AWS Machine Learning Blog

Category: Foundational (100)

SambaSafety automates custom R workload, improving driver safety with HAQM SageMaker and AWS Step Functions

At SambaSafety, their mission is to promote safer communities by reducing risk through data insights. Since 1998, SambaSafety has been the leading North American provider of cloud–based mobility risk management software for organizations with commercial and non–commercial drivers. SambaSafety serves more than 15,000 global employers and insurance carriers with driver risk and compliance monitoring, online […]

High-quality human feedback for your generative AI applications from HAQM SageMaker Ground Truth Plus

HAQM SageMaker Ground Truth Plus helps you prepare high-quality training datasets by removing the undifferentiated heavy lifting associated with building data labeling applications and managing the labeling workforce. All you do is share data along with labeling requirements, and Ground Truth Plus sets up and manages your data labeling workflow based on these requirements. From […]

Accelerate machine learning time to value with HAQM SageMaker JumpStart and PwC’s MLOps accelerator

This is a guest blog post co-written with Vik Pant and Kyle Bassett from PwC. With organizations increasingly investing in machine learning (ML), ML adoption has become an integral part of business transformation strategies. A recent PwC CEO survey unveiled that 84% of Canadian CEOs agree that artificial intelligence (AI) will significantly change their business […]

Unlock insights from your HAQM S3 data with intelligent search

HAQM Kendra is an intelligent search service powered by machine learning (ML). HAQM Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. Keywords or natural language questions can be […]

HAQM SageMaker with TensorBoard: An overview of a hosted TensorBoard experience

Today, data scientists who are training deep learning models need to identify and remediate model training issues to meet accuracy targets for production deployment, and require a way to utilize standard tools for debugging model training. Among the data scientist community, TensorBoard is a popular toolkit that allows data scientists to visualize and analyze various […]

­­­­How Sleepme uses HAQM SageMaker for automated temperature control to maximize sleep quality in real time

This is a guest post co-written with Trey Robinson, CTO at Sleepme Inc. Sleepme is an industry leader in sleep temperature management and monitoring products, including an Internet of Things (IoT) enabled sleep tracking sensor suite equipped with heart rate, respiration rate, bed and ambient temperature, humidity, and pressure sensors. Sleepme offers a smart mattress […]

Run your local machine learning code as HAQM SageMaker Training jobs with minimal code changes

We recently introduced a new capability in the HAQM SageMaker Python SDK that lets data scientists run their machine learning (ML) code authored in their preferred integrated developer environment (IDE) and notebooks along with the associated runtime dependencies as HAQM SageMaker training jobs with minimal code changes to the experimentation done locally. Data scientists typically […]

How RallyPoint and AWS are personalizing job recommendations to help military veterans and service providers transition back into civilian life using HAQM Personalize

This post was co-written with Dave Gowel, CEO of RallyPoint. In his own words, “RallyPoint is an online social and professional network for veterans, service members, family members, caregivers, and other civilian supporters of the US armed forces. With two million members on the platform, the company provides a comfortable place for this deserving population […]

Solution architecture overview

Deploy a predictive maintenance solution for airport baggage handling systems with HAQM 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 […]

Build Streamlit apps in HAQM SageMaker AI 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 […]