Carl H. Lindner College of BusinessCarl H. Lindner College of BusinessUniversity of Cincinnati

Carl H. Lindner College of Business
Data Science Symposium Graphic

Data Science Symposium 2017

Tuesday, October 10, 2017  7:30 AM - 1:00 PM    Fee: $150

Location: 112 Lindner College of Business

The Data Science Symposium will showcase presentations from three thought leaders in data science. Each presenter will discuss technical use cases . The event will also include opportunities for networking with other leading analytics professionals and graduate students in the Business Analytics and Information Systems programs. Attendees will receive continental breakfast, box lunch and free parking.

There will be three speaker presentations in the AM  and a panel discussion featuring the three speakers and guests between 12 and 1.

JOE Blue Data Science Symposium

Joe Blue
Director of Data Science
MapR

 

TITLE: "Are you Using All of Your Data?"

 

ABSTRACT: Every piece of information that your business generates has potential to add value. This session is composed of real-world examples that demonstrate how that value may manifest, meant to provoke a review of your own data to identify new opportunities. Vivid accounts from the front line will be presented that illustrate how data limitations (silos, scaling issues, unstructured data) have been overcome to create an orchestration layer which serves multiple use cases. Examples are drawn from media consumption, advertising, financial transactions and healthcare.

BIO: In his role Director of Data Science at MapR, Joe assists businesses in solving their big data problems, making efficient use of the MapR platform to generate tangible results. Recent projects include debit card fraud & breach detection, lead generation from social data, forecasting television audiences, analyzing live patient data and lookalike modeling using browser history. 

Prior to MapR, Joe was the Chief Scientist for Optum (a division of UnitedHealth) and the principal innovator in analytics for healthcare. As a Sr. Fellow with OptumLabs, he applied machine learning concepts to healthcare issues such as disease prediction from co-morbidities, estimation of PMPY (member cost), physician scoring and treatment pathways. As a leader in the Payment Integrity business, he built the predictive scoring machine responsible for saving more than $1B in claim overpayments.

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Mark Wolff  SAS Data Science Symposium

Mark Wolff, Ph.D.
Advisory Industry Consultant
Chief Health Analytics Strategist
Health & Life Sciences Global Practice
SAS Institute

TITLE:  "Rise of the Intelligent Internet of Things: Opportunities and Challenges of Connected People, Environments and Machines"

ABSTRACT:  Rapid advances in the development of the Internet of Things, the Industrial Internet, and Event Stream Processing are creating opportunities and challenges in efficiently capturing, processing and analyzing high volume and high velocity data in support of real time decision making. Pharmaceutical, Biotechnology, Diagnostic and Medical Device companies are increasing their use of sensor data and IoT connectivity to improve and optimize processes in clinical research, development, sales, marketing and manufacturing.  In Healthcare, connected sensors and IoT enabled devices are being used to develop next generation, intelligent clinical decision support systems as well as improving patient experience, health outcomes, safety and managing the cost of care.  In public health, data from sensor networks are being used to address challenges such a food/crop safety, disease/pandemic outbreaks and natural disasters. The rapid adoption of this technology presents challenges and risks related to the quality and integrity of streaming sensor data.  That risk becomes even greater when considering the development and adoption of “autonomous” IoT devices in decision support applications.  As we adopt these technologies for decision making, it will be necessary to develop powerful and predictive analytic methods to monitor, alert and maintain the integrity and veracity of data streams and proactively alert decision makes as to potential errors, malfunctions and security threats.

BIO: Dr. Wolff has over 20 years of experience in the health and life science industries as a scientist and analyst working in the U.S. and Europe. Mark joined SAS in 2005 and is an Advisory Industry Consultant within in the Health and Life Sciences Global Practice.  Mark’s areas of expertise at SAS include the development and application of advanced and predictive analytics in the life sciences and healthcare with a particular interest in patient safety and outcomes. Current work focuses on methods and application of unstructured data and text analytics in support of safety/outcomes research, visualization and development of intelligent, decision support systems for healthcare.  Prior to joining SAS Mark held a variety of research and leadership positions in academia, government and industry. He holds a Bachelor of Science degree from Loyola College in Maryland, a Master of Science and a Doctorate in Toxicology from North Carolina State University.

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Joe Porter Data Science Symposium

Joe Porter
Chief Analytics Officer
Flywheel Digital

TITLE:  Analytics without Action is Academic...  Insights learned over a 20 year journey of driving insights into business action
 

ABSTRACT:To excel in data science takes more than just the science.  Understanding how the business operates, communicating the business building insight, and ensuring the business  takes action is fundamental to delivering a ROI on any analytic investment.  Joe’s presentation will touch on multiple aspects necessary in any analytic engagement to ensure that the business building potential of analysis is realized.

BIO: Joe Porter is the Chief Analytics Officer for Flywheel Digital, an agency that optimizes brand sales for multinationals like P&G, Hershey’s, Godiva, etc. on Amazon.com. Prior to Flywheel, Joe worked at Under Armour, leading analytics for their revenue organization, focused on driving revenues, profit and optimizing inventory across wholesale customers, in their retail stores, and on UnderArmour.com. 

Prior to Under Armour, Joe built his analytic and leadership skills at Procter & Gamble where he spent 17 years working across the breath of P&G’s Global Business Units and Market Development Organizations.  The highlights of his P&G career were leading the BI and Analytic capability for Europe (a $16B business), and starting up P&G’s Big Data and Advanced Analytics organization.

Joe has a BS & MS in Systems Engineering from the University of Virginia; is married with three children; and is an avid athlete, outdoorsman and Ironman triathlete.

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