~/talk

AI Powered Contact Center Analytics

Talkat Google Cloud Next '18 · 2018-07-24..07-26· [machine-learning]
links:none on file
slides:none on file

Google demonstrates a Contact Center AI stack using Dialogflow, Agent Assist and Chatbase topic modeling to reduce analysis time from weeks to hours and automate handoffs. Partners run real datasets: Mitel feeds ~20,000 calls through topic modeler and fixes a licensing migration spike, Chatbase maps thousands of intent variations from billions of messages to generate flows in hours, KPMG runs 90,000 chats and finds 90,000 chats → ~100 topics clustered to ~50, and Genesys wires a Google Home flow that sets travel alerts and triggers callbacks—integrations work end to end.

AI-written summary · about

  1. 0:00Introduction to Contact Center AI
  2. 5:48Contact Center AI components
  3. 10:34Mitel’s intelligent customer experience
  4. 22:36Chatbase for virtual agent optimization
  5. 31:54KPMG’s AI-driven contact center insights
  6. 43:29Genesys and Google Assistant integration
  7. 51:21Q&A and wrap-up
~/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.