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With Adarsh Shah (Devopsdays).
Thursday, September 17, 2020 at 05:00 PM   Absolutely Free

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Note: This is a virtual event. We will share the conference call details closer to the event.

5:00pm - Talk + Q&A
5:45pm - Socialize

Title: Continuous Delivery for Machine Learning

Speaker: Adarsh Shah

Continuous Delivery has been a key approach for deploying changes for Traditional Software to Production safely & quickly in a sustainable way.

Machine Learning (ML) is fundamentally different than Traditional Software. Typical ML workflow includes Data Management, Experimentation (Model Training & Development), Model Deployment, & Prediction. Training a model takes hours & sometimes days & typically deals with a large dataset. Training & Model Prediction also requires special resources like high-density cores & GPUs. Due to these reasons & others, ML systems have their own challenges deploying to Production.

In this presentation, we will look at those top challenges deploying ML systems to Production & how Continuous Delivery Principles can help solve those challenges so that ML systems can also be deployed safely & quickly in a sustainable way to Production. We will also be looking at different tools available to enable Continuous Delivery for Machine Learning.

Speaker Bio:

Adarsh Shah is an Engineering Leader, Coach, Public Speaker, Hands-on Architect & a Change Agent. He is also an organizer for Devopsdays NYC conference & devopsnyc meetup. Adarsh has a keen interest in building systems that add business value. He is an independent consultant passionate about helping clients with Software Architecture/Development, Leadership Enablement/Coaching & DevOps/Cloud needs by looking at both technical as well as non-technical aspects. These days, he is excited about working with Machine Learning & Cloud-Native technologies. Find out more about Adarsh at or reach him on twitter at @shahadarsh.

In his spare time, he enjoys playing cricket, traveling, & trying new whiskies.

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