Wednesday, September 26, 2018

[Live Webinar] Still time to register for tomorrow!

[Webinar Announcement] MLOps: Machine Learning Operationalization

Hi sherly,

We wanted to make sure you knew about tomorrow’s Webinar: MLOps: Machine Learning Operationalization.

Join us on September 27 at 10:00AM PST / 1:00PM EST for a live webinar hosted by us.

This Webinar will provide insight for DevOps and Engineering Leads tasked with operationalizing machine learning models as well as how to shift their DevOps to MLOps.

Come hear from Nisha Talagala, CTO & VP Engineering, ParallelM; Boris Tvaroska, Global Artificial Intelligence Lead, Lenovo, as well as Dana Crane, Product Marketing Manager, ActiveState, regarding processes, tools and use cases for machine learning.

We know the challenges organizations face when crossing the last mile, or operationalizing their machine learning models. Successfully pushing ML to production requires a shift in your DevOps practices to become MLOps, machine learning operationalization.

In the webinar, Nisha, Boris and Dana will cover:

  • The last mile - from Data Science to Business ROI
  • What makes ML uniquely challenging in production
  • Automating the production ML lifecycle
  • MLOps, DevOps and SDLC - how to integrate for automation, scale, and collaboration

Can’t make it to the webinar? Register anyway, and we’ll send you a link to the recorded session once it’s available.


Best Regards,

Jason Kamara
ActiveState Team

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