AWS Machine Learning Blog
Category: Artificial Intelligence
Connect Amazon EMR and RStudio on Amazon SageMaker
RStudio on Amazon SageMaker is the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. […]
Announcing New Tools for Building with Generative AI on AWS
The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses. Just recently, generative AI applications like ChatGPT have captured widespread attention and imagination. We […]
How Accenture is using Amazon CodeWhisperer to improve developer productivity
Amazon CodeWhisperer is an AI coding companion that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). CodeWhisperer accelerates completion of coding tasks by reducing context-switches between the IDE and documentation or developer forums. With real-time code recommendations from CodeWhisperer, you […]
Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment
This is a guest post co-written with Moulham Zahabi from Matarat. Probably everyone has checked their baggage when flying, and waited anxiously for their bags to appear at the carousel. Successful and timely delivery of your bags depends on a massive infrastructure called the baggage handling system (BHS). This infrastructure is one of the key […]
Modulate makes voice chat safer while reducing infrastructure costs by a factor of 5 with Amazon EC2 G5g instances
This is a guest post by Carter Huffman, CTO and Co-founder at Modulate. Modulate is a Boston-based startup on a mission to build richer, safer, more inclusive online gaming experiences for everyone. We’re a team of world-class audio experts, gamers, allies, and futurists who are eager to build a better online world and make voice […]
Secure your Amazon Kendra indexes with the ACL using a JWT shared secret key
Globally, many organizations have critical business data dispersed among various content repositories, making it difficult to access this information in a streamlined and cohesive manner. Creating a unified and secure search experience is a significant challenge for organizations because each repository contains a wide range of document formats and access control mechanisms. Amazon Kendra is […]
How Games24x7 transformed their retraining MLOps pipelines with Amazon SageMaker
This is a guest blog post co-written with Hussain Jagirdar from Games24x7. Games24x7 is one of India’s most valuable multi-game platforms and entertains over 100 million gamers across various skill games. With “Science of Gaming” as their core philosophy, they have enabled a vision of end-to-end informatics around game dynamics, game platforms, and players by […]
Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness
Financial services, the gig economy, telco, healthcare, social networking, and other customers use face verification during online onboarding, step-up authentication, age-based access restriction, and bot detection. These customers verify user identity by matching the user’s face in a selfie captured by a device camera with a government-issued identity card photo or preestablished profile photo. They […]
Build Streamlit apps in Amazon SageMaker Studio
Developing web interfaces to interact with a machine learning (ML) model is a tedious task. With Streamlit, developing demo applications for your ML solution is easy. Streamlit is an open-source Python library that makes it easy to create and share web apps for ML and data science. As a data scientist, you may want to […]
Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio
Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. These enterprise customers that are starting to adopt AWS, expanding their footprint on […]