AWS for Industries
Category: Amazon Machine Learning
Netsmart Transforms Behavioral Healthcare with New Feature of AWS HealthScribe
While clinical documentation is a fundamental component of patient care, healthcare providers increasingly find themselves spending more time on documentation rather than quality patient interaction. Amazon Web Services (AWS) HealthScribe, a HIPAA-eligible service, helps healthcare vendors build clinical applications that responsibly leverage generative AI to write preliminary clinical documentation. Netsmart is a health information technology […]
Event-driven medical imaging with AWS HealthImaging and Amazon EventBridge
Healthcare providers collectively acquire billions of medical images each year, and each new image is subject to complex clinical and research workflows that are unique to each organization. New medical images are read, modified, and shared by a myriad of software systems and propagated to other downstream applications. This interoperability is made possible with the […]
Reinventing CPQ with Knowledge Base and Chatbot at Zilliant
Co-authored by Falk Brauer, SVP, Product & Technology – CPQ, Zilliant, and Joshua Tan, Account Manager, AWS Excellent customer experience is a key reason why customers choose and continue to use a product. This is also true for software-based applications. An experience which allows productive use of the end users’ time is widely preferred. With […]
Accelerating Genomic Data Discovery with AI-Powered Natural Language Queries
In the rapidly evolving field of Life Sciences, researchers and healthcare professionals face the challenge of efficiently accessing and analyzing vast amounts of complex genomic, clinical, and imaging data. Traditional data querying methods often require specialized technical knowledge of SQL and database structures, creating bottlenecks in research workflows and limiting the accessibility of valuable insights. […]
WNS Malkom accelerates shipping operations with AWS Bedrock
In the fast-paced world of logistics, every minute counts. When trucks are idle waiting for paperwork processing, it costs companies dollars in wages and delays. Less-than-truckload (LTL) deliveries create a paperwork nightmare that typically causes next-day delays. Enter WNS Malkom’s groundbreaking solution: an AI-powered system that transforms hours of document processing into minutes, enabling same-day […]
Harnessing Generative AI on AWS to Transform Retail Insights
Tapestry, a global luxury fashion holding company, oversees iconic brands such as Coach, Kate Spade New York, and Stuart Weitzman. With over 1,400 retail stores worldwide and more than 18,000 employees, Tapestry sits on a wealth of information that it could use to improve customer experiences and optimize its operations. The company needed an effective […]
Examine genomic variation across populations with AWS
Understanding genomic variation across populations is critical for advancing precision medicine and evolutionary research, but analyzing large datasets can be complex and resource intensive. Amazon Web Services (AWS) provides scalable tools to simplify this process enabling efficient and insightful analysis across diverse genetic data. Introduction The 1000 Genomes Project is a landmark international research initiative […]
Financial Market Infrastructure Providers Cloud Adoption Trends for The First Half of 2024
This blog post has been adopted from a Newsletter Released in the summer of 2024 With warm temperatures in New York, we took a few moments to reflect on a busy first half of the year from a cloud adoption perspective for Financial Market Infrastructure providers (FMIs). Exchanges, clearing houses (CCPs) and security depositories (CSDs) […]
Building a serverless cloud-native EDI solution with AWS: Part 2
Adoption of electronic data interchange (EDI) in healthcare continues to improve the efficiency of electronic claims processing. However, organizations (like the American Medical Association) see an ongoing need to simplify healthcare EDI to make it easier for physicians and reduce uncertainty for patients. Historically, implementation of EDI required complicated or monolithic legacy systems. To combat […]
Using generative AI to create test cases for software requirements
In today’s automotive industry, managing software system requirements is a significant challenge due to the growing complexity and critical nature of these systems. These requirements include functional requirements, such as autonomous driving, infotainment, and user interfaces, and nonfunctional requirements that establish the system’s operational criteria, such as performance, security, and reliability. A recent whitepaper states […]