Category: Amazon Redshift

AMI 2.0 has gained traction since the early 2020s, promising real-time insights, enhanced grid management, and demand response. By 2029, U.S. smart meter installations will reach 182.9 million, covering 94% of customers. However, AMI 2.0 isn’t just about meters, it demands high-bandwidth communication and scalable storage. A single meter now generates 1,440 data points daily, […]

Generative AI is already reshaping the Healthcare and Life Sciences (HCLS) industry. From AstraZeneca and Pfizer to 3M and the Allen Institute, innovators are using AI to accelerate drug discovery, boost scientist productivity, and streamline clinical workflows. As adoption grows, so does the need for models tailored to HCLS-specific challenges—from medical text summarization to DICOM […]

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 […]

Not too long ago, retailers with physical stores considered their online presence as an addition to their business. In many instances, one didn’t know about the other. And that created a problem for customers who expected to have a seamless experience between shopping from their home and pushing a cart through a store. This inconsistent […]

Legacy mainframe systems remain the backbone of many telecommunications (telco) operators, despite rapid technological evolution. These systems, combining proprietary and vendor-developed applications, remain critical for handling bulk data processing and large-scale transactions. These systems typically handle critical Business Support Systems (BSS) and Operational Support Systems (OSS) workloads, such as the highly transactional processes of rating, […]

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 […]

Generative AI is becoming a central component of success in nearly every industry. We have the unique opportunity to see how different businesses within Amazon are using generative AI to create transformative customer experiences—with nearly 1,000 generative AI applications in motion inside Amazon. This blog post is the first in a series that will explore […]

In the rapidly evolving field of Life Sciences, researchers and healthcare professionals face the challenge of efficiently accessing and analyzing vast amounts of complex genomic, clinical, and imaging data. Traditional data querying methods often require specialized technical knowledge of SQL and database structures, creating bottlenecks in research workflows and limiting the accessibility of valuable insights. […]

How do enterprises efficiently manage networking across hundreds of cloud accounts while maintaining security, reducing costs, and minimizing operational overhead? As organizations such as Swisscom adopt Amazon Web Services (AWS), they face the complex challenge of implementing scalable, automated networking solutions that break away from traditional high-touch, manual approaches. When Swisscom, Switzerland’s leading telecom provider, […]

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 […]