ASME IAM3D® Drone Challenge
5/4/2024
8:00 AM - 4:30 PM
Innovative Technology Series: Data Analytics
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NWTC Green Bay
Virtual
Data Analytics – Leveraging Data Analytics to Solve Problems
Part of the new NWTC Innovative Technology Series
Join us for this virtual event – the second of a four-part series of conferences covering innovative technology in cybersecurity, data analytics, AR/VR, and additive manufacturing (3-D printing).
Is your company moving to a data-driven culture? Do you use and understand your organization’s data? What is your data strategy?
With so much data available – from your employees, customers, marketing, products, and more – you could be using it to provide insights and make decisions.
Join Jordan Morrow as he explores the topic, “Leveraging Data Analytics to Solve Problems” in this virtual session.
Featured Speaker
Jordan Morrow –
the “Godfather of Data Literacy”
Jordan Morrow is a global trailblazer in the world of data literacy. He helped pioneer the field by building one of the world's first data literacy programs and driving thought leadership. Morrow is vice president and head of Data and Analytics at BrainStorm, Inc. He served as the chair of the advisory board for The Data Literacy Project, has spoken at numerous conferences around the world, and is an active voice in the data and analytics community. He has also helped companies and organizations around the world, including the United Nations, build and understand data literacy.
The married father of five is an avid trail runner and loves fitness. He has raced in multiple ultra-marathons and enjoys fun adventures in the mountains. Morrow also loves to read (and use Audible), often going through multiple books at a time. He is the author of two books, Be Data Literate and Be Data Driven.
Panelists
Aaron Burciaga
Amazon Web Services (AWS) – Senior Practice Manager
Amy Hardtke
Schreiber Foods – Business Intelligence Developer
Mark Kralovec
Paper Converting Machine Company (PCMC) – Controls Engineer and Software Developer
Partial support for this work was provided by the National Science Foundation's Advanced Technological Education (ATE) program under Award No. 1800965. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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