendezvous architecture can deliver reliability in production. Ted will explain how these methods for machine learning management play out in a range of case histories such as retail analytics, fraud scoring, ad scoring and recommendation.



Ted Dunning, Chief Application Architect of MapR



The Exchange

Re: [Book Discussion] - Model Management in the Real World

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