AWS for Industries

Category: Storage

A comparison of a traditional deep learning workflow to the VDS-enabled deep learning workflow in Bluware’s InteractivAI

How Bluware Simplifies Deep Learning for Seismic Interpretation

Overview There’s a global race underway to bring machine learning (ML) techniques to knowledge workers across every industry that extracts insights from data. Oil and gas is no exception. Many exploration and production (E&P) operators and service companies are exploring the technology to help illuminate patterns in seismic data where fuzzy pattern recognition is at […]

Read More
bpx energy Production Monitoring and Surveillance Reference architecture

bpx energy Transforms Production Operations Through AWS Energy Industry Solutions

bpx energy is bp’s US onshore oil and gas production business, part of its resilient and focused hydrocarbons portfolio, a key component of its strategy to become an integrated energy company and to be net zero by 2050 or sooner. bpx energy chose AWS as the strategic cloud platform of choice for Operational Technology stack […]

Read More
AGCO-GrainsProtien_Architecture_Diagram_Livestock

Livestock Health and Quality of Life Monitoring on AWS with Agriculture Leader AGCO

Introduction AGCO is an international Agriculture company focused on professional farm machinery that customers use through every phase of the farming process. AGCO’s Grain & Protein product lines include: a full-line of feed storage and delivery systems, feeders, scales, ventilation, lighting, and environmental controls for livestock production, in addition to diesel engines, tractors, combines, sprayers, […]

Read More

Applying the AWS Shared Responsibility Model to your GxP Solution

The AWS Shared Responsibility Model is often discussed as a topic to illustrate AWS security principles, but you can also apply it to compliance-related activities such as GxP. The shared model provides constructive mechanisms to illustrate the separation of tasks between AWS and the customer. AWS is responsible for the security and compliance of the […]

Read More

Improving the Utilization of Wearable Device Data using an AWS Data Lake

The key to meaningful progress in key global healthcare initiatives, like value-based care, reduction in costs, reduction of errors, and improving outcomes, lies within the vast quantity of data from sources ranging from medical imaging to electronic medical records. IDC projects the total universe of healthcare data to grow approximately 400% between 2020 and 2025, […]

Read More

A Step-by-Step Guide for Deploying IBM Sterling Order Management on AWS

Consumer behavior has changed in recent months with shoppers embracing an omnichannel retail experience like never before. More and more customers are buying online and picking up their order in the store, while many others are buying online and want the flexibility to return items at any store location. You can offer your customers a […]

Read More

Recapping re:Invent: What’s New in Retail

AWS re:Invent 2020, our annual conference for AWS leaders to share the latest advances in AWS technologies, has been a huge success so far. For three weeks, we’ve heard about cutting-edge innovations from keynote speakers, and in this blog, I would like to discuss some of the latest announcements that are most relevant to the […]

Read More

Novartis AG uses Amazon Elasticsearch K-Nearest Neighbor (KNN) and Amazon SageMaker to power search and recommendation (Part 3/4)

This is the third post of a four-part series on the strategic collaboration between AWS and Novartis AG, where the AWS Professional Services team built the Buying Engine platform. In this series: Part 1:  How Novartis AG brought SMART into Smart Procurement with AWS Machine Learning Part 2: Novartis AG uses Amazon SageMaker and Amazon […]

Read More

Modernize your retail edge architecture with microservices

Technology in most retail edge locations (i.e., stores, distribution centers, factories) is a mix of disparate applications and infrastructure, creating a variable IT landscape. This web of complexity prevents companies from quickly and consistently deploying new systems across edge locations. That begs the question: How can retailers manage edge infrastructure at scale with consistency and […]

Read More

Deploy digital biomarkers at scale in clinical trials using serverless services on AWS

Background Traditional assessments of disease progression and intervention efficacy used in clinical trials are often limited. These assessments normally consist of clinical outcome assessments (COAs) and patient reported outcomes (PROs). COAs are physician-derived, often requiring patients to travel to a clinical site. They are typically subjective, episodic in nature, and provide limited insight into the […]

Read More