AWS for Industries

Tag: amazon sagemaker

BKV Breaks Free from Siloed Systems with Cloudwick’s Amorphic Data Cloud for AWS

Across the oil and gas industry, companies struggle to gain insights from data spread across siloed systems and processes. For BKV Corporation (BKV), these challenges were all too familiar, but the energy company recognized that unlocking the full value of its data was necessary for future growth. After a large acquisition in 2020, BKV knew […]

Invicro Improves Medical Image Quality Prediction with SageMaker HPO Jobs

Invicro Improves Medical Image Quality Prediction with SageMaker HPO Jobs

Blog guest authored by Brian Avants, and Jacob Hesterman of Invicro, a REALM IDx company High-quality medical imaging data is a clinical necessity. Yet, there are few medical datasets with quality annotations that can be used to train models which automate an objective quality prediction process. Invicro, a REALM IDx company, worked with the Amazon […]

How AWS is supporting Buy Now Pay Later (BNPL)

The concept of purchasing an individual item in multiple installments is not new. Large department stores have offered this for decades in what is called layaway. Layaway is essentially “a purchasing agreement by which a retailer agrees to hold merchandise secured by a deposit until the price is paid in full by the customer” [1]. […]

Recap of re:Invent 2021 for the CPG Industry

A couple of weeks ago at AWS re:Invent 2021, we announced more than 50 new products and services. If you have time, be sure to watch Adam Selipsky’s keynote address to hear major news, and also read the Top Announcement of AWS re:Invent 2021 blog post to learn even more details about some of our […]

stock image customer churn

Using Amazon Athena and Amazon SageMaker for Improved Customer Churn Analysis

Customer churn is a growing concern for many companies—and not without merit. During the pandemic, 75% of US consumers switched brands or stores, and 60% of them plan to incorporate new buying patterns and habits post-COVID. In other words, 45% of consumers shifted their brand choices over the long term. But customer churn is hardly […]

Oil Pump

Improving Safety and Logistics at Well Pads with Amazon Machine Learning Services

Introduction In remote upstream oil and gas facilities, such as well pads, energy companies frequently have various service contractors bringing in items, performing services, and removing items from the site. These facilities most often do not have permanent staff on location. It can be challenging for operators to know who is accessing the facilities. For […]

drone flying in front of the turbines

Automating Wind Farm Maintenance Using Drones and AI

Introduction Turbine maintenance is an expensive, high-risk task. According to a recent analysis from the news website, wind farm owners are expected to spend more than $40 billion on operations and maintenance over a decade. Another recent study finds by using drone-based inspection instead of traditional rope-based inspection, you can reduce the operational costs by 70% […]

Architecture deployed with AWS SAM shown by orange dashed box

AI-Driven Visual Inspection of Wind Turbines Based on Drone Imaging

Introduction Keeping wind turbines operational also means keeping them well maintained. One of the steps in maintenance is regular visual inspection. Wind farm operation and maintenance companies started to utilize drones with attached cameras to perform visual inspections. According to a recent study, drone-based inspection reduces costs by up to 70% and decreases revenue lost […]

Training Machine Learning Models on Multimodal Health Data with Amazon SageMaker

Training Machine Learning Models on Multimodal Health Data with Amazon SageMaker

This post was co-authored by Olivia Choudhury, PhD, Partner Solutions Architect; Michael Hsieh, Sr. AI/ML Specialist Solutions Architect; and Andy Schuetz, PhD, Sr. Startup Solutions Architect at AWS. This is the second blog post in a two-part series on Multimodal Machine Learning (Multimodal ML). In part one, we deployed pipelines for processing RNA sequence data, clinical […]

Example visualization of a CT scan, with lung tumor mask overlaid in yellow

Building Scalable Machine Learning Pipelines for Multimodal Health Data on AWS

This post was co-authored by Olivia Choudhury, PhD, Partner Solutions Architect; Michael Hsieh, Senior AI/ML Specialist Solutions Architect; and Andy Schuetz, PhD, Sr. Partner Solutions Architect. Healthcare and life sciences organizations use machine learning (ML) to enable precision medicine, anticipate patient preferences, detect disease, improve care quality, and understand inequities. Rapid growth in health information […]