AWS for Industries

Tag: machine learning

Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 2

Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 2

Introduction Training medical computer vision (CV) models requires a scalable compute and storage infrastructure. Training a medical CV model is unique compared to training a CV model in other domains, as we described in the first part of this blog series. In this second post, we show you how we scale a medical semantic segmentation training […]

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Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 1

Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 1

Introduction Computer vision (CV) and machine learning (ML) has been playing an increasingly import role in the field of medical imaging and radiology in the past decade. CV is the field that uses computers and programs to replicate human vision abilities such as recognition, classification, detection and measurement. Thanks to the advancement of deep learning […]

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Uplevel Your Revenue Growth Management for CPG With Sigmoid on AWS

Consumer packaged goods (CPG) companies are undergoing massive transformations on multiple fronts to cater to the demands of ever-changing consumer behavior, new supply chain practices, and increasing competition with new market entrants. A survey conducted by Boston Consulting Group (BCG) with global business leaders, whose companies underwent a transformation over the past five years, suggests […]

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An AI-driven dashboard for life sciences laboratories

In this post, we present how scientific researchers can implement AI-driven solutions that improve day-to-day lab productivity and accelerate scientific discovery. We discuss some of the scientific and data challenges to this space as a whole and how AWS solutions can be the foundation for greater automation and central data governance across life science enterprises. […]

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In the News: Amazon Web Services’ Unique Value Proposition in Scaling Autonomous Vehicle (AV) Development and Deployment

This article originally appeared on Frost & Sullivan Within AVs, today’s focus is on improving the software stack’s detection, classification, path planning, and motion control modules while also securing the potential cyber vulnerabilities that may arise due to the increased electronic content. Connected and automated vehicles (CAVs) signal the start of a transformative era in the […]

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Practical Applications of Artificial Intelligence and Machine Learning to Fuel Growth for CPG Companies

The concept of artificial intelligence (AI) has been around for centuries as philosophers and thinkers pondered the possibility of creating machines capable of thinking and functioning like humans. The advent of computers in the early 20th century finally placed the promise of AI within reach. However, computer scientists realized they needed enormous amounts of data […]

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What’s New in Retail from re:Invent 2021

It’s been two years since AWS hosted an in person re:Invent conference. Although everyone had masks on, the excitement was palpable. I had a great time meeting with customers in a face-to-face setting again with dinners and parties. It was really fun. And with so much news coming out of the event, I’m sure it […]

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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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