Category: Industries

FINRA CAT, LLC, a subsidiary of Financial Industry Regulatory Authority (FINRA), announced today it has selected Amazon Web Services (AWS) as its cloud provider for the Consolidated Audit Trail (CAT). The CAT will allow regulators to improve securities market surveillance by creating an extensive audit trail of order information for all U.S. equity securities and listed options across U.S. markets and trading venues. Leveraging AWS’s storage, compute, database, analytics, and security services, CAT ingests more than 100 billion market events per day, pulling together data from 22 stock exchanges and 1,500 broker dealer firms, enabling the U.S. Securities and Exchange Commission and Self-Regulatory Organizations (SROs) to analyze CAT data.

The botany department at the University of British Columbia (UBC) and the UBC Data Science Institute are working together to research the evolution and genetic makeup of sunflowers – a critical crop in addressing global food security.

As nonprofits work toward their missions, resource efficiency is top of mind, so that as much of their budget as possible is dedicated to achieving their mission. Working with limited budgets, nonprofits and charities use the cloud to help them remain lean, scale their missions, and address their skills gaps. Cancer Research UK (CRUK) is the world’s largest independent cancer charity dedicated to saving lives through cancer research.

Cryo-electron microscopy (cryo-EM) — the technology that won the 2017 Nobel Prize in Chemistry — lets scientists peer into the molecular “machines” at work in our cells in ways that were previously impossible. Using advanced microscopes, cryo-EM captures images of proteins flash-frozen in vitreous ice, revealing their 3D structure in near-native states. Even as access to this technology improves, many researchers are still limited by computing bottlenecks. The cryo-EM field needs to provide more hands-on training in how to process such large datasets. Amazon Web Services (AWS) allows us to provide training, broadening the impact of this important structural biology technology.

The Centre for Genomic Pathogen Surveillance (CGPS) is based at the Wellcome Genome Campus, Cambridge and The Big Data Institute, University of Oxford in the United Kingdom. Much of its work involves collaborating with laboratories around the world to enhance genomic surveillance by using big data, engineering, training, and genomic capacity building. Ultimately, the Centre hopes to enable the linking and real-time interpretation of data globally to track pathogens and antimicrobial resistance at an affordable rate. Typically, spikes in cost for research are a common challenge for laboratories. With the cloud, the team wanted to mitigate their costs, and particularly those of their partners in low and middle-income countries, by exploring the Amazon Web Services (AWS) Cloud’s pay-as-you-go infrastructure.

Each year since 1978, thousands of financial services executives and thought leaders gather at Sibos, the largest industry conference focused on emerging technology trends. Sibos will take place September 23-26, 2019, moving to London for the first time, in honor of the city’s central role in the global financial services ecosystem. In the spirit of the conference theme, “thriving in a hyper-connected world,” Amazon Web Services (AWS) will join Sibos to help attendees differentiate technologies that drive long-term business value from short-lived trends, and discover growth opportunities from new platforms and operating models.

Amazon Comprehend Medical is a natural language processing (NLP) service that simplifies the use of machine learning (ML) to extract relevant medical information from unstructured text often found in clinical charts or doctor’s notes. Since the service launched in the AWS Canada (Central) Region in June 2019, it opened up possibilities for Canadian healthcare organizations to better serve patients. Vancouver General Hospital (VGH) and University of British Columbia (UBC) researchers are among the organizations who leverage Amazon Comprehend Medical and Amazon SageMaker, to create their own machine learning models that can triage x-rays to provide a better healthcare experience.

As patients navigate the healthcare system, their records should be easily transferrable between all organizations to ensure continuity of care. Value-based payment programs and increasing consumerism have driven the need for prompt and complete access to clinical information in healthcare systems around the world.