Northwestern Mutual Data Science Institute features AI discussion at annual symposium
The Northwestern Mutual Data Science Institute (NMDSI), a partnership among the University of Wisconsin-Milwaukee, Marquette University and Northwestern Mutual, is hosting its second annual, free-to-the-public symposium on April 24 at the UWM Student Union.
The daylong event will address the evolving landscape of artificial intelligence and how AI will bridge innovation and impact. Attendees will learn about the various facets of AI, hear from industry and academic experts, and network with others in the AI and data science community.
Onsite interview and photo opportunities will be available. For a full schedule of sessions and speakers, and registration, visit the symposium’s website. The symposium will also be livestreamed, and a link to that stream will be available at a later date.
NMDSI is creating a technology ecosystem and advancing southeastern Wisconsin as a national hub for technology, research, business and talent development. Since its inception in 2018, NMDSI has championed academic data science and technology learning while propelling innovation in key areas, including AI, data bias and ethics, behavioral economics, financial literacy, and health and wealth inequities. NMDSI-affiliated research projects use data science to address challenging societal issues that have a local and national impact.
What: Northwestern Mutual Data Science Institute Symposium
When: Wednesday, April 24, 9 a.m. – 6 p.m.
Where: UWM Student Union, 2200 E. Kenwood Blvd., Milwaukee. Attendees can park in the Student Union garage, and parking vouchers will be provided at the symposium.
For more information or to RSVP, contact:
Howie Magner, University of Wisconsin-Milwaukee, media-services-team@uwm.edu
Jenn Lee, Northwestern Mutual, 248-390-8121, jenniferlee@northwesternmutual.com
NOTE: This press release was submitted to Urban Milwaukee and was not written by an Urban Milwaukee writer. While it is believed to be reliable, Urban Milwaukee does not guarantee its accuracy or completeness.
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