featuring Real World Applications of Data Science and Business Analytics

Jason Pontin
Contributing writer to Wired and Senior Advisor at Flagship Pioneering

AM Keynote and Panel Moderator



Jude Schramm
Vice President and CIO at Fifth Third Bank

PM Keynote Speaker and Panelist



In addition to the keynotes, there will be an executive panel discussion and five all-day analytics tracks with three speakers in each.  Click on "information & registration" button below for details.

• $100 off Standard Rate for Training only registration
• $100 off Standard Rate for Event only registration
• $395 off combined registration (Training and Event at same time)

Fundamentals of Machine Learning
Workshop designed for beginners with minimal experience in Machine Learning (ML). Most commonly used tools and methods in ML will be discussed with an applied focus during the workshop.  Taking a hands-on approach using examples in R and Python platforms (no prior programming experience is required), the following topics will be covered:data preprocessing, supervised learning, unsupervised learning, predictive modeling, and ML landscape post deep leaning revolution.

Deep Learning with Keras and Tensorflow in R
This two-day workshop introduces the essential concepts of building deep learning models with TensorFlow and Keras via R. First, we’ll establish a mental model of where deep learning fits in the spectrum of machine learning, highlight its benefits and limitations, and discuss how the TensorFlow - Keras - R toolchain work together. We'll then build an understanding of deep learning through first principles and practical applications covering a variety of tasks.


Tableau MasterClass
We are bringing some of the top Tableau experts in the world to Cincinnati for two days on April 6 & 7 to not only share their expertise, but also show you how to use Tableau to build powerful and effective visualizations.  Each of these instructors is highly regarded in the Tableau community and include Tableau Zen Masters and prolific Tableau public authors. 

Advanced Power BI
  A deep dive into advanced level Power BI skills, covering lesser known but more advanced skills from the Power BI set of features.  This course is a continuation of the "Introduction to Power BI" class or the following knowledge is recommended prior to taking this course: how to connect to data, how to build basic data models, basic PowerBI visualizations, and basic DAX knowledge.


Analytics for Executives 1-day April 7
Business leaders at the Director level and above are invited to attend this informative and non-technical full-day session to help sort through the hype surrounding Analytics. Participants discuss how to improve decision-making in their organizations by better leveraging data and using methods that are appropriate for the problem at hand. The session is facilitated by a seasoned analytic pro with over 30 years of practical experience.

The event site is updated regularly as we receive speaker information.  Registration is now open.

Arun Rai, Georgia State University
Regents' Professor of the University System of Georgia
J. Mack Robinson Chair of IT-Enabled Supply Chains and Process Innovation

We are witnessing the increasing ubiquity of AI, with accelerating deployment across task domains, entrepreneurial activity across industries, and embedding in core processes across digital platforms and firms. Alongside this increasing ubiquity of AI, we are encountering broad unintended consequences, both beneficial and harmful. These unintended consequences are arising from unexpected behaviors and downstream effects that emerge through interactions of AI agents with the environment and with other machine and human agents. To be able to control the actions of AI in ways that harvest its benefits while minimizing harm, we need to develop an integrated understanding of AI behavior in the environments in which it is deployed. I will offer an integrated perspective on AI behavior that considers how AI agents acquire their behavior, how the behavior is triggered and enacted, the interaction dynamics of AI agents with other agents, and the influence of policy decisions on how AI systems evolve. I will draw on this perspective to discuss the research, managerial, and policy implications related to AI behavior.

6:00 PM, Wednesday, April 1, 2020
Open to the Public - Free to Attend
Lindner Hall Auditorium 1410
Register by March 25, 2020

Sponsor
Department of Operations, Business Analytics, and Information Systems

We have a special session in February! Scott Fincher (Data Scientist from KNIME) is coming up from Austin to show off some new features to KNIME and also take us through musical lyric generation with LTSM models. These types of models can be used for all sorts of temporal prediction.

More information to come, but please RSVP early so we can get an appropriate room and food order!

Encrypted Traffic Analysis with Machine Learning with Boyang Wang