Customer Stories / Financial Services / United States

2024

Jefferies Delivers Insights to Customers and Innovates on AWS

Jefferies builds on AWS to help drive innovation across its firm to improve productivity and deliver better insights and advice to its clients.

Jefferies is a growing and a leading investment bank. It started its journey on Amazon Web Services (AWS) to modernize its infrastructure, scale its data centers, and reduce costs using Amazon Elastic Compute Cloud (Amazon EC2), Amazon Simple Storage Service (Amazon S3), and AWS Backup. Today, Jefferies builds on AWS for innovation. Using artificial intelligence (AI), machine learning (ML), and data services, such as Amazon RDS Custom, it enables its salesforce, traders, and bankers to deliver better insights and advice to their clients. In this video, Vikram Dewan, chief information officer (CIO), shares Jefferies' innovation journey on AWS and how the company continues to innovate using AI and generative AI services such as Amazon SageMaker, Amazon Bedrock, and Amazon Q to build new products and grow its competitive advantage.

About Jefferies

Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset-management services. With more than 40 offices around the world, Jefferies offers insights and expertise to investors, companies, and governments.

AWS Services Used

Amazon RDS Custom

Amazon RDS Custom is a managed database service for applications that require customization of the underlying operating system and database environment. Benefits of RDS automation with the access needed for legacy, packaged, and custom applications.

Amazon SageMaker

Amazon SageMaker is a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.

Amazon Bedrock

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Amazon Q

Amazon Q generates code, tests, debugs, and has multistep planning and reasoning capabilities that can transform and implement new code generated from developer requests.

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