Demonstration of building an agentic AI application to support financial analysts with a conversational AI assistant, including architectural components (Anthropic Claude 3.5 Sonnet, Amazon Bedrock, Elasticsearch Vector Database, Elasticsearch MCP Server) and capabilities such as pattern identification, linking news sentiment to portfolio performance, and real-time natural language data engagement.
talk-data.com
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Speaker
Srinivas Pendyala
1
talks
Solutions Architect
Amazon Web Services (AWS)
Srinivas Pendyala brings over 20 years of experience in enterprise technology solutions. At AWS, he focuses on building joint solutions in data and generative AI. Before joining AWS, Srinivas spent three years at Redis and seven years at Cloudera. At these companies, he managed programs in data engineering, machine learning, and analytics. His expertise spans big data, mobility, and cloud computing solutions for Fortune 500 companies.
Bio from: AWS & Elastic joint meetup
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