Category: Amazon Machine Learning

Better data. Better insights. Better outcomes. The AWS for Healthcare team is heading to Orlando for the upcoming HIMSS Global Health Conference & Exhibition, March 11-15. In alignment with the event theme, “creating tomorrow’s health,” the AWS for Healthcare team will showcase our commitment to helping healthcare organizations generate better insights and better outcomes by […]

In today’s retail, consumers have both the infinite shelf of online shopping and the sensory experience of in-store shopping. As such, there is a natural flow that consumers can follow from one to the other creating an endless wardrobe of possibilities. That flow typically starts online and continues in-store. However, when those consumers visit a […]

With the advent of digitalization initiatives and cloud storage, there may be a tendency to forget the “other side”— cases in which specific data or assets still have no digital equivalents. For oil and gas operations in particular, access to physical assets such as paper documents, tapes, or even core samples, is important for gaining […]

The semiconductor industry, known for its intricate manufacturing processes, generates a vast amount of sensor data crucial for analytics and machine learning. However, due to legacy systems and complex data infrastructure, collecting this data in real-time and at scale can be a challenging task. This blog post explains some challenges faced by the semiconductor industry […]

AWS HealthOmics is a managed service designed to help healthcare and life sciences organizations manage genomic and transcriptomic datasets cost-effectively. By automating metadata management, compression, and storage class tiering, HealthOmics frees up researchers to focus on analyzing omics data instead of spending time managing it. Storage efficiency, cost optimization and ease of access to omics […]

As a prelude to re:Invent 2023, AWS hosted the Healthcare and Life Sciences (HCLS) Executive Symposium in Las Vegas on Monday, November 27. The half-day, in-person event, attended by over 300 leaders from 180 organizations, centered around harnessing the power of data, analytics, machine learning (ML), and generative AI to accelerate innovation. This year’s symposium […]

Datalex, a leading provider of omni channel airline retail solutions, has worked with Amazon Web Services (AWS) as both a customer and an AWS Travel and Hospitality Competency Partner. As the Datalex team learned more about the transformative benefits of generative artificial intelligence (AI), they began investigating how to use Amazon Bedrock to enhance the […]

Data governance strategies based on FAIR Data principles can increase operational efficiency and accelerate innovation in R&D. Amazon Web Services (AWS), along with partners such as TetraScience, enable pharmaceutical and biotech customers to adopt FAIR data governance practices with solutions that help process and store large-scale data for research and diagnostic purposes. This blog shows […]

Another re:Invent is behind us, and attendees had a busy week of learning at technical sessions, exploring interactive demos, networking with peers, and having some fun at the re:Play celebration. We had great announcements on new services, features, and solutions that will help manufacturing and industrial companies accelerate their digital transformation journey and assist companies […]

AWS re:Invent 2023 made history for travel and hospitality at Amazon Web Services (AWS). AWS launched over 100 new services, features, instances, and AWS Region expansions. Many of these technological advances will help the travel and hospitality (T&H) industry enhance the traveler and guest experience, improve employee experiences, and optimize operations. Companies such as Air […]