Nomura 在 Amazon Bedrock 中使用 Meta 的 Llama 模型实现生成式人工智能的大众化

M1 Finance, a fintech startup, needed to innovate beyond third-party clearing services. Using AWS Countdown, M1 successfully built and migrated to its own cloud-based clearing solution, enabling greater control and innovation potential.

OneMain Financial used AWS Step Functions and Amazon EC2 to build its own digital forensics solution, OneFor(ensics), saving costs and reducing the time between alert and investigation.

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

Deriv, one of the world’s largest online brokers, faced challenges accessing vast amounts of data spread across various platforms. It turned to AWS for help and adopted Amazon Q Business, a generative artificial intelligence (AI) tool, to retrieve and process data from multiple sources. By setting up connections to Slack, Google Docs, Google Drive, Web Crawler, and GitHub, Amazon Q Business quickly became integral across departments, including customer support, marketing, content creation, and recruiting. By leveraging Amazon Q Business, Deriv reduced the time spent onboarding new hires by 45 percent, minimized recruiting task times by 50 percent, and dramatically streamlined campaign management for marketing teams.