AWS for Industries

Category: Amazon Machine Learning

7 defunct restaurant brands we can learn from

Regardless of your age, it is likely that you have fond memories of visiting a restaurant brand that is no longer in existence. That restaurant may no longer be around because they likely failed to adjust to changing consumer preferences and market dynamics. By learning from our past, we can avoid repeating the same mistakes, […]

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Convenient Conversations: How conversational AI elevates the traveler experience

This is a point of view from Andrei Papancea, Cofounder and CEO of NLX – an AWS technology partner specialized in building the next generation of conversational applications. — As consumer demands are changing, brands are constantly looking for new ways to interact with customers. Digital conversations are on the rise. According to Smooch.io’s State […]

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AWS re:Invent 2019 – Healthcare and life sciences industry recap

With over 75 launches and announcements of new services and major features during re:Invent, it can be hard for any technologist to keep track of the most relevant information for Healthcare and Life Science (HCLS) workloads. Explore the below recap of information important for HCLS customers and links to the top re:Invent breakout sessions. Top […]

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AWS and Novartis: Re-inventing pharma manufacturing

Today, AWS announced a new strategic collaboration with Novartis that will transform Novartis’ core supply chain, manufacturing, and delivery operations through the use of AWS services. For several years, many AWS partners and life science customers have been using AWS services to modernize various aspects of manufacturing and supply chain. This strategic collaboration with Novartis […]

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In the News: With machine learning, manufacturing giant 3M innovates products old and new

The below article originally appeared in WIRED. IN 1916, the Minnesota Mining and Manufacturing Company, or 3M, opened its first research lab, a closet-sized space in its St. Paul sandpaper factory. A series of incidents across the first 14 years of the company’s existence—one involving a shipment of sandpaper botched in transit by a spilled […]

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In the News: Today’s in-flight experience is brought to you by machine learning

The below article originally appeared in WIRED.  Inflight entertainment in the pre-internet era was limited to the books and magazines that could be crammed into a passenger’s carry-on—or bought last-minute at the airport. But today, from the array of entertainment options to inflight Wi-Fi, technology has made today’s flying experience markedly more enjoyable. Now, Panasonic […]

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Evolution of the cloud journey in the world of travel

It is next to impossible to have any technology-related discussion in today’s world without a direct or indirect reference to the cloud. However, the adoption journey in some industries such as travel has not been as rapid as in some other industries like Finance, Entertainment, Retail, or Manufacturing, just to name a few. In this […]

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Predict patient health outcomes using OHDSI and machine learning on AWS

Build a machine learning model to predict the likelihood of stroke in a patient with newly diagnosed atrial fibrillation In healthcare, patient outcome prediction is a critical step in improving the effectiveness of care delivery while reducing its overall cost.  Being able to accurately forecast what will happen next to patients, at scale, is key […]

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The future of air travel retailing

Travel is a personal experience, whether you are traveling for leisure, business, or a combination of both. When people travel, they dream about exotic places, the opportunity to meet new people, make connections, create partnerships, or drive new business. There are thousands of travel technology topics I could write about, but with the IATA Airline […]

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In the News: Cerner, Aidoc, and Arterys use AWS machine learning to improve healthcare

WIRED just published a story about how leading healthcare organizations like Cerner, Aidoc, and Arterys are using AWS machine learning to provide faster, more accurate diagnosis, improve clinical workflows, and streamline patient care.  With Amazon SageMaker at the core, these organizations are leveraging a wide variety of AWS Cloud services, which allows them to focus […]

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