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VERSION:2.0
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20261023T170253Z
DTSTART;VALUE=DATE:20270301
DTEND;VALUE=DATE:20270304
SUMMARY:Agile Machine Learning Workshop: Conceptualize\, refine\, and imp
 lement your use case
TRANSP:TRANSPARENT
UID:2027_03_02_agile_machine_learning_1007628
DESCRIPTION:Please note: The 3 day in-person event in Frankfurt am Main w
 ill take place between 02 and 04 March and will be preceded by an online
  guidance for drafting a use case proposal. On 30 November 1 pm (Frankfu
 rt time).\n\nIf you want to refresh your expertise and knowledge on sele
 cted advanced machine learning methods ahead of the workshop\, we recomm
 end you to also register for and participate in our online course “Machi
 ne Learning Methods” from 15 to 16 February 2026.\n\nObjective\n\nMachin
 e learning is revolutionizing the financial sector\, offering powerful t
 ools for data analysis and informed decision-making. This course is desi
 gned for experienced professionals looking to harness these methods with
 in their organization.\n\nThe course consists of an agile development wo
 rkshop in which participants further develop their research or analytica
 l use cases and address the conceptual and practical challenges associat
 ed with their implementation. It features hands-on ideation\, programmin
 g\, and collaboration sessions\, including feedback from the moderators 
 and peer-groups. Throughout the course\, participants are expected to re
 gularly present their progress\, share their insights\, and provide feed
 back to peers.\n\nThe online part will guide participants in drafting a 
 one-pager describing a selected use case in their domain\, which they wi
 ll develop during the workshop.\n\nThis course provides a forum for cent
 ral bankers\, regulators\, and supervisors to discuss strategies for dev
 eloping and implementing use cases that leverage advanced machine learni
 ng methods. It presents a unique setting for exchanging knowledge and fo
 stering collaborative innovation.\n\nContents\nConceptual refining of us
 e cases\nAgile development\nHands-on programming\nCollaborative exchange
  and feedback sessions\n\nTarget group\n\nThe course is aimed at data-sa
 vvy central bankers\, regulators and supervisors in areas such as inform
 ation technology and statistics\, or research departments interested in 
 implementing machine learning methods.\n\nRequirements\n\nParticipants a
 re expected to actively contribute to the discussions. They will be aske
 d to present their use case and provide feedback on the projects present
 ed by other participants.\nUse case: Participation requires you to submi
 t and present a use case for implementing machine learning in your juris
 diction. You will further develop this use case during the workshop. Aft
 er the registration deadline\, we will contact all applicants and ask th
 em to provide a brief description of their use case or project by 4 Dece
 mber. The use case will be one of the factors considered when selecting 
 participants to invite. We provide an online guidance for drafting a use
  case proposal on 30 November at 1 pm (Frankfurt time). If you would lik
 e to bring one additional colleague to Frankfurt to help further develop
  and present the project as a team\, please indicate this in your applic
 ation.\nTechnical requirements: Please bring your own device to the work
 shop and ensure that Python is installed and working properly so that yo
 u can work locally. Please also bring any sample data you intend to use 
 for your use case and ensure that it is accessible on your device.\nLang
 uage and software skills: Participants should have a good command of Eng
 lish and sound knowledge of data analysis and statistical software\, inc
 luding Python commands.
LOCATION:Frankfurt am Main
CONTACT:Deutsche Bundesbank – CIC\, tzk@bundesbank.de\, +49 69 9566-36605
 
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