Category: Amazon Machine Learning

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) […]

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 […]

Introduction Today, oil and gas operators are challenging their workforce to find more value from legacy data. Artificial Intelligence and Machine Learning (AI/ML) workflows powered by cloud-scale computing are unlocking new insights, but these technologies aren’t optimized for traditional SEG-Y data formats. The industry standard OSDU Data Platform tackles data initial discovery and access, but […]

AWS re:Invent 2024 unveiled game-changing innovations powering the automotive future – autonomous driving breakthroughs, connected vehicle insights, generative AI assistants, sustainable supply chains, and legacy system modernization.

In an era where AI transformation rapidly reshapes industries, financial technology (fintech) companies like Remita constantly seek innovative solutions to enhance their service offerings. One such innovation is the integration of Generative AI, which has the potential to revolutionize various aspects of fintech operations, most importantly enhancing user experience. Remita, a leading Nigerian fintech company, […]

Another re:Invent is behind us, and attendees had a busy week of learning at technical sessions, exploring interactive demos in the expo, networking with peers, and having some fun. We showcased an interactive e-bike machine in the Venetian Expo where attendees got a hands-on experience from a simulated factory and multiple practical use cases. We […]

In a rapidly evolving healthcare job market, finding the perfect role can be overwhelming. Health eCareers, a premier job board for healthcare professionals, is changing the game with a new AI-driven search experience. This blog explores how Health eCareers built high-impact, production-ready AI workloads on Amazon Web Services (AWS) to make job hunting faster, smarter, […]