AWS for Industries
Author: Richard Caven
is a Worldwide Banking Specialist at AWS. He is responsible for the development and execution of strategic initiatives to help customers migrate to the cloud and drive their digital transformation journey. Richard joined AWS in 2018 from Barclays where he was a Managing Director and COO for the Global Treasury function.
Building an AI Stack for Banking on AWS
The banks who are delivering value from generative AI (gen AI) and machine learning (ML) investments are building AI stacks that are scalable and well governed. These stacks accelerate proofs-of-concept/proofs-of-value into production reliably so that business needs are met. Introduction There is a lot going on in banks related to both gen AI and more […]
How does Cloud enable the transformation of Bank finance functions?
Bank CFOs are transforming their finance functions from both an operations and technology perspective, innovating to simplify their organisational model, increase efficiency and deepen the insight they provide to stakeholders. Cloud technology is enabling these changes by providing a new set of tools to solve some of the enduring business challenges that they face. In […]
Is your Enterprise Risk Management Framework ready for the Cloud?
Chief Risk Officers (CROs) and the risk function both have an important role to play in the continued digital transformation of financial services institutions (FSIs), and the use of Cloud technology to enable it. Cloud technology differs from traditional (on-premises) IT solutions, and the relationship between FSIs and cloud service provider is also different to […]
How Data Mesh Technology Can Help Transform Risk, Finance, and Treasury Functions in Banks
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 […]