AWS for Industries

Category: Database

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 […]

Simplify seismic data management and improve decision-making using serverless solutions

Major oil and gas companies are likely to have seismic data spanning decades and consuming Petabytes (PBs) of storage. This seismic data is often stored across a variety of different storage mediums depending on operational requirements, including: Network-Attached Storage (NAS), Magnetic tapes and USB devices. This data management approach has led to seismic data duplication […]

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 […]

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 […]

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 […]

A Travel Tech CEO’s journey from cloud skeptic to evangelist

As CEO of 3Victors, a travel big data AI startup, who spent the better part of his career solving tricky digital problems by tuning software to squeeze maximum performance from racks of bare metal computers, I was more than a bit skeptical of cloud computing. First, let me provide a little insight into my company […]