AWS for Industries

Category: Amazon Machine Learning

AWS Travel and Hospitality Partner Conversations: Braze

Bill Magnuson is the cofounder and CEO of Braze, joins David Solomito, WW Head, Marketing for AWS Travel and Hospitality, for a broad-ranging discussion around how AWS Partners are helping customers build resilience and prepare for what’s next in travel and hospitality. During this unprecedented time for the industry, we have been inspired by the […]

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re:Invent 2020 – Healthcare Industry Recap

2020 has taught us all a thing or two about adapting to change. Working, meeting with friends, and even doctors’ visits have all gone virtual. AWS re:Invent 2020 was no exception. Our premier event for the year, typically held over the course of one week in Las Vegas, was transformed into a multi-week virtual experience, […]

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Recapping re:Invent: What’s New in Retail

AWS re:Invent 2020, our annual conference for AWS leaders to share the latest advances in AWS technologies, has been a huge success so far. For three weeks, we’ve heard about cutting-edge innovations from keynote speakers, and in this blog, I would like to discuss some of the latest announcements that are most relevant to the […]

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Novartis AG uses Amazon Elasticsearch K-Nearest Neighbor (KNN) and Amazon SageMaker to power search and recommendation (Part 3/4)

This is the third post of a four-part series on the strategic collaboration between AWS and Novartis AG, where the AWS Professional Services team built the Buying Engine platform. In this series: Part 1:  How Novartis AG brought SMART into Smart Procurement with AWS Machine Learning Part 2: Novartis AG uses Amazon SageMaker and Amazon […]

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Novartis AG uses Amazon SageMaker and Amazon Neptune to build and enrich a knowledge graph using BERT (Part 2/4)

This is the second post of a four-part series on the strategic collaboration between AWS and Novartis AG, where the AWS Professional Services team built the Buying Engine platform. In this series: Part 1:  How Novartis AG brought SMART into Smart Procurement with AWS Machine Learning Part 2: Novartis AG uses Amazon SageMaker and Amazon […]

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How Adani Renewables adopted an AWS microservices architecture for transformer health analytics

Adani Group is a diversified organization in India with combined revenue of $15 Bn comprising 6 publicly traded companies with a transport logistics, energy utility and infrastructure portfolio that has a pan-India presence. Adani owes its success and leadership position to its core philosophy of ‘Nation Building’ driven by ‘Growth with Goodness,” a guiding principle […]

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How payments companies can use transaction data to support small merchants

What if? I used to get lunch from a small café near my old office, and I would get the same sandwich every time I was there. Eventually, the staff behind the counter would recognize me when I got in line. With a subtle nod of confirmation, they’d start making and toasting my sandwich so […]

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How to build a global, scalable, low-latency, and secure machine learning medical imaging analysis platform on AWS

Introduction It is hard to imagine the future for medical imaging without machine learning (ML) as its central innovation engine. Countless researchers, developers, start-ups, and larger enterprises are engaged in building, training, and deploying machine learning solutions for medical imaging that are posed to transform today’s medical workflows and the future value of imaging in […]

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Computational needs of the electric grid of the future

A July 2019 Navigant report on growth of distributed energy resources (DER) annual capacity predicts that we will reach 600 GW of total DER capacity in eight years, out of which nearly 250 GW will come from distributed solar assets. Managing grid stability with such a massive influx of these highly variable energy resources is […]

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