This is a guest post co-written by Julian Blau, Data Scientist at xarvio Digital Farming Solutions; BASF Digital Farming GmbH, and Antonio Rodriguez, AI/ML Specialist Solutions Architect at AWS xarvio Digital Farming Solutions is a brand from BASF Digital Farming GmbH, which is part of BASF Agricultural Solutions division. xarvio Digital Farming Solutions offers precision […] 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.

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

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Two case studies featuring companies using machine learning to improve their business · Case study 1: Implementing a single machine learning project in your company · Case study 2: Implementing machine learning at heart of everything your ...

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. It also used NVIDIA’s Triton Inference Server, which supports model concurrency and scales globally across AWS data centers.

Learn how Thomson Reuters streamlined ML development using its Enterprise AI Platform powered by Amazon SageMaker. Overview | Opportunity | Solution | Outcome | AWS Services Used

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 ...

Project #6: Deep Dive in AWS SageMaker Studio, AutoML, and model debugging.

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 ...

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

4 hours ago - One recent breakthrough: TEAREx (Thermal Energy Advanced Regolith Extraction), the first AI agent-designed hardware, built to operate on the lunar surface, developed from concept to 3D-printed part in days, using AWS.

2 weeks ago - “Using AWS, we’ve gone from scaling to a thousand inference requests to tens of millions that are coming in daily,” says Luke. “It’s been very rewarding to see.” Further, the company has been able to scale with virtually no downtime. For its generative AI use cases, Workday uses Amazon SageMaker to simplify searching, evaluating, customizing, and deploying LLMs.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker. - GitHub - aws/amazon-sagemaker-examples: Example 📓 Jupyter notebooks that demonstrate how to build, train, ...

June 7, 2018 - Identifying and implementing data security and controls in partnership with the AWS IT security team · Migration and hosting of one of our existing ML models in Amazon SageMaker using the “Bring your own Algorithm” feature (use case one)

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.

ClearScale helped Tradeswell implement Amazon SageMaker for MLOps with orchestration from AWS Step Functions to automate the client’s ML execution flow.

August 22, 2022 - For this particular project, Srijan used SageMaker to create the algorithm, as well as for data augmentation and training. The AWS-optimized Tensorflow on SageMaker allowed for quick and efficient scaling of training data to create a more accurate machine learning model.

April 10, 2023 - Amazon SageMaker runs the Jupyter computational processing notebooks. The notebooks include the drivers, packages and libraries for similar deep learning platforms and frameworks. Developers can launch the prebuilt notebook that AWS supplies for a variety of applications and use cases and they can then customize it according to the data set and schema that needs to be further trained.

Amazon SageMaker Project Ideas and Examples to help you build, train, and deploy machine learning models on AWS Cloud.