~/talk

Akka - Enterprise Agentic AI with Tyler Jewel

linkedin:tylerjewell
slides:none on file

Akka has pivoted into a platform for running stateful agentic systems at enterprise scale and claims 45 customers in production plus a recent competitive win over LangChain. It runs on the JVM with an SDK that wraps actors, persistence and orchestration so teams move from prototypes to 24/7 services; Akka cites one Akka core equals 5–7 Python cores and $2–4k/year compute savings. Concrete deployments include Swiggy: sub‑millisecond model inference and Tubi real‑time personalization using half a dozen models.

AI-written summary · about

  1. 0:00Introduction and welcome
  2. 0:44Speaker's background and AKA's evolution
  3. 3:30AKA's pivot to Agentic AI
  4. 7:45Reliable AI and AKA's advantages
  5. 8:47Production customers and use cases
  6. 11:57AKA's platform value proposition
  7. 16:30Investment rationale and market fit
  8. 18:56Fintech adoption and JVM benefits
  9. 22:49Intellectual roots of AKA
  10. 25:58Future of Agentic AI and enterprise orchestration
  11. 28:05Closing remarks and call to action
~/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.