BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//program.berlinbuzzwords.de//bbuzz26//speaker//HSQQGW
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-bbuzz26-CJRUW3@program.berlinbuzzwords.de
DTSTART;TZID=CET:20260609T111000
DTEND;TZID=CET:20260609T115000
DESCRIPTION:Modern ML applications demand features computed in near real-ti
 me with sub-100ms latencies. This talk dives into Chronon\, an OSS feature
  platform bridging streaming data infrastructure and production ML. Using 
 a two-tower search pipeline example\, we'll show how we can chain embeddin
 gs with tabular features while minimizing hot-path computation.
DTSTAMP:20260525T075030Z
LOCATION:Frannz Salon
SUMMARY:Real-Time ML Pipelines: Feature Chaining with Chronon - Varant Zano
 yan
URL:https://program.berlinbuzzwords.de/bbuzz26/talk/CJRUW3/
END:VEVENT
END:VCALENDAR