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SUMMARY:Make it\, buy it\, or leave it: Strategies for efficient AI adopti
 on
DTSTART:20260624T073000Z
DTEND:20260624T103000Z
DTSTAMP:20260616T203300Z
UID:indico-event-295@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Start date:  24 June 2026\, 09:00 (CEST)   Entry level:  B
 asicEnd date:  24 June 2026\, 12:30 (CEST)   Subject area:  Artificial
  Intelligence (AI)Location:  ONLINE (Zoom)     Topics:  AI Management
 \, ROI AnalysisLanguage:  English     Target audience:  ManagersPrice
 :  Free (for eligible participants)     Organizers:  AI:ATAI is every
 where at the moment and the pressure to keep up is real. Explore strategie
 s and methods you can use to make your AI project a success\, and apply th
 em to your own business context.Many AI initiatives still fail to deliver 
 an appropriate Return on Investment (ROI). Often\, this is due to missing 
 information on possible strategies and prerequisites to address specific b
 usiness problems with AI. Based on examples\, this workshop introduces app
 licable strategies and methods to assess whether the possible outcome of a
 n AI project is really worth the effort\, before taking significant invest
 ments.More specifically\, we discuss how to assess which problems can be s
 olved efficiently with AI\, AI requirements on data and processes\, as wel
 l as different sourcing options for AI tooling. Most importantly\, we calc
 ulate and analyze the ROI of different AI strategies to enable an informed
  business decision.In hands-on working sessions\, participants apply the e
 xplored strategies on their own real-world examples.Learning Outcomes: Aft
 er attending this course\, you will be able toApply methods to successfull
 y propose\, prepare and asses AI projects and their value for your busines
 sAssess whether your data is ready for AI applicationsAnalyze whether an A
 I project pays off for your businessEstimate cost factors for self-develop
 ed or outsourced AI projects   Agenda & ContentFor a detailed timetable
  and additional information\, please see Agenda & Content in the left menu
 .Target audience\, eligibility & pricesHigh-level managers\, project manag
 ers and product managers that have to argue about the projected return of 
 their AI investmentEntry level & prerequisitesBasic - no previous experien
 ce required. It would be helpful for the group exercises if you prepare a 
 specific AI project that you want to work on.Course formatThis course will
  be delivered as an ONLINE Course via ZOOM. LecturerDaniel Lehner (AI Fac
 tory Austria AI:AT)                        Dr. Dan
 iel Lehner works as expert in AI knowledge transfer at AI Factory Austria 
 AI:AT. He also works as a consultant and trainer at TwinTech\, helping com
 panies to efficiently exploit the potential of digitalization through the 
 use of artificial intelligence and digital twins. In addition to his work 
 with various companies\, he also draws on his many years of experience in 
 researching digital twins and artificial intelligence at Johannes Kepler U
 niversity in Linz.LanguageEnglishDate\, time\, and location24.06.2026\, 09
 :00 – 12:30 (CET)\, via ZOOM ONLINERegistrationRegistration is required\
 , the registration form can be found on top of this page in the menu on th
 e left.Please register with your official institutional email address to p
 rove your affiliation.You will get an automatic confirmation by email (sub
 ject starting with "[Indico] Registration")\, please check your Spam/Junk 
 folders.Following your successful registration\, you will receive further 
 information a few days before the course.Please do not hesitate to contact
  us at training@ai-at.eu if you have any questions.WaitinglistAfter the nu
 mber of registrations has reached its maximum or the registration form has
  been closed\, you may want to send us an email (training@ai-at.eu) statin
 g that you are interested to be put on the waiting list (vacancies may occ
 ur due to cancelations\, etc.).Modification\, withdrawal & no-show policyY
 our registration is binding. Please only register for the course if you ar
 e really going to attend.You can update your registration data or withdraw
  your registration anytime before the registration form has been closed vi
 a the link "Manage my registration" which you can find at the bottom of yo
 ur automatic email confirmation (subject starting with "[Indico] Registrat
 ion").Alternatively\, or after the registration form has been closed\, ple
 ase inform us about your cancelation or any change in your registration da
 ta (especially your mobile-phone number) via email (training@ai-at.eu).No-
 show policy: If you do not cancel and do not show up at the course you wil
 l be blacklisted and excluded from future training events.OrganizersThis c
 ourse is organized by AI Factory Austria AI:AT.AcknowledgementsAI Factory 
 Austria AI:AT has received funding from the European High-Performance Comp
 uting Joint Undertaking (JU) under grant agreement No 101253078. The JU re
 ceives support from the Horizon Europe Programm of the European Union and 
 Austria (BMIMI / FFG). \n\nhttp://events.asc.ac.at/event/295/
LOCATION:Zoom (ONLINE)
URL:http://events.asc.ac.at/event/295/
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