re:Invent Roundup 2020 with Swami Sivasubramanian

EPISODE 437
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About this Episode

Today we're kicking off our annual re:invent series joined by Swami Sivasubramanian, VP of Artificial Intelligence, at AWS. During re:Invent last week, Amazon made a ton of announcements on the machine learning front, including quite a few advancements to SageMaker. In this roundup conversation, we discuss the motivation for hosting the first-ever machine learning keynote at the conference, a bunch of details surrounding tools like Pipelines for workflow management, Clarify for bias detection, and JumpStart for easy to use algorithms and notebooks, and many more. We also discuss the emphasis placed on DevOps and MLOps tools in these announcements, and how the tools are all interconnected. Finally, we briefly touch on the announcement of the AWS feature store, but be sure to check back later this week for a more in-depth discussion on that particular release!
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Thanks to our sponsor Amazon Web Services

AWS offers a broad array of services and infrastructure at all three layers of the machine learning technology stack. More than 100,000 customers trust AWS for Machine Learning, and the company aims to put ML in the hands of every developer, data scientist, and enthusiast with newly announced offerings like Amazon CodeWhisperer, a new ML-powered pair programmer that helps developers improve productivity by reducing the time to build software applications significantly.

To learn more about AWS machine learning services, and how they’re helping customers accelerate their machine learning journeys, visit stage.twimlai.net/go/awsml.

And also be sure to check out stage.twimlai.net/go/sagemaker to sign up for SageMaker Studio Lab.

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