Category: AWS Data Exchange

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 […]

It is well known that the majority of stock transactions are automated (as described here and here), for example using applications or “robots” implementing a trading strategy. More recently, an emerging trend in the financial services industry is the movement of trading solutions, such as algorithmic trading solutions, to the cloud (as described here and […]

Background Central banks and financial regulators depend on access to high-quality, up-to-date data from regulated financial institutions such as banks and insurance companies. These regulated entities have widely varying and changing operational environments, each operating independently, but must coordinate with the regulator to exchange relevant data. Today, the costs incurred by banks in supporting regulators’ […]

The restaurant industry (restaurants, catering, and food service distribution), is experiencing massive change, including the need to adopt dynamic business models such as delivery, pickup, and contactless service. At the same time, competition, labor costs, and consumer expectations are greater than ever. This environment creates an opportunity for organizations to augment existing data with third-party […]

With over 75 launches and announcements of new services and major features during re:Invent, it can be hard for any technologist to keep track of the most relevant information for Healthcare and Life Science (HCLS) workloads. Explore the below recap of information important for HCLS customers and links to the top re:Invent breakout sessions. Top […]