Come Partner with Us

Automate derivative confirms processing using AWS AI services for the capital markets industry

Favorite Capital markets operation teams face numerous challenges throughout the post-trade lifecycle, including delays in trade settlements, booking errors, and inaccurate regulatory reporting. For derivative trades, it’s even more challenging. The timely settlement of derivative trades is an onerous task. This is because trades involve different counterparties and there is

Read More
Shared by AWS Machine Learning June 26, 2024

Implement exact match with Amazon Lex QnAIntent

Favorite This post is a continuation of Creating Natural Conversations with Amazon Lex QnAIntent and Amazon Bedrock Knowledge Base. In summary, we explored new capabilities available through Amazon Lex QnAIntent, powered by Amazon Bedrock, that enable you to harness natural language understanding and your own knowledge repositories to provide real-time,

Read More
Shared by AWS Machine Learning June 25, 2024

Build safe and responsible generative AI applications with guardrails

Favorite Large language models (LLMs) enable remarkably human-like conversations, allowing builders to create novel applications. LLMs find use in chatbots for customer service, virtual assistants, content generation, and much more. However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation, manipulation of individuals, and the

Read More
Shared by AWS Machine Learning June 25, 2024

Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

Favorite Extracting valuable insights from customer feedback presents several significant challenges. Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. Scalability becomes an issue as the amount of feedback grows, hindering the ability to respond

Read More
Shared by AWS Machine Learning June 25, 2024

Open Source AI Definition – Weekly update June 24

Favorite Explaining the concept of Data information Following @stefano’s publication regarding why the OSI considers training data to be “optional” under the checklist in Open Source AI Definition, the debate has continued. Here are the main points: Preferred Form of Modification @hartmans states finding an agreement on the meaning of

Read More
Shared by voicesofopensource June 24, 2024