AWS for Industries

Category: Amazon Machine Learning

Predicting all-cause patient readmission risk using AWS data lake and machine learning

It’s no secret that hospital readmissions impact patient outcomes and the financial health of healthcare providers globally. Specifically in the United States, the Agency for Healthcare Research and Quality (AHRQ) shows that readmissions are some of the costliest episodes to treat, with costs reaching in excess of $41.3B. Hospitals and healthcare providers are looking for […]

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How utility executives elevate the customer experience with Amazon Connect

Utility executives share common benchmark success metrics when reporting to stakeholders including customers, regulators, elected officials, and investors. Regulated investor-owned utilities focus on long-term metrics such regulated rates of return (ROR) and service reliability benchmarks such as Customer Average Interruption Duration Index (CAIDI). Energy retail executives focus closely on customer satisfaction (CSAT) scores and customer […]

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How OAG Analytics leverages AI and machine learning to optimize the profitability of oil and gas wells

In 2013, Luther Birdzell formed OAG Analytics to create an AI platform that enables oil and gas companies to use more of their data to help solve critical problems like well spacing. Today, the OAG-Amazon SageMaker integration enables customers to unify their datasets and create proprietary analyses using virtually unlimited compute. READ MORE Click here […]

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Forecasting energy usage using Amazon machine learning and data lakes

Executives within utilities and energy providers of all types and sizes have multiple ongoing needs to forecast energy usage. For example, as chief customer officer, your teams can use energy forecasts at the household level to proactively engage homeowners with high bill alerts and predict pre-pay or month-end energy charges. As the head of energy […]

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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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