re:Invent Roundup 2020 with Swami Sivasubramanian
EPISODE 437
|
DECEMBER
14,
2020
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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!
About the Guest
Swami Sivasubramanian
Amazon AI
Resources
- Blog: Amazon SageMaker Edge Manager Simplifies Operating Machine Learning Models on Edge Devices
- Blog: Amazon SageMaker Clarify Detects Bias and Increases the Transparency of Machine Learning Models
- Blog: Profile Your Machine Learning Training Jobs With Amazon SageMaker Debugger
- Blog: Managed Data Parallelism in Amazon SageMaker Simplifies Training on Large Datasets
- Blog: Amazon SageMaker Simplifies Training Deep Learning Models With Billions of Parameters
- AWS News Blog