Category: Artificial Intelligence

Healthcare organizations and public health agencies handle vast amounts of patient data. Accurately managing and linking sensitive patient information across multiple, potentially disconnected, sources are crucial for care coordination, research, and public health efforts. Building a unified and accurate unified patient index enables healthcare providers to access comprehensive patient histories, researchers to assemble robust datasets, […]

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 […]

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 […]

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 […]

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 […]

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 […]

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. […]

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.

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 […]

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 […]