BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CFP.DEV//CFP.DEV shortcodes//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Voxxed Days Ticino 2026
X-WR-RELCALID:c426493a-54d4-472b-b975-6f3aaa7163fa
X-WR-TIMEZONE:Europe/Zurich
BEGIN:VEVENT
UID:cfp-1151-8660@cfp.dev
DTSTAMP:20260920T122309Z
SEQUENCE:0
STATUS:CONFIRMED
DTSTART:20260206T101500Z
DTEND:20260206T110000Z
SUMMARY:From Shadows to Spotlight - How Swiss Post Performs Reliable ML Dep
 loyment
DESCRIPTION:Moving a machine learning model from exploration into productio
 n is never a straight path. Academic success often relies on clean dataset
 s\, controlled environments\, and benchmark metrics—but in the real worl
 d\, models face data drift\, latency constraints\, integration challenges\
 , and the risk of wrong predictions directly impacting customers and busin
 ess processes.In this talk\, we share our journey of bringing fraud detect
 ion models from research into production at Swiss Post. We highlight the r
 ole of the shadow model approach\, where new models run in parallel with p
 roduction systems to safely validate performance on live traffic. You’ll
  learn how shadow testing helps measure robustness\, monitor data drift\, 
 and align with business KPIs—without introducing operational risk.Attend
 ees will take away concrete practices for bridging the gap between academi
 c experimentation and real-world operations: how to design safe rollouts\,
  build monitoring pipelines\, and decide when a model is ready for prime t
 ime.\nSpeakers: Giovanni  Degiorgi\nTrack: Data
URL:https://vdt26.voxxeddays.ch/talk/from-shadows-to-spotlight-how-swiss-po
 st-performs-reliable-ml-deployment/
LOCATION:Room B3\nPalazzo dei Congressi\nLugano\, Switzerland
CATEGORIES:Data 
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END:VCALENDAR