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Agents for Amazon Bedrock: Leveraging AI-powered assistants for investment research with multi-modal data on Amazon Web Services.

Agents for Amazon Bedrock: Leveraging AI-powered assistants for investment research with multi-modal data on Amazon Web Services.



Financial analysts and research analysts in capital markets face numerous challenges in distilling business insights from a vast array of financial and non-financial data. The increasing variety of tools and data volume requires analysts to synthesize information from multiple sources, both qualitative and quantitative, to provide valuable insights and recommendations. Additionally, analysts must learn new tools and programming languages to keep up with the market’s pace.

Investment research forms the foundation of successful investing, involving thorough research, hypothesis testing, and risk mitigation before portfolio managers make investment decisions. With the use of AI-powered assistants, financial analysts, research analysts, and quantitative traders in capital markets can enhance their productivity by automating tasks and focusing more on high-value creative work.

A solution using Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock has been introduced to assist financial analysts in leveraging various data sources, including text, audio, and databases, along with tools like sentiment analysis, stock query, and portfolio optimization to gather valuable financial insights. AI-powered assistants, powered by generative AI and large language models (LLMs), can understand natural language prompts, generate plans, complete tasks, and deliver results efficiently.

Amazon Bedrock, with its high-performing foundation models from leading AI companies, offers a managed service that allows the building and scaling of generative AI applications with security, privacy, and responsible AI. By using Agents for Amazon Bedrock and Knowledge Bases, specialized agents and AI-powered assistants can be built to run actions based on natural language inputs and an organization’s data, identifying patterns, analyzing trends, and providing actionable insights.

Overall, AI-powered assistants can streamline the process of analyzing financial data, making it easier for financial professionals to stay ahead of market trends, make informed decisions, and unlock new value in financial markets using cutting-edge AI technologies.

Article Source
https://aws.amazon.com/blogs/machine-learning/ai-powered-assistants-for-investment-research-with-multi-modal-data-an-application-of-agents-for-amazon-bedrock/

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