Category: AWS CloudTrail

In our last blog, How Cloud-based Data Mesh Technology Can Enable Financial Regulatory Data Collection, we set out an approach whereby financial institutions can share data with regulators in a manner that enables ongoing operational flexibility and the evolution of regulators’ data requirements. By building a regulatory data mesh from AWS Data Exchange nodes, participants […]

Ground-breaking new therapies and scientific advances in technology are driving the exponential rate of innovation in the pharmaceutical industry. With the explosion of big data and the complexity that comes with it, leaders in life sciences research and development (R&D) are adopting digital transformation to speed up discovery and maximize investments. Siping “Spin” Wang, President […]

In a previous blog post, we discussed how financial institutions can approve AWS services for highly confidential data. One of the questions we hear from customers is: What are the recommended patterns for data protection of highly confidential data? Many financial services institutions have existing data classification and handling policies that dictate the required encryption […]

On November 26, 2017, the Australian Government announced the introduction of the Consumer Data Right (CDR). Governed by the Australian Competition & Consumer Commission (ACCC), the CDR gives consumers greater control over their data, aiming to improve consumers’ ability to compare and switch between products and services. For example, fintechs can use Open Banking data to help […]

Notice: Customers are responsible for making their own independent assessment of the information in this blog post. This post: (a) is for informational purposes only and nothing in this post constitutes (or is intended to constitute) legal guidance or advice with respect to the matters set forth herein, (b) represents current AWS product offerings and […]

Mainframes are used by financial institutions for critical applications, batch data processing, online transaction processing, and mixed concurrent workloads. They have non-functional requirements such as performance, security, and resource availability to process all workloads, even in development environments. However, potential resource and parallelism reduction may occur during the development of new programs and subsequent testing. […]