AWS Machine Learning Blog

October 2021: This post has been updated with a new sample notebook for Amazon SageMaker Studio users.  When a model gets deployed to a production environment, inference speed matters. Models with fast inference speeds require less resources to run, which translates to cost savings, and applications that consume the models’ predictions benefit from the improved […]

Domain experts are increasingly using machine learning (ML) to make faster decisions that lead to better customer outcomes across industries including healthcare, financial services, and many more. ML can provide higher accuracy at lower cost, whereas expert oversight can ensure validation and continuous improvement of sensitive applications like disease diagnosis, credit risk management, and fraud […]

DICOM (Digital Imaging and Communications in Medicine) is an image format that contains visualizations of X-Rays and MRIs as well as any associated metadata. DICOM is the standard for medical professionals and healthcare researchers for visualizing and interpreting X-Rays and MRIs. The purpose of this post is to solve two problems: Visualize and label DICOM […]

Regulatory mandates, audit requirements, and security policies often call for data visibility and granular data control while using Amazon Simple Storage Service (Amazon S3) for shared datasets. Because data on Amazon S3 is often accessible by multiple applications and teams, fine-grained access controls should be implemented to restrict privileged information such as personally identifiable information […]

Inventorying store items is a general demand for retail stores and supermarkets. This is usually performed manually by counting items and visually checking the correct placement. Tracking changes in inventory helps business owners evaluate performance of each product, validate correct placement, and set future restocking plans. With the cloud making AI and machine learning (ML) […]

June 2023: This post was reviewed and updated for accuracy. With the rapid growth of data, many organizations are finding it difficult to analyze their large datasets to gain insights. As businesses rely more and more on automation algorithms, machine learning (ML) has become a necessity to stay ahead of the competition. Amazon Redshift, a […]

This post is co-written by Nikunj Agarwal, lead data scientist at Edelweiss Tokio Life Insurance. Edelweiss Tokio Life Insurance Company Ltd is a leading life insurance company in India. Its broad spectrum of offerings includes life insurance, health insurance, retirement policies, wealth enhancement schemes, education funding, and more. How are you being recommended a credit […]

Amazon Lex is a service for building conversational interfaces into any application. The new Amazon Lex V2 console and APIs make it easier to build, deploy, and manage bots. The Amazon Lex V2 console and APIs provide a simple information architecture in which the bot intents and slot types are scoped to a specific language. […]

Amazon Web Services (AWS), Coursera, and DeepLearning.AI are excited to announce Practical Data Science, a three-course, 10-week, hands-on specialization designed for data professionals to quickly learn the essentials of machine learning (ML) in the AWS Cloud. DeepLearning.AI was founded in 2017 by Andrew Ng, an ML and education pioneer, to fill a need for world-class […]

Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation in 71 languages and 4,970 language pairs. Amazon Translate is great for performing batch translation when you have large quantities of pre-existing text to translate and real-time translation when you want to deliver on-demand translations of content as a […]