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DTSTART:20260308T030000
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DTSTAMP:20251210T181403Z
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DTSTART;TZID=America/New_York:20251203T150000
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DESCRIPTION:This presentation provides a practical\, hands-on introduction 
 to Agentic AI and Multi-Context Prompting (MCP)\, demonstrating how these 
 emerging techniques can be applied to build intelligent\, autonomous syste
 ms for real-world use cases. We explore the foundational concepts of Agent
 ic AI—including multi-agent architectures\, specialized agent roles\, or
 chestration through LangChain and LangGraph\, and advanced prompting strat
 egies that enhance reasoning and coordination. Through a live demonstratio
 n of an AI-powered Financial Planner\, we showcase how multiple domain-spe
 cific agents collaborate to deliver comprehensive financial guidance cover
 ing wealth management\, education planning\, tax optimization\, retirement
  strategy\, and estate planning.\n\nCo-sponsored by: XDI Lab (www.xdilab.c
 om)\n\nVirtual: https://events.vtools.ieee.org/m/519425
LOCATION:Virtual: https://events.vtools.ieee.org/m/519425
ORGANIZER:hmoradi@ncat.edu
SEQUENCE:11
SUMMARY:Agentic AI in Action\, Building a Planner with LangChain and LangGr
 aph
URL;VALUE=URI:https://events.vtools.ieee.org/m/519425
X-ALT-DESC:Description: <br /><p>This presentation provides a practical\, h
 ands-on introduction to Agentic AI and Multi-Context Prompting (MCP)\, dem
 onstrating how these emerging techniques can be applied to build intellige
 nt\, autonomous systems for real-world use cases. We explore the foundatio
 nal concepts of Agentic AI&mdash\;including multi-agent architectures\, sp
 ecialized agent roles\, orchestration through LangChain and LangGraph\, an
 d advanced prompting strategies that enhance reasoning and coordination. T
 hrough a live demonstration of an AI-powered Financial Planner\, we showca
 se how multiple domain-specific agents collaborate to deliver comprehensiv
 e financial guidance covering wealth management\, education planning\, tax
  optimization\, retirement strategy\, and estate planning.</p>
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