The goal of the case study is to provide an overview of two practical techniques to enhance your prospecting metrics. ... Maxwell Dakin, Development Analytics, John F. Kennedy Center for the Performing Arts · In an effort to cut costs on direct marketing, we used Amazon SageMaker – a cloud-based ...

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker. - udacity/ML_SageMaker_Studies

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Using AWS services, the company has effectively solved the challenge of adhering to standards regarding ethics, monitoring, explainability, and risk assessment across a range of AI use cases while streamlining collaboration. Now, TR’s data scientists and stakeholders have access to a centralized environment where they can collectively view and manage metadata and health metrics. Using the Enterprise AI Platform, TR has effectively unified its multiaccount, multipersona ML landscape. In the future, it will continue to build out the solution using Amazon SageMaker and will explore ways to run its over 100 legacy ML models on the solution.

2 weeks ago - See how leading organizations worldwide are using Amazon SageMaker AI to build, customize, and deploy AI models at scale

December 18, 2024 - Case study 2: Implementing machine learning at the heart of everything your company does · Throughout the book, you have used AWS SageMaker to build solutions to common business problems. The solutions have covered a broad range of scenarios and approaches: Using XGBoost supervised learning to solve an approval routing challenge ·

December 11, 2023 - Customer Case Study - AWS SageMaker The Customer. The customer is a homeland security government agency, tasked with supervising and managing procedures concerning citizens, including protocols for entry, residency, and documentation for individuals ...

Train and evaluate Object Detection model using SageMaker built-in algorithms. Basic knowledge of programming · Basic knowledge in AWS · Basic knowledge in machine learning · # Update 22/04/2021 - Added a new case study on AWS SageMaker Autopilot. # Update 23/04/2021 - Updated code scripts and addressed Q&A bugs.

Case study 2: Implementing machine learning at heart of everything your company does · Throughout the book you have used AWS SageMaker to build solutions to common business problems. The solutions have covered a broad range of scenarios and approaches ranging from the following: Using XGBoost supervised learning to solve an approval routing challenge ·

July 23, 2020 - With all these salient features that Amazon SageMaker provide us, let’s take a deeper dive with a case study where we use it for building a movie recommendation service.

Learn how Yara is using Amazon SageMaker features, including the model registry, Amazon SageMaker Model Monitor, and Amazon SageMaker Pipelines to streamline the machine learning (ML) lifecycle by automating and standardizing MLOps practices.

Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (A): The Commercialization of Machine Learning Services." Harvard Business School Case 622-060, May 2022.

November 3, 2023 - Hence, making the development and ... The case study focuses on a leading e-commerce company that used an advanced computer vision model to drastically improve the searching experience for their clients....

In this tech talk, you'll learn how Amazon SageMaker enables patients, providers, payers, and researchers to prepare, build, train, and deploy high quality ML models at lower cost and at scale. Discover challenges in the healthcare and life sciences industry and how ML can address key use cases, such as fraud detection and anomaly detection

October 15, 2025 - It quickly migrated its large models—spanning 3 environments and 10 different applications that require at least 1 model—to Amazon SageMaker while continuing to host the applications on Amazon EKS. Cisco deployed dozens of models on Amazon SageMaker endpoints.

June 7, 2018 - We used the IAM role poc-sagemaker-iam-role and the s3-smcmk encryption key when we created a notebook instance. We then wrote and executed the code for both POC use-cases for training and hosting the ML models in an Amazon SageMaker-managed infrastructure.

1 week ago - In 2023, Amazon Pharmacy began looking at how chatbots based on large language models could help it enhance customer support. Using Amazon SageMaker, Amazon Pharmacy created an

October 17, 2025 - Pipeline for localizing ocean eddies with SageMaker and several YOLO models · Another case study is the creation of NinjaLLM, a retrieval-augmented generation system using AI chips from SageMaker and AWS.

April 8, 2023 - Amazon SageMaker is a machine learning platform offered by Amazon Web Services (AWS) that allows developers and data scientists to build, train, and deploy machine learning models at scale. In this blog, we will provide an overview of Amazon SageMaker’s features, use cases, and benefits.