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X-WR-CALNAME:From standards to systems: Can AI preserve meaning when ISO 20
 022 meets APIs and canonical models?
X-WR-CALDESC:Financial institutions operate across multiple data representa
 tions: ISO 20022\, legacy message formats\, internal canonical data models
 \, APIs and flat files such as CSVs. Each transformation between them requ
 ires interpretation and with it\, the risk of losing meaning. \n\nISO 2002
 2 defines rich business concepts\, constraints\, and relationships. Transl
 ating these semantics into other representations is complex\, time‑consumi
 ng and often requires trade‑off decisions that are difficult to validate a
 t scale. Today\, such transformations can take months of analysis and impl
 ementation effort. \n\nThis session explores whether AI can help accelerat
 e these translations. And more importantly\, whether it can be trusted to 
 preserve semantic integrity. Where can automation genuinely reduce effort\
 , where does it introduce risk\, and what controls are required to ensure 
 meanings\, constraints and validation logic remain intact as standards mov
 e from specifications into systems?
X-WR-RELCALID:1924
X-WR-TIMEZONE:Europe/Berlin
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TZID:Europe/Berlin
TZUNTIL:20281029T010000Z
BEGIN:STANDARD
TZNAME:CET
DTSTART:20251026T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20261025T030000
RDATE:20271031T030000
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TZNAME:CEST
DTSTART:20260329T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RDATE:20270328T020000
RDATE:20280326T020000
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BEGIN:VEVENT
UID:66303462-6135-4837-b563-323735366232
DTSTAMP:20260824T175851Z
DESCRIPTION:Financial institutions operate across multiple data representat
 ions: ISO 20022\, legacy message formats\, internal canonical data models\
 , APIs and flat files such as CSVs. Each transformation between them requi
 res interpretation and with it\, the risk of losing meaning. \n\nISO 20022
  defines rich business concepts\, constraints\, and relationships. Transla
 ting these semantics into other representations is complex\, time‑consumin
 g and often requires trade‑off decisions that are difficult to validate at
  scale. Today\, such transformations can take months of analysis and imple
 mentation effort. \n\nThis session explores whether AI can help accelerate
  these translations. And more importantly\, whether it can be trusted to p
 reserve semantic integrity. Where can automation genuinely reduce effort\,
  where does it introduce risk\, and what controls are required to ensure m
 eanings\, constraints and validation logic remain intact as standards move
  from specifications into systems?
DTSTART;TZID=Europe/Berlin:20260928T144500
DTEND;TZID=Europe/Berlin:20260928T153000
LOCATION:
SUMMARY:From standards to systems: Can AI preserve meaning when ISO 20022 m
 eets APIs and canonical models?
END:VEVENT
END:VCALENDAR