AWS for Industries

Driving precision oncology care using multi-modal data

Executive Conversations: Driving precision oncology care using multi-modal data with Louis Culot of Philips

At this year’s Amazon Web Services (AWS) Industry Innovators Summit, Louis Culot, Innovation Strategy Leader, Precision Diagnosis at Philips, explained how the company is using cloud technology to integrate disciplines and data, to make precision medicine in oncology more accessible. In this interview, Lisa McFerrin, Worldwide Head of Genomics Solutions at AWS, continues the conversation […]

A Shifting Paradigm: Deciphering patient journeys with the power of AI/ML

A Shifting Paradigm: Deciphering patient journeys with the power of AI/ML

Early detection of diseases and understanding disease progression patterns are critical for ensuring an accurate, timely diagnosis and accelerating access to the best treatments. A comprehensive view of the patient journey can improve health outcomes, whether underlining conditions are rare or common. However, gaining these insights is challenging due to data aggregation, analysis, and communication […]

Unlock Data for Clinical Trial Analytics with MuleSoft and AWS

Unlock Data for Clinical Trial Analytics with MuleSoft and AWS

Blog guest contributing authored by Ryan Stastny, Product Manager at MuleSoft Clinical trials are highly complex, lengthy, and expensive. They require effective collaboration among many key stakeholders including subjects, sites, sponsors, contract research organizations (CROs), and government agencies. However, the data needed to drive successful outcomes is often siloed and inaccessible where and when it […]

In the news: How the NFL is using data to change the game

The National Football League (NFL) is pursuing innovative, data-driven programs to improve player safety, help players achieve their full potential, and make the game even more exciting for fans. Since 2019, the NFL has partnered with Amazon Web Services (AWS) to implement a cloud-based data strategy that uses analytics, machine learning (ML), and artificial intelligence […]

In the news: What businesses can learn from sports leagues

Bundesliga, Germany’s premier national football league, is using artificial intelligence (AI), machine learning (ML), analytics, compute, database, and storage services from Amazon Web Services (AWS) to deliver real-time statistics that improve insights into game strategy and outcomes and to recommend personalized match footage for fans across mobile, online, streaming, and television broadcasts. In this recent […]

The future of revenue management: An interview with Ben Vinod, revenue management author and expert

We frequently ask travel and hospitality companies, including airlines, hotels, travel sellers, ground transportation companies, and more, “What is your focus now that demand for travel is returning?” Invariably, they answer, “Improve our pricing strategy and sales, and enhance our revenue management (RM) capabilities.” We decided to dive deep into these topics and put together […]

How to plan for peak demand on an AWS serverless digital-commerce platform

Lessons from top retailers who manage Black Friday and other peak events on Amazon Web Services (AWS) Traditionally, retailers experience only one or two peak shopping events per year—a common example is Black Friday. But in an increasingly unpredictable economy, organizations need agile platforms that can respond to demand increases whenever and wherever they arise. For […]

See how Capital One is using AWS machine learning at scale to transform banking and payments

Capital One has been a disrupter in the financial services industry since 1994, using technology to transform banking and payments. Today, the “digital bank” is all in on Amazon Web Services (AWS), embracing data analytics, microservices, artificial intelligence (AI), machine learning (ML), and other solutions to continue to innovate. We have successfully exited all of […]