~/talk

Multi-Agent AI: Transforming Business Operations and Value Creation

links:none on file
slides:none on file

Argues that autonomous multi-agent systems move beyond chatbots by doing intent analysis, planning and execution, and shows two deployed solutions: an AI pipeline that automates document validation and quality control for a medical exams provider, and a four-agent team that ingests airline social posts, classifies complaints, posts public replies, escalates to private chats and reports statistics — reducing human operator load while enforcing guidelines and SME rules. Recommends agentic frameworks (Autogen, CREAI, Morphus) and predicts a shift to outcome-based pricing and smaller, faster teams.

AI-written summary · about

  1. 0:00Introduction
  2. 1:14From chatbots to multi-agent systems
  3. 2:40Generative AI limitations
  4. 4:28Role-based multi-agent teams
  5. 8:25Airline disruption case study
  6. 13:27Multi-agent frameworks
  7. 15:59Outcome-based pricing shift
  8. 17:48AI adoption foundations
  9. 18:55Q&A
  10. 21:01Agent approaches and microservices
  11. 23:29Custom agentic framework rationale
  12. 24:53Q&A
~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.