Customer Stories / Financial Services

2024
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Nomura Uses Llama Models from Meta in Amazon Bedrock to Democratize Generative AI

Learn about Nomura's journey to democratize generative AI firm-wide using Llama models from Meta in Amazon Bedrock.

Aniruddh Singh, Nomura's executive director and enterprise architect, outlines the financial institution’s journey to democratize generative AI firm-wide using Amazon Bedrock and Llama models from Meta. Amazon Bedrock provides critical access to leading foundation models like Llama, enabling seamless integration. Llama offers key benefits to Nomura, including faster innovation, transparency, bias guardrails, and robust performance across text summarization and code generation

AWS Services Used

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. 

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Llama in Amazon Bedrock

Llama 3.1 demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including a 128K context length, improved reasoning supported by eight languages, and Llama 3.1 405B—the largest publicly available foundation model.

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More Financial Services Customer Stories

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  • United Kingdom

    Mortgage Advice Bureau and BJSS Accelerate Complaints Process Using AWS

    Mortgage Advice Bureau (MAB) is an established, multi-award winning, UK mortgage intermediary that provides advice, both through its own branded brokers and through other brokers. It processes about 12,000 mortgages a month and receives around 400 complaints per year. Those complaints, however, are a serious matter, because MAB is regulated by the UK’s Financial Conduct Authority (FCA), whose Financial Ombudsman is the last resort for disputes. MAB wanted to ensure that it could resolve complaints in a timely manner and before they were escalated to the Financial Ombudsman. It engaged AWS Partner BJSS to help build a solution using AI on Amazon Web Services (AWS) to speed up the processing of complaints, reducing initial response times by 75 percent.

    2025
  • Thailand

    Pi Securities Uses Amazon QuickSight to Develop Advanced BI and CRM Tool

    Pi Securities, leading brokerage company based in Thailand, developed Pi Financial, an application that allows investors to securely trade and manage their assets with ease, all while keeping track of their portfolio growth and achieving their financial goals, after migrating to AWS.

    2024
  • India

    Deriv Reduces Trading Latency by 50% with AWS Global Accelerator

    Learn how Deriv used AWS Global Accelerator to reduce latency by 50% and enhance data protection for secure, reliable trading in remote markets.
    2024
  • Singapore

    AXS Singapore Accelerates Innovation Using AWS, Launching AXS Drive App in 24 Weeks

    Learn how the Singapore-based multi-channel payment solutions provider modernized its infrastructure on AWS, rolling out the innovative app and positioning itself for strategic growth across Southeast Asia.
    2024
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