AWS for Industries

Category: Artificial Intelligence

Rethinking Energy with Generative AI

Over the course of the last two decades, digitalization across the energy industry has enabled new levels of operational efficiency and productivity while also helping to reduce safety risk and environmental impact. Cloud computing and the ready availability of scalable compute capacity, combined with the rapid advancement of machine learning (ML) technologies, have enabled the […]

CGL Facility Management’s Technicians Use an App from AWS Partner QModo AI to Fix Equipment Fast

Companies seeking to manage buildings successfully and safely for their customers face increasingly complex challenges. And the complexity of management and maintenance increases in buildings that are essential to society. Facilities for healthcare, manufacturing, and criminal justice, for example, can’t operate if their equipment is down. They must also meet strict regulations, compliance, and safety […]

How AWS HealthImaging works: medical image data is created by imaging modalities (e.g. CT scanners, and X-ray), it is temporarily copied to Amazon S3, and then imported to HealthImaging. From there, it can be used by diagnostic viewers and clinical applications (e.g. cloud PACS), for collaboration, and to build, train, and deploy AI/ML.

Introducing AWS HealthImaging — purpose-built for medical imaging at scale

We are excited to announce the general availability of AWS HealthImaging, a purpose-built service that helps builders develop cloud-native applications that store, analyze, and share medical imaging data at petabyte-scale. HealthImaging ingests data in the DICOM P10 format. It provides APIs for low-latency retrieval, and purpose-built storage. Our healthcare customers tell us they want their […]

Executive Conversations with Nosis Bio and Vevo: Using Generative AI on AWS to Shift the Pharmaceutical R&D Paradigm

Today, organizations are looking to harness the power of generative AI, including foundation models (FMs) and large language models (LLMs) to innovate faster to reinvent patient outcomes. While this has created a lot of hype, the adoption of these technologies in real-world drug development is still a challenge for most organizations. Amrita Sarkar, Principal Healthcare […]

Why Mobile Virtual Network Operators thumbnail_working on cell phone

Why Mobile Virtual Network Operators (MVNO) should migrate and build onto AWS

Over the years the number of Mobile Virtual Network Operators (MVNOs) has grown worldwide. The MVNO market is valued at US$ 70.3B in 2022 and projected to reach US$ 147.7B by 2032. This growing market is not only an opportunity for MVNOs, but also a challenge, as it is becoming a more and more competitive […]

Figure 4. Various rig operations distribution for Well F_4 (left) and average at field level (right)

Scalable rig-report-processing solution on AWS

Introduction Daily rig reports, such as drilling, completion, and workover reports, are critical to the oil and gas industry because they provide important information about all rig operations (Figure 1) and help maintain operational efficiency and safety. However, manually processing these reports can be a daunting task, especially given the large volumes of drilling and […]

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Driving Business Outcomes with Clickstream Data

In today’s competitive world, customer obsession isn’t an option, it’s an imperative. Mastering customer obsession starts with data—demographics, psychographics, transactions, purchase records, support cases, product usage, shopping habits, content preferences, and more. According to Gartner report, less than 10% of companies have a 360-view of the consumer. Not because they don’t try, but because it […]

SMART on FHIR authentication flow with HealthLake

Enhanced interoperability with SMART on FHIR support in Amazon HealthLake

Introduction From its launch in July 2021, Amazon HealthLake has provided secure access through AWS Identity and Access Management (IAM). AWS recently launched new FHIR API capabilities on Amazon HealthLake including support for SMART on FHIR 1.0.0. With the support for SMART on FHIR, HealthLake now offers authorization based on the SMART framework using FHIR scopes […]

Implement FAIR scientific data principles when building HCLS data lakes

The FAIR data principles were first proposed in a seminal paper published in 2016 in the Journal Scientific Data. It was written by a group of international experts in data management and curation. To address the challenges that the research community is facing, they proposed FAIR Principles as a framework for making data more discoverable, […]

Applying carbon value modeling to achieve net-zero

Climate change is one of the most pressing issues of our time, and it’s becoming increasingly clear that we need to take rapid action to reduce our carbon emissions. To be carbon-neutral by 2050 and keep the Earth’s mean temperature below 2° C of preindustrial levels, the world must curb emissions by 7.6 percent per […]