AWS for Industries
Category: Learning Levels
Automating GxP compliance in the cloud: Best practices and architecture guidelines
The Life Sciences industry (encompassing, but not exclusively bio-pharma, genomics, medical diagnostics, and medical devices) is governed by a set of regulatory guidelines called Good Laboratory Practice, Good Clinical Practice, and Good Manufacturing Practice (commonly referred to as “GxP”). GxP is intended to protect patient health by ensuring the safety, efficacy, and quality of medicinal […]
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 […]
Why accessibility is the hotel industry’s most overlooked asset
Stephen Cluskey (CEO Mobility Mojo) speaking at the recent Skift Global Forum in New York Accessible tourism – problem or opportunity? Accessibility will eventually affect us all. Imagine an elderly traveler with a bad hip or knee who needs to know if there is a walk-in shower in their hotel room, a wheelchair user looking […]
Genomics Webinar: Improving the diagnosis of infectious diseases with microbial genomic analysis
The discovery of microbial cell-free DNA has propelled the introduction of new technologies that can be leveraged for next-generation diagnostic assays. Previously inaccessible genomic information can now be comprehensively surveyed for microorganisms, all from a single blood draw. This webinar will outline how infectious disease testing firm Karius analyzes microbial cell-free DNA data through novel […]
AWS re:Invent 2019 – Telecom Industry Guide
From December 2 to December 6, more than 60,000 attendees will spread out across six venues on the Las Vegas Strip, which promises to make re:Invent 2019 the biggest re:Invent yet. For Telecom attendees looking to get the most out of their experience, follow the steps below: Register for re:Invent Take a look at all of the Telecom […]
Power & Utility Executives: Visit with AWS at DistribuTECH 2020
Meet the AWS Power & Utilities team in San Antonio from January 28th-30th at DistribuTECH, the utility industry’s leading annual transmission and distribution event drawing over 14,000 attendees from over 80 countries. With the emergence of renewable sources and the digitization, decentralization, and consumerization of energy, AWS provides the tools for power and utility companies […]
Automotive industry insiders: Join us at CES 2020
Accelerate into the future of mobility. Join the Amazon Automotive team from January 7-10 at CES 2020 in Las Vegas! CES is the global stage for innovation, drawing in nearly 170,000 attendees and more than 4,500 exhibitors from 160 countries. Automotive technology is one of the most prominent topics at CES, attracting executives and business […]
Retailers: Join us at NRF 2020
Come join us from January 12th – 14th at the National Retail Federation’s NRF 2020: Retail’s Big Show. NRF 2020 is the largest conference/expo in the retail industry, drawing nearly 40,000 retailers from all over the world, as well as major technology vendors and partners. This year will mark the 109th event, making it one […]
Building a GPU-enabled CryoEM workflow on AWS
Cryo-electron microscopy (CryoEM) of non-crystalline single particles is a biophysical technique that can be used to determine the structure of biological macromolecules and assemblies. The technique is rapidly becoming the go-to technique in the life-sciences drug discovery process for understanding protein structure. Processing data/images coming from a CryoEM microscope demands a scalable storage for large datasets (median […]
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 […]