AWS for Industries

Tag: machine learning

Defining the digital model for convenience retailing

The very definition of convenience retailing is an experience of access and ease for shoppers. There’s no ambiguity. The experience must be convenient, period. And the convenience store, or c-store, market is huge. In 2019, 3.1% of the US GDP resulted from $647.8 billion in combined in-store and fuel sales at c-stores. With nearly 153,000 […]

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What value can cloud computing deliver to the maritime industry?

Majority of the global trade happens at sea: the ocean shipping industry is at the core of the global economy, yet still enjoying a lower level of digitization. In this post we will review how companies in this vertical can take advantage of cloud computing to transform their business. Cloud computing can deliver value to […]

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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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3M Hackathon: Machine learning for every developer

Hackathons give organizations an opportunity to focus engineering resources on solving challenges or driving bursts of innovation. On July 27, 2020, 3M hosted a week-long virtual 3MHackathon20: The Curiosity Code 2.0 where 800 3Mers from across the globe came together to solve real-world challenges using automation, machine learning, and various other technologies. In this hackathon, […]

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AWS Retail Series: How COVID-19 has accelerated a new digitized normal for retailers

World events are accelerating change in the retail industry. As retailers operate through a global pandemic, many are rethinking all aspects of their businesses in order to prepare for the ‘new normal.’ Will consumers’ massive shift to online channels ‘stick’? If so, do existing investments in technology and IT infrastructure take into account what will […]

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Enabling efficient patient care using Amazon AI services

Artificial intelligence can speed up the development of new drug development, be a bridge to personalized medicine using the information of our genomes, and help address the problem of a chronic shortage of doctors (especially in countries where health services are underdeveloped). However, significant challenges remain before we can get there. The challenge The application […]

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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 natural language processing can uncover value from unreachable data in the modern medical ecosystem

The Dark Data Problem Up to 80% of your organization’s medical patient data is untapped, undervalued, or unused Imagine walking into a physician’s office for a checkup. As you describe some pain you’ve been having in your left knee, the doctor barely looks up from the screen as she clatters away on the keyboard, taking […]

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