AWS for Industries
Category: Artificial Intelligence
Transforming Healthcare: Strategic Advantage of AWS for EHR Migration
Electronic health records (EHRs) are the backbone of clinical decision support. They can streamline the process of recording patient information, reduce errors, and allow for real-time updates. However, on-premises EHR systems have limitations. This is where the cloud comes in. EHRs on the cloud bring additional benefits compared to traditional on-premises EHR systems, like enhanced […]
Yahoo DSP Ad Targeting Uses Amazon SageMaker To Reduce Operating Cost and Increase Audience Reach
Introduction and context Yahoo offers an omnichannel Demand-Side Platform (DSP) that gives advertisers top-notch technology, massive scale, access to premium supply, and trusted consumer relationships. Demand-side platforms are used in digital advertising to enable advertisers and agencies to purchase ad inventory from multiple ad exchanges and supply-side platforms (SSPs) through a single interface. Yahoo’s DSP […]
Amazon Pharmacy Improved Prescription Processing Time by 90% with Gen AI
Generative AI is becoming a central component of success in nearly every industry. We have the unique opportunity to see how different businesses within Amazon are using generative AI to create transformative customer experiences—with nearly 1,000 generative AI applications in motion inside Amazon. This blog post is the first in a series that will explore […]
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. […]
No-Code ML Approach to Predict Heart Disease with Amazon SageMaker Canvas
Build accurate predictive models for early disease detection, as demonstrated through a heart disease prediction use case that transformed complex medical data into actionable insights without requiring coding expertise.
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) […]
Life Sciences and Healthcare Predictive Analytics with Amazon SageMaker Canvas
Artificial intelligence and machine learning (AI/ML) are revolutionizing the Life Sciences and Healthcare industries, from drug discovery and development to patient care. These technologies help to understand disease biology, to accelerate therapeutic discoveries, to optimize resource allocation, and to reduce quality issues, potentially saving lives and reducing healthcare costs. However, building production-grade ML pipelines from […]