Category: AWS Clean Rooms

In the rapidly evolving world of Healthcare and Life Sciences, real-world data (RWD) has become a powerful catalyst for innovation. Sourced from electronic health records, insurance claims, registries, and even wearable devices, RWD offers a window into how therapies perform in everyday clinical settings. When analyzed effectively, it leads to real-world evidence (RWE)—the clinical insights […]

Many customers struggle to securely ingest, process, govern, and analyze sensitive healthcare data while adhering to vendor and regulatory requirements including HIPAA. In this blog, we introduce a technical offering that enables customers to efficiently solve these challenges. Solving the implementation challenges of healthcare data strategy Many healthcare organizations find it difficult to implement their […]

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 […]

The marketing and advertising technology landscape is undergoing transformation driven by fragmented consumer media and sales channels, new privacy regulations, and a rapid shift toward AI-enabled customer engagement. Companies across industries want to deliver personalized customer experiences and optimized advertising campaigns but struggle with siloed, duplicative, or missing data which hinders real-time use cases. A […]

With the changing landscape of loss in signal addressability and with companies prioritizing consumer privacy, data protection, and data control, Nielsen is using privacy-enhancing technology on Amazon Web Services (AWS) like AWS Clean Rooms—a service that helps you collaborate with your partners without sharing raw data—to help agency customers better understand the impact of their […]

In today’s data-driven world, organizations are constantly seeking ways to extract valuable insights from their data assets, especially when collaborating with their partners. Companies across industries such as advertising, healthcare, media, entertainment, finance, insurance, and others rely on insights generated from first- and third-party datasets to develop new products and services, improve business decision-making, assess […]

Generative AI, large language models (LLMs), and an ever-increasing emphasis on the value of data, has enterprises worldwide scrambling to optimize their data architecture and assets. This is in anticipation of a never-before-seen demand. Many organizations have solely focused on pulling all their data assets into one place with little consideration of the support required […]

Earlier this summer, Amazon Web Services (AWS) hosted a series of events and meetings with hundreds of customers and partners at Cannes Lions. Data clean rooms was a popular topic amongst these conversations, as advertisers and marketers are increasingly looking to future-proof their approach to more securely collaborating with their partners on their collective datasets. […]

Businesses across industries increasingly want to complement their first-party data with partners in order to generate more insights for use cases such as creating a more complete view of their customers, optimizing marketing and advertising campaigns, and improving reporting and measurement. At the same time, these companies want to protect their underlying data and are […]

Drawing a parallel to the story of the IBM PC, this blog post shows how the introduction of an open hardware platform for automotive applications might create a similar environment driving innovation, disruption, and transformation for the automotive industry. This blog post also discusses the potential  advantages for the first automotive company to release such […]