BEGIN:VCALENDAR VERSION:2.0 PRODID:-//PYVOBJECT//NONSGML Version 1//EN BEGIN:VTIMEZONE TZID:Europe/Luxembourg BEGIN:STANDARD DTSTART:20001029T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:20261114T172124Z - 11586@eu736a.odoo.com DTSTART;TZID=Europe/Luxembourg:20261210T120000 DTEND;TZID=Europe/Luxembourg:20261210T140000 CREATED:20261114T172124Z DESCRIPTION:Agentic AI: Risk\, Control and Accountability\nAgentic AI: Risk\, Control and Accountability A roundtable and lunch wi th AI agents no longer just answer questions: they act. They retrieve data \, make decisions and carry out tasks inside business systems\, often with the access rights of the people they assist.They reach organisations in t wo ways. Some are chosen: agents built for a purpose\, running in the clou d\, locally\, or both. Others arrive embedded in software already in use\, through platform updates and new features that are not always flagged as such. Either way\, the question is no longer whether to adopt agentic AI b ut how to govern what it does. Whether in the cloud\, on-premises or hybri d\, every deployment choice moves risk around rather than removing it. A l ocally hosted model keeps data in-house\, but it is neither secure by defa ult nor necessarily open source. Relying on AI embedded in SaaS platforms hands over part of the operation\, but not the accountability. Cost predic tability differs too: local capacity is an investment\, while pay-per-use depends on prices the provider sets.This round-table brings together busin ess and technology leaders in Luxembourg to share experience\, test assump tions and compare the practices they are building. Questions will include: If AI is embedded in platforms such as SAP or Salesforce\, have you lost a gency\, or outsourced your risk posture?Do you know what data your AI agen ts were trained on\, and does running them locally or on open weights chan ge the answer?Where are the gaps in transparency\, accountability and over sight?What are the advantages and disadvantages of treating an AI agent li ke a human colleague\, particularly when it comes to permissions\, respons ibilities and accountability? Frequently asked questions Here are some com mon questions about our events. Are there any menu options? The same menu is served to all participants\, if you have a special diet\, please [...] DTSTAMP:20261114T172124Z LOCATION:Sazio\, 7 Bisserweg\,\, L-1238 Grund\, Luxembourg SUMMARY:Agentic AI: Risk\, Control and Accountability X-ALT-DESC;FMTTYPE=text/html:Agentic AI: Risk\, Control and Accountability\nAgentic AI: Risk\, Control and Accountability A roundt able and lunch with AI agents no longer just answer questions: they act. T hey retrieve data\, make decisions and carry out tasks inside business sys tems\, often with the access rights of the people they assist.They reach o rganisations in two ways. Some are chosen: agents built for a purpose\, ru nning in the cloud\, locally\, or both. Others arrive embedded in software already in use\, through platform updates and new features that are not a lways flagged as such. Either way\, the question is no longer whether to a dopt agentic AI but how to govern what it does. Whether in the cloud\, on- premises or hybrid\, every deployment choice moves risk around rather than removing it. A locally hosted model keeps data in-house\, but it is neith er secure by default nor necessarily open source. Relying on AI embedded i n SaaS platforms hands over part of the operation\, but not the accountabi lity. Cost predictability differs too: local capacity is an investment\, w hile pay-per-use depends on prices the provider sets.This round-table brin gs together business and technology leaders in Luxembourg to share experie nce\, test assumptions and compare the practices they are building. Questi ons will include:If AI is embedded in platforms such as SAP or Salesforce\ , have you lost agency\, or outsourced your risk posture?Do you know what data your AI agents were trained on\, and does running them locally or on open weights change the answer?Where are the gaps in transparency\, accoun tability and oversight?What are the advantages and disadvantages of treati ng an AI agent like a human colleague\, particularly when it comes to perm issions\, responsibilities and accountability? Frequently asked questions Here are some common questions about our events. Are there any menu option s? The same menu is served to all participants\, if you have a special die t\, please [...] END:VEVENT END:VCALENDAR