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Predictive Analytics Special Interest Group

Explore the latest trends in predictive analytics and connect with industry professionals at our special interest group. Join us to learn and share knowledge in the field.

The University of Wisconsin E-Business Consortium is hosting a Special Interest Group (SIG) on Predictive Analytics. The group is designed to bring together professionals from various industries to share their knowledge and experience with predictive analytics.

The group will explore the latest techniques and technologies in the field and discuss how they can be applied to solve real-world problems. Discussions will include topics such as machine learning, data mining, and statistical modeling. The group will also provide networking opportunities for attendees, allowing them to connect with other professionals in the field and stay up to date with the latest developments in predictive analytics.

If you would like to learn more about this Special Interest Group, please contact IT Practice Director Heidi Rozmiarek at heidi.rozmiarek@wisc.edu or 608-890-1291.

Predictive Analytics Special Interest Group Virtual Meeting 

Leveraging Data Governance and Ethics to Promote Responsible Data Use 
February 28, 2023 10:00 AM - 12:00 PM 
Join us as we launch our new predictive analytics special interest group by taking a deep dive on the topic of data governance and ethics. 

The UWEBC is excited to announce the launch of a special interest group on predictive analytics. This group's goal is to provide the resources and support needed to help members understand and use predictive analytics in the real world. The inaugural session will focus on trends in data governance and ethics, providing members with up-to-date information on the latest developments in the field. This group is open to anyone in our membership interested in learning more about predictive analytics. The UWEBC hopes that this special interest group will give members an opportunity to network with like-minded individuals and gain valuable insights into the field. By joining the group, members are taking an important step towards becoming more informed and successful in predictive analytics.

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Agenda Items:
10:00 AM Welcome & Opening Remarks
  Heidi Rozmiarek, IT Practice Director at the UWEBC

10:10 AM Member Spotlight: Exact Sciences
  Mary Williams, Associate Director, Enterprise Data Governance
Charlie Angevine, Data Catalog Specialist

11:10 AM Adaptive Data Governance
  Elif Tutuk, Global Head of Product at AtScale

11:55 AM Wrap Up & Closing Remarks
  Heidi Rozmiarek, IT Practice Director at the UWEBC

12:00 PM Adjourn
Events Team, , events@uwebc.wisc.edu 

Past Meeting Assets

Past meeting assets will be found here.

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