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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.
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.
Affirm is a payment network that empowers consumers and helps merchants drive growth through flexible and transparent financing options. The company wanted to streamline its security operations program to address manual triage, decentralized tooling, and increasing alert fatigue. AWS Partner Expel offered a managed detection and response (MDR) service that integrated seamlessly with Affirm’s Amazon Web Services (AWS) environment. Expel MDRTM centralizes monitoring, automates routine tasks, and enhances detection and response workflows Expel reduced the volume of security alerts fielded by engineers by 50 percent and helped Affirm scale the foundations of its security operations program efficiently.
MarketReader is an artificial intelligence (AI) analytics platform providing the financial sector with data-driven explanations of real-time asset movement. During development, MarketReader experienced delays in data delivery and received incomplete datasets from its initial data provider—which reduced the quality of the platform’s insights. To launch its differentiated product, the MarketReader team moved to cloud-based data solutions from AWS Partner Nasdaq, hosted on Amazon Web Services (AWS), to obtain direct access to high-quality, real-time market data for all US-listed securities. This approach elevated MarketReader’s US market coverage, increased data delivery time by 98 percent, and helped the platform go live within eight months. MarketReader now delivers timely, accurate insights. It publishes a daily newsletter in only seven minutes, driving customer engagement and expanding the newsletter’s reach up to 400 percent beyond MarketReader’s current client base.
Moov, a payment processor with direct connections to major card networks and payment systems, ensures scalability and availability for high-demand scenarios, from political campaigns to exclusive product drops. With AWS as the backbone, Moov’s solutions connect seamlessly, enabling faster and more scalable money movement across its network. Thanks to AWS Partner Visa and Visa Cloud Connect on AWS, Moov eliminated the need for traditional data centers and infrastructure, streamlining access to payment networks. This innovation delivers immediate transaction insights to customers already on AWS, enhancing the end-user experience and redefining payment processing.
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.
Organizations of all sizes across all industries are transforming their businesses and delivering on their missions every day using AWS. Contact our experts and start your own AWS journey today.