re:Invent Roundup 2021 with Bratin Saha

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

About This Episode

Today we’re joined by Bratin Saha, vice president and general manager at Amazon. In our conversation with Bratin, we discuss quite a few of the recent ML focused announcements coming out of last week’s re:Invent conference, including new products like Canvas and Studio Lab, as well as upgrades to existing services like Ground Truth Plus. We explore what no-code environments like the aforementioned Canvas mean for the democratization of ML tooling, and some of the key challenges to delivering it as a consumable product. We also discuss industrialization as a subset of MLOps, and how customer patterns inform the creation of these tools, and much more!

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Thanks to our Sponsor!

I want to send a huge thanks once again to our friends at Amazon Web Services for their support of the podcast and their sponsorship of this year’s re:Invent series.

AWS offers a broad array of services and infrastructure at all three layers of the machine learning technology stack, ranging from high performance compute instances running the latest GPUs and custom-designed silicon for training and inference, to the Amazon SageMaker family of services that allows data scientists and developers to quickly build, train, and deploy high-quality models, to a full complement of AI services for use cases like demand forecasting, fraud prevention, personalized recommendations, document analysis, and much more.

More than 100,000 customers trust AWS for Machine Learning, and the company aims to put machine learning in the hands of every developer, data scientist and enthusiast with newly announced offerings like Amazon SageMaker Studio Lab which offers free JupyterLab Notebooks, GPU Compute and Storage for your machine learning projects.

To learn more about AWS machine learning services, and how they’re helping customers accelerate their machine learning journeys, visit aws.amazon.com/machine-learning/

And also be sure to check out studiolab.sagemaker.aws to sign up for SageMaker Studio Lab.

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