Market Intelligence with Generative AI

Unlock the power of generative AI to streamline market research and uncover strategic insights from public data sources. This session teaches acquisition professionals how to build defensible, procurement-ready market intelligence using LLMs, enabling faster source identification and smarter decision-making. | Learning Category: On-demand Training| 60 minutes | 1.0 CPE/CLP |$145 Member/$180 Non-member

 

 

 

 

Description:

This session equips acquisition professionals with a practical, defensible approach to market intelligence using Large Language Models (LLMs) paired with search and public data sources. You’ll learn to quickly determine potential sources, map requirement-owner needs to market solutions (e.g., aligning DoW PEO mission needs with startup capabilities), interrogate SEC filings to understand public companies’ strategy and health, and mine patent data to surface nascent or emerging solutions.

We will emphasize repeatable workflows, transparent sourcing, and procurement-ready outputs: how to structure prompts, verify results, document citations, and turn findings into a market landscape that supports acquisition planning, market research reports, and stakeholder decision-making.

Speaker: 

  •  Dan Finkenstadt - Vice President of Research & Senior Fellow, Commerce & Contract Management Institute

Who Should Attend This Session:

  • Contracting officers/specialists, contract managers, and CORs
  • Program/project managers and requirements owners (including DoW PEO/PMO staff)
  • Market research analysts, tech scouts, and Innovation/DIU/AFWERX-style teams
  • Small business/socioeconomic program advocates and industry engagement leads
  • Analysts who support acquisition planning, source selection readiness, or vendor due diligence

What You'll Learn:

  • Apply LLMs to support market research and source identification
  • Summarize key insights from public data to inform acquisition decisions
  • Develop a concise market intelligence summary for stakeholder use

Session Overview:

  • Source discovery
  • Needs-to-Market matching
  • Data-driven insights

CMBOK Competency: C.2 Individual Competence; 3.3 Select Source

Credits: 1.0 CPE/CLP credits for participation

Cost: $145 Members/$180 Non-members

If you'd like to save on all four AI Training sessions, you can purchase the AI Learning Package here.

Course Access: *Note: you must be logged into your NCMA profile to access your courses on My Virtual Training.

 

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