Bratin Saha's guest appearances

Bratin Saha

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

InnovAItors

The Six Five with Patrick Moorhead and Daniel Newman

Orchestrate all the Things podcast: Connecting the Dots with George Anadiotis

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Amazon just unveiled Serverless Inference, a new option for SageMaker, its fully managed machine learning (ML) service. The goal for Amazon SageMaker Serverless Inference is to serve use cases with intermittent or infrequent traffic patterns, lowering total cost of ownership (TCO) and making the service easier to use. We connected with Bratin Saha, AWS VP of Machine Learning, to discuss where Amazon SageMaker Serverless fits into the big picture of Amazon’s machine learning offering and how it affects ease of use and TCO, as well as Amazon’s philosophy and process in developing its machine learning portfolio. Article published on VentureBeat

<a href="https://aws.amazon.com/blogs/aws/amazon-sagemaker-serverless-inference-machine-learning-inference-without-worrying-about-servers/" rel="nofollow" target="_blank">Amazon just unveiled Serverless Inference</a>, a new option for SageMaker, its fully managed machine learning (ML) service. The goal for Amazon SageMaker Serverless Inference is to serve use cases with intermittent or infrequent traffic patterns, lowering total cost of ownership (TCO) and making the service easier to use. We connected with Bratin Saha, AWS VP of Machine Learning, to discuss where Amazon SageMaker Serverless fits into the big picture of Amazon’s machine learning offering and how it affects ease of use and TCO, as well as Amazon’s philosophy and process in developing its machine learning portfolio. <a href="https://venturebeat.com/2022/04/21/sagemaker-serverless-inference-illustrates-amazons-philosophy-for-ml-workloads/" rel="nofollow" target="_blank">Article published on VentureBeat</a>

SageMaker Serverless Inference illustrates Amazon’s philosophy for ML workloads. Featuring Bratin Saha, AWS VP of Machine Learning

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 weeks 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!The complete show notes for this episode can be found at twimlai.com/go/542.

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 weeks 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! The complete show notes for this episode can be found at <a href="http://twimlai.com/go/542" rel="nofollow" target="_blank">twimlai.com/go/542</a>.

re:Invent Roundup 2021 with Bratin Saha - #542

Bratin Saha, VP and General Manager, Machine Learning Services, AWS, discusses how the cloud has enabled machine learning, and focuses on SageMaker’s ability to ease ML deployment.