CINCINNATI--(BUSINESS WIRE)--The University of Cincinnati Center for Business Analytics has named Zeynep Tufekci as a keynote speaker at its 8th annual Analytics Summit 2019 being held April 1-3, 2019 at the Sharonville Convention Center in Cincinnati, Ohio. Tufekci will speak on April 3 as part of the event’s Conference Day.
Techno-sociologist Zeynep Tufekci is an internationally recognized authority on the interactions between technology and social, cultural, and political dynamics. She has special expertise in how social change movements are using social media and on the social and moral implications of how we use big data and algorithms to make decisions. The author of "Twitter and Tear Gas: The Power and Fragility of Networked Protests", she is also a TED Speaker and contributing opinion writer to the New York Times.
This year’s event will feature four technical two-day training sessions, one half day training session, and five all-day session tracks. Training sessions will cover topics including Advanced MS Power BI, Machine Learning with R, Advanced Tableau Training, Big Data with Hadoop and Spark, and Analytics for Executives.
The all-day session tracks will focus on Financial/Risk Management Analytics, Marketing Analytics, Operation Analytics, Analytics Management and Leadership, and Analytics Tools.
Complete details and registration information can be found on the Analytics Summit 2019 event registration site.
About
the University of Cincinnati’s Center for Business Analytics
The
Center for Business Analytics at the University of Cincinnati’s Carl
H. Lindner College of Business is a corporate-academic partnership
that brings together a multidisciplinary group of businesses,
organizations, faculty, and students to provide education, and an
exchange of ideas and best practices regarding the application of data
driven analytical methods for enhancing organizational performance.
In collaboration with its corporate sponsors, the center provides symposia, student projects, community training and applied research focused on the use of techniques such as data visualization, data mining, predictive modeling, simulation and optimization to solve important problems faced by businesses, government and non-profit organizations.
