This post was cowritten by Mulay Ahmed, Assistant Director of Engineering, and Ruby Donald, Assistant Director of Engineering at Principal Financial Group. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. Principal FinancialContinue Reading
According to a Gartner survey in 2024, 58% of finance functions have adopted generative AI, marking a significant rise in adoption. Among these, four primary use cases have emerged as especially prominent: intelligent process automation, anomaly detection, analytics, and operational assistance. In this post, we show you how Amazon QContinue Reading
The Amazon Bedrock multi-agent collaboration feature gives developers the flexibility to create and coordinate multiple AI agents, each specialized for specific tasks, to work together efficiently on complex business processes. This enables seamless handling of sophisticated workflows through agent cooperation. This post aims to demonstrate the application of multiple specializedContinue Reading
Investment professionals face the mounting challenge of processing vast amounts of data to make timely, informed decisions. The traditional approach of manually sifting through countless research documents, industry reports, and financial statements is not only time-consuming but can also lead to missed opportunities and incomplete analysis. This challenge is particularlyContinue Reading
Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. FMs are probabilistic in nature and produce a rangeContinue Reading
Principal is a global financial company with nearly 20,000 employees passionate about improving the wealth and well-being of people and businesses. In business for 145 years, Principal is helping approximately 64 million customers (as of Q2, 2024) plan, protect, invest, and retire, while working to support the communities where itContinue Reading
The financial and banking industry can significantly enhance investment research by integrating generative AI into daily tasks like financial statement analysis. By taking advantage of advanced natural language processing (NLP) capabilities and data analysis techniques, you can streamline common tasks like these in the financial industry: Automating data extraction –Continue Reading
In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. The results are similar to fine-tuning LLMs without the complexitiesContinue Reading
In this post, we present a solution that harnesses the power of generative AI to streamline the user onboarding process for financial services through a digital assistant. Onboarding new customers in the banking industry is a crucial step in the customer journey, involving a series of activities designed to fulfillContinue Reading
Data contains information, and information can be used to predict future behaviors, from the buying habits of customers to securities returns. Businesses are seeking a competitive advantage by being able to use the data they hold, apply it to their unique understanding of their business domain, and then generate actionableContinue Reading
