AWS for Industries
Category: Learning Levels
AWS re:Invent 2019 – Financial services industry recap
60,000+ attendees. 3,000+ technical sessions. 75+ service launches. 50+ breakout sessions focused on Financial Services. In case you missed it or would like to re-visit content about how financial institutions are using AWS to transform their businesses and bring new ideas to market, check out this recap guide created by the Financial Services Content team. […]
AWS re:Invent 2019: Key announcements for the Advertising and Marketing Industry
With more than 77 new service launches and other announcements, AWS re:Invent left a lot to digest—even for teams inside AWS! We’ve developed this guide to ensure customers in the advertising and marketing industry know the most relevant news from this year’s event. Of the many announcements, three stood out as game-changers for advertising and […]
Improving customer service interactions in the hospitality industry using Amazon Connect
Have you ever experienced an issue with your flight, hotel room, or rental car while on vacation or a business trip? What’s the first thing you do? Yes, you call the company responsible. According to Hospitality Net, phone calls deliver 20% to 50% of the bookings for companies in the hospitality industry. That means that […]
Enforcing immutability, traceability and transparency in clinical trials using Amazon Managed Blockchain
Amazon Managed Blockchain is a fully managed service that makes it easy to create and manage scalable blockchain networks using popular open source frameworks, such as Hyperledger Fabric and Ethereum. General availability of Hyperledger Fabric was announced in April 2019, with support for Ethereum coming soon. For additional details about Managed Blockchain, see What Is Amazon […]
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 […]
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 […]
How AWS partners are helping transform travel and hospitality
“Technology always develops from the primitive, via the complicated, to the simple.” — Antoine de Saint-Exupéry Growth and Complexity An aviator and engineer, born 119 years ago, Antoine de Saint-Exupéry’s quote left us a timeless analogy to describe how the travel and hospitality (T&H) industry transforms. The industry is big, complex and people-driven. With the […]
Event Report: AWS Autotech Forum 2019 in Tokyo, Japan
Hello, I’m Hiroshi Okamoto, a Solutions Architect at Amazon Web Services Japan. This report will explore “AWS Autotech Forum 2019”, an automotive industry event sponsored by AWS and held in Tokyo on October 25, 2019. Have you ever imagined the combination of AWS and the automotive industry? Actually, AWS services are widely used in many […]
Automating claims adjudication workflows using Amazon Textract and Amazon Comprehend Medical
When a medical claim is submitted, the insurance provider must process the claim to determine the correct financial responsibility of the insurance provider and the patient. The process to determine this is broadly known as claims adjudication. It involves creating a claims processing workflow that checks each claim for authenticity, correctness, and validity based on […]
Webinar: Digital Medicine 101
Technology is changing how we practice medicine. Sensors and wearables are getting smaller and cheaper, and algorithms are becoming powerful enough to predict medical outcomes. Yet despite rapid advances, healthcare lags behind other industries in truly putting these technologies to use. A major barrier to entry is the cross-disciplinary approach required to create such tools, […]