Scaling Agentic AI with Claude, MCP, and Vectors. We'll focus on a financial services Agentic AI case study that empowers analysts with a conversational AI assistant built using Anthropic Claude 3.5 Sonnet on Amazon Bedrock. Elasticsearch vector database. Elasticsearch MCP (Model Context Protocol) Server. This assistant transforms complex workflows—like assessing the impact of market news on thousands of customer portfolios—into an intuitive, natural language dialogue. We'll demonstrate how to build and deploy AI Agents that help: Rapidly identify patterns in complex financial data; Build meaningful correlations, such as linking news sentiment to portfolio performance; Engage with your data in real-time, using natural language. We'll also highlight how MCP servers can integrate additional services, such as weather data and email notifications, demonstrating the power of search and generative AI.
talk-data.com
J
Speaker
Jeff Vestal
1
talks
Principal GenAI Specialist
Elastic
Jeff Vestal has more than a decade of experience in financial trading firms and extensive expertise with Elasticsearch. He brings operational acumen, engineering skill, and machine learning expertise to his work. As a Principal GenAI Specialist, he excels at crafting innovative solutions that leverage Elasticsearch's advanced search capabilities, machine learning features, and generative AI integrations, guiding users to transform complex data challenges into actionable insights.
Bio from: AWS & Elastic joint meetup
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