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Foundational Knowledge
Learn the core concepts of AI agents: what they are, how they work, and features like Retrieval-Augmented Generation (RAG), security, and integrations.
Real-World Applications
Explore how AI agents can automate tasks, support decision-making, and create efficiencies in your work or organization through tailored use-cases.
Hands-On Building
Design and deploy your first AI agent, no coding skills needed. Leave with working AI agents tailored to your own needs. Need help? We'll be there to support.
Secure Agentic AI for Financial Data Research, Earnings Analysis, and Client Reporting
Stack AI helps financial data and analytics companies like FactSet deploy secure AI agents that automate earnings call analysis, market research synthesis, and document intelligence—connecting to internal knowledge bases and enterprise data sources to deliver cited, structured insights at scale.
A SaaS analytics firm used StackAI to build AI-powered text-to-SQL capabilities that cut data request fulfillment time by 80%, going from concept to production in just six weeks. This enabled faster insight extraction and dramatically reduced the burden on data teams.
Workflows used
AI-powered data retrieval.
Text-to-SQL insight extraction
6-week rapid deployment
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