Category: Artificial Intelligence

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 […]

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 […]

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) […]

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 […]

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 […]

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 […]

Real-World Evidence (RWE) is a domain in which new medical evidence is generated based on data from healthcare and other health services from “the Real World”, compared to clinical trials which are controlled and from specific medical evidence generation. This domain is an evolution of HEOR (Health Economic and Outcome Research) and is particularly inspired by […]

Understanding the human genome is a massive undertaking. The compute power and tools needed alone are staggering, but could be worth untold discoveries. AstraZeneca’s Centre for Genomics Research (CGR) leads the company’s Genomic Initiative on a global scale, with the ambitious goal of analyzing up to two million genomes by 2026. Through this integrated analysis […]