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MLOps for Production-Level Machine Learning


Think About Your Audience Before Choosing a Webinar Title

Sponsored by Red Hat Marketplace and CNVRG

Friday, October 16, 2020
1 pm EDT

MLOps (a compound of “machine learning” and “operations”) is a practice for collaboration and communication between data scientists and operations professionals to help manage the production machine learning lifecycle. Similar to the DevOps term in the software development world, MLOps looks to increase automation and improve the quality of production ML while also focusing on business and regulatory requirements. MLOps applies to the entire ML lifecycle - from integrating with model generation (software development lifecycle, continuous integration/continuous delivery), orchestration, and deployment, to health, diagnostics, governance, and business metrics.

In this webinar, we’ll discuss core practices in MLOps that will help data science teams scale to the enterprise level. You’ll learn the primary functions of MLOps, and what tasks are suggested to accelerate your team's machine learning pipeline. Join us in a discussion with data science experts from cnvrg.io, and learn how teams use MLOps for more productive machine learning workflows.

Key webinar takeaways:

  • Reduce friction between science and engineering
  • Deploy your models to production faster
  • Health, diagnostics and governance of ML models
  • Kubernetes as a core platform for MLOps
  • Support advanced use-cases like continual learning with MLOps
Yochay Ettun
CEO and Co-founder - cnvrg.io
Yochay is an experienced tech leader and has been named in the 2020 Forbes 30 under 30 list for his achievements in AI advancement and for building cnvrg.io. Since the age of 7 Yochay has been writing code. He served in the Israeli Defence Force Intelligence unit for 4 years, and studied Computer Science at the Hebrew University of Jerusalem (HUJI) where he founded the HUJI Innovation Lab. Yochay lead as the former CTO of Webbing labs, and has been consulting companies in AI and machine learning. After 3 years of consulting, Yochay, along with Co-founder Leah Kolben decided to create a tool to help data scientists and companies scale their AI and Machine Learning with cnvrg.io. The company continues to help data science teams from Fortune 500 companies manage, build and automate machine learning from research to production.


What You’ll Learn in This Webinar

You’ve probably written a hundred abstracts in your day, but have you come up with a template that really seems to resonate? Go back through your past webinar inventory and see what events produced the most registrants. Sure – this will vary by topic but what got their attention initially was the description you wrote.

Paint a mental image of the benefits of attending your webinar. Often times this can be summarized in the title of your event. Your prospects may not even make it to the body of the message, so get your point across immediately.  Capture their attention, pique their interest, and push them towards the desired action (i.e. signing up for your event). You have to make them focus and you have to do it fast. Using an active voice and bullet points is great way to do this.

Always add key takeaways. Something like this....In this session, you’ll learn about:

  • You know you’ve cringed at misspellings and improper grammar before, so don’t get caught making the same mistake.
  • Get a second or even third set of eyes to review your work.
  • It reflects on your professionalism even if it has nothing to do with your event.