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SUMMARY:Make it\, buy it\, or leave it: ROI Analysis of AI Projects
DTSTART:20261119T080000Z
DTEND:20261119T113000Z
DTSTAMP:20261102T110700Z
UID:indico-event-351@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Start date:  19 November 2026\, 09:00 (CEST)   Entry level:
   BasicEnd date:  19 November 2026\, 12:30 (CEST)   Subject area:  Ar
 tificial Intelligence (AI)Location:  ONLINE (Zoom)     Topics:  AI Ma
 nagement\, ROI AnalysisLanguage:  English     Target audience:  Manag
 ersPrice:  Free (for eligible participants)     Organizer:  AI:ATMany
  companies that try to keep up with AI end up losing a lot of money along 
 the way. In this workshop\, you discover how to perform a Return-on-Inves
 tment (ROI) analysis specifically for AI projects\, in order to invest int
 o the right projects. Based on specifici examples\, you unveil relevant co
 st factors when investing into AI\, and how they influence your strategy w
 hether to make an AI project in-house\, buy external software\, or leave i
 t be from the beginning.In hands-on working sessions\, participants apply 
 the explored techniques on their own real-world examples.The content build
 s on the previous workshop “Make it\, buy it\, or leave it Strategies fo
 r efficient AI adoption” but can be understood completely on its own.Lea
 rning Outcomes: After attending this course\, you will be able toAnalyze w
 hether an AI project pays off for your businessEstimate cost factors for s
 elf-developed or outsourced AI projects  Agenda & Content08:50Zoom Meeti
 ng opens09:00Introduction and Example ROI analysis in the context of AI pr
 ojects10:30Break and Q&A11:00Hands-on Exercise on ROI Analysis11:45Discuss
 ion of exercise results\, Q&A and wrap-up12:30End of courseTarget audience
 \, eligibility & pricesHigh-level managers\, project managers and product 
 managers that have to argue about the projected return of their AI investm
 entEntry level & prerequisitesBasic - no previous experience required. It 
 would be helpful for the group exercises if you prepare a specific AI proj
 ect that you want to work on.LecturerDaniel Lehner (AI Factory Austria AI:
 AT)                        Dr. Daniel Lehner works
  as expert in AI knowledge transfer at AI Factory Austria AI:AT. He also w
 orks as a consultant and trainer at TwinTech\, helping companies to effici
 ently exploit the potential of digitalization through the use of artificia
 l intelligence and digital twins. In addition to his work with various com
 panies\, he also draws on his many years of experience in researching digi
 tal twins and artificial intelligence at Johannes Kepler University in Lin
 z.RegistrationRegistration is required\, the registration form can be foun
 d on top of this page in the menu on the left.Please register with your of
 ficial institutional email address to prove your affiliation.You will get 
 an automatic confirmation by email (subject starting with "[Indico] Regist
 ration")\, please check your Spam/Junk folders.Following your successful r
 egistration\, you will receive further information a few days before the c
 ourse.Please do not hesitate to contact us at training@ai-at.eu if you hav
 e any questions.WaitinglistAfter the number of registrations has reached i
 ts maximum or the registration form has been closed\, you may want to send
  us an email (training@ai-at.eu) stating that you are interested to be put
  on the waiting list (vacancies may occur due to cancelations\, etc.).Modi
 fication\, withdrawal & no-show policyYour registration is binding. Please
  only register for the course if you are really going to attend.You can up
 date your registration data or withdraw your registration anytime before t
 he registration form has been closed via the link "Manage my registration"
  which you can find at the bottom of your automatic email confirmation (su
 bject starting with "[Indico] Registration").Alternatively\, or after the 
 registration form has been closed\, please inform us about your cancelatio
 n or any change in your registration data (especially your mobile-phone nu
 mber) via email (training@ai-at.eu).No-show policy: If you do not cancel a
 nd do not show up at the course you will be blacklisted and excluded from 
 future training events.OrganizersThis course is organized by AI Factory Au
 stria AI:AT.AcknowledgementsAI Factory Austria AI:AT has received funding 
 from the European High-Performance Computing Joint Undertaking (JU) under 
 grant agreement No 101253078. The JU receives support from the Horizon Eur
 ope Programm of the European Union and Austria (BMIMI / FFG). \n\nhttps:/
 /events.asc.ac.at/event/351/
LOCATION:Zoom (ONLINE)
URL:https://events.asc.ac.at/event/351/
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