Artificial Intelligence
Author: Stefan Natu
Stefan Natu is a Sr. Manager of Product Management at Amazon Braket, a service designed to accelerate scientific research and software development for quantum computing. He has held several industry roles, most recently focusing on helping customers leverage technologies such as machine learning and quantum computing using the AWS cloud. In a prior life, Stefan completed his PhD in Atomic and Condensed Matter Physics from Cornell University, and was a postdoctoral fellow at the Joint Quantum Institute at the University of Maryland.
Bringing your own custom container image to Amazon SageMaker Studio notebooks
June 2025: This post was reviewed and updated for accuracy. Amazon SageMaker AI Studio is the first fully integrated development environment (IDE) for machine learning (ML). SageMaker AI Studio lets data scientists spin up JupyterLab Space where you can leverage JupyterLab application to explore data, build models, launch Amazon SageMaker AI training jobs, and deploy […]
Machine learning best practices in financial services
We recently published a new whitepaper, Machine Learning Best Practices in Financial Services, that outlines security and model governance considerations for financial institutions building machine learning (ML) workflows. The whitepaper discusses common security and compliance considerations and aims to accompany a hands-on demo and workshop that walks you through an end-to-end example. Although the whitepaper […]
Using Amazon SageMaker with Amazon Augmented AI for human review of Tabular data and ML predictions
Tabular data is a primary method to store data across multiple industries, including financial, healthcare, manufacturing, and many more. A large number of machine learning (ML) use cases deal with traditional structured or tabular data. For example, a fraud detection use case might be tabular inputs like a customer’s account history or payment details to […]