Tag: machine learning

Pfizer, one of the world’s premier biopharmaceutical companies, uses machine learning (ML) and artificial intelligence (AI) for near-real-time monitoring of mammalian cell culture bioreactors to boost batch yield and reduce the risk of contamination. Using Amazon Web Services (AWS), the company developed Manufacturing Intelligence Edge (MI Edge), a platform that uses AI and ML for […]

Welcome to the Financial Services Industry (FSI) Service Spotlight monthly blog series. Each month, we look at five key considerations that FSI customers should focus on to help streamline cloud service approval for one particular service. Each of the five key considerations includes specific guidance, suggested reference architectures, and technical code that can be used […]

Merck KGaA, Darmstadt, Germany, a leading science and technology company, operates across life science, healthcare, and electronics. More than 60,000 employees work to make a positive difference to millions of people’s lives every day by creating more joyful and sustainable ways to live. From providing products and services that accelerate drug development and manufacturing, well […]

On May 15, we hosted the AWS Life Sciences Executive Symposium in Boston, where I led our track on ‘accelerating pharma drug discovery with Machine Learning (ML)’. Over 300 life sciences executives from across 100 organizations attended this half-day, in-person event to explore how they can drive innovation through robust data foundations and machine learning […]

How leading retailers are transforming the industry with advanced cloud-based technologies and services The rise of digital commerce Although digital commerce has been around for almost 3 decades, its growth has recently accelerated, boosted by access to new cloud technologies, better mobile apps, and a raft of new fulfillment options. Consumers are spending more time […]

No matter your business, events likely have a major impact on your demand. Using various solutions from Amazon Web Services (AWS), companies can gain access to high-quality and enriched event data that helps them analyze what’s happening in the real world at a massive scale. This in turn can help them make decisions around staffing, […]

Introduction Advertisers and ad publishers have traditionally relied on third-party cookies, device identifiers, and enriched data from data-management platforms to deliver personalized experiences based on user preferences. With the deprecation of third-party cookies planned for early 2024, changes in device identifiers, and more stringent privacy laws (such as the General Data Protection Regulation [GDPR] and […]

In this post, get a behind-the-scenes look from the Amazon Machine Learning (ML) Solutions Lab team on how the new Expected Return Yards stat from NFL Next Gen Stats was developed. Give us the main idea behind Expected Return Yards and how it came together. In collaboration with AWS over the last five years, the […]

Blog is guest authored by Meen Chul Kim from Children’s Hospital at Philadelphia The ability to quickly and securely share data is a critical success factor for researchers around the world working to find cures for childhood illnesses. Recognizing an opportunity to accelerate this important work, Children’s Hospital of Philadelphia (CHOP) partnered with Amazon HealthLake […]

Many Life Sciences organizations struggle with lab digitalization that can scale, automate data tasks, enable AI/ML, and create collaborative environments that support diverse R&D efforts. The AWS Digital Lab Strategy is a set of services, architectures, and partners to help take advantage of cloud scale and agility. Efforts to build digital lab capabilities seem to […]