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The Premier Organization for Data Professionals
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October Chapter Meeting - In-person and Streaming

  • Wednesday, October 16, 2024
  • 9:00 AM - 11:30 AM
  • Allianz Life - 5701 Golden Hills Dr, Minneapolis, MN 55416

Registration

  • Select this ticket if you are a DAMA-MN member and plan to attend in person. You must be logged in to select this ticket. Cost is $0 to attend.
  • Select this ticket if you plan to attend in-person and you are member of an affiliated chapter. Please select from the list of affiliated chapters in the selector below for the member price.
  • Select this ticket if you are NOT a DAMA chapter member or member of DAMA-International and you plan to attend in person. The fee has been waived and there is no cost to attend.
  • Select this ticket if you plan to attend by logging into the virtual Webex live-stream meeting. A link to the Webex URL will be sent two days before the meeting
Registration is closed

Join us Wednesday, October 16, 2024 9:00AM - 11:30AM CDT

Doors open at 9:00AM for this in-person event!!  

This is the first in-person chapter meeting in over FOUR YEARS!  You don't want to miss this meeting.  We are planning to live-stream this meeting. 

Registration is open for both in-person and virtual attendance. Please register with the link shown. 

A link to the Teams meeting will be sent out the day before the meeting. And the online meeting "doors" will open at 9:45AM, meeting starts at 10:00AM.

Speaker: Laura B. Madsen 

Author - Speaker - Advisor

Topic:  “Navigating AI Disruption, stories from the book - AI and the Data Revolution” 

Speaker Bio:  Laura Madsen is a global data strategist, advisor keynote speaker and author. She coaches data leaders in healthcare, government, manufacturing, and tech. Laura has spoken at hundreds of conferences and events inspiring organizations and individuals alike with her iconoclastic disrupter mentality. Laura is a co-founder of Minneapolis-based consulting firm, Moxy Analytics where she combines her passion for helping companies define and execute successful data strategies and radically challenging the status quo.


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