AWS for Industries

Tag: machine learning

stock image of connected car

In the News: Amazon Web Services’ Edge to Cloud Approach to Drive a New Era of Software-Defined Vehicles

This article originally appeared on Frost & Sullivan The pandemic has changed how mobility will be perceived over this decade and beyond. Industry stakeholders are course-correcting; channeling investments away from traditional hardware-focused approaches into a software-centric future, enabling new on-demand services and new revenue streams. This will lay the foundation for a new generation of […]

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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 […]

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Deriving AI/ML-driven insights from healthcare data using Amazon HealthLake

Derive AI/ML-driven insights from healthcare data using Amazon HealthLake

Last year, we announced Amazon HealthLake, a new HIPAA-eligible service for healthcare providers, health insurance companies, and pharmaceutical companies to securely store, transform, query, analyze, and share health data in the cloud, at petabyte scale. We launched HealthLake to address one of the key challenges that the health industry – from healthcare payers to life […]

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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 […]

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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 […]

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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 […]

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Machine Learning Leukemia diagnosis at Munich Leukemia Lab with Amazon SageMaker

Munich Leukemia Lab (MLL) is a leading global institution for leukemia diagnostics and research, operating within a highly innovative environment. MLL aims to shape the future of hematological diagnostics and therapy through state-of-the-art molecular and computational methodologies. To this end, MLL partnered with the Amazon Machine Learning Solutions Lab (MLSL) and Mission Solutions Team (MST) […]

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FSI Service Spotlight: Featuring Amazon Comprehend

Editor’s note: This is the second in a monthly series for Financial Services Industry Service Spotlight. Read Part 1 discussing Amazon SageMaker Notebook Instances. — In this edition of Financial Services Industry (FSI) Service Spotlight monthly blog series, we highlight five key considerations of a particular service that FSI customers should focus on to help […]

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[In the News] Machine Learning is Transforming Drug Discovery at AstraZeneca

This article originally appeared on Wired. Disease understanding and drug discovery is based on scientific rigor. And while it’s work that is potentially life changing, it can also be tedious and time-consuming. Few know this better than Magnus Söderberg, a pathology researcher with more than 20 years of lab experience and the director and technical […]

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[In the News] The Intelligent Era: Design, Detect, Discover

This article originally appeared on BBC StoryWorks. How machine learning is changing the pharmaceutical industry and reshaping the way drugs are produced in the 21st century The scale of the pharmaceutical industry is staggering. There are millions of patients to take care of, billions of data points generated by every clinical trial—and that’s before you […]

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