Profit from the Ivory Tower: How Businesses Can Turn Eggheads Into Partners-SOLD OUT
Representing McCombs School of Business, Department of Statistics and Data Sciences, Computational Linguistics
A wise man once said that we are all, at our very core, the same. That wise man was wrong.
Friday, January 29, 2016 - 11:30AM - 1:00PM
AT&T Executive Education and Conference Center 1900 University Avenue Room 202 Austin, TX 78705
AT&T Executive Education and Conference Center and surrounding public lots.
FREE LIVESTREAM OPTION
The free livestream link will go live at 11:15 a.m. on Friday, January 29. It is a good idea to check your connection before the program begins. The program may ask you to install Silverlight if you do not already have it on your computer. (Silverlight is a widely-installed Microsoft plug-in for viewing live streaming.) The preferred browser is Chrome or Firefox. Internet Explorer does not work well. If you are not able to join us, the video link will show the video recording 15-20 minutes after the event ends. It will also be posted on YouTube.
It used to be that academics were relegated to their corner offices, molding minds on Mondays, Wednesdays and Fridays, attending staff meetings and gaining tenure. They bounced ideas off fellow professors but worked primarily alone, in the classroom, with a pipe and their monocle as their main companions. A professor’s job was to educate, be studious, and above all, to teach the truth.
In a land far, far away lived the marketer, whose job was to tell grandiose stories, to help sell at any cost, even if that sometimes meant…embellishing the truth. Most of them didn’t even know what a quadragram was; their pipes were cigarettes and their monocles were ironic.
But the rise of data creation and the machine marked a huge opportunity for academics—in particular those focused on data science and computation--to embark on a more traditional career. And so something unthinkable happened: the academic and the marketer were forced to inhabit the same space. And while it’s not always smooth sailing, it is always interesting.
Join Texas alum and digital marketing vet Ken Cho, UT Associate Professor of Statistics James Scott, and UT Associate Professor of Computational Linguistics Jason Baldridge as they talk about overcoming the clash to build a successful company, the real life struggles they have faced, and most importantly, what they have learned from each other.
About People Pattern
People Pattern is a Software as a Service platform that supplies meaningful Audience Insights to the world’s biggest brands. Via semi-supervised machine-learned algorithms and natural language processing, People Pattern turns vast, messy public expression into actionable persona sets, helping brands gain an edge in the race to win, retain and serve customers.
- What the “The Honesty Curve” is, and how to navigate it
- How to translate academia into something profitable
- Ken Cho’s most embarrassing business moment
- How to overcome colleague language barriers, and better your work environment
Ken Cho is co-founder and chief executive officer at People Pattern. Ken has held roles in finance and tech at IBM, Lehman Brothers, and Enron, and has been dubbed the “Forrest Gump of Financial Disasters”. He later founded Spredfast, a SaaS platform that allows organizations to manage, monitor and measure their social media programs.
Ken earned an economics degree from Wesleyan and an MBA from the University of Texas at Austin. He will maintain for eternity that Oasis is the world’s greatest band.
Jason Baldridge is co-founder and Chief Data Scientist at People Pattern. Jason uses his expertise in natural language processing and machine learning to power People Pattern, turning unstructured social text into structured data.
Jason is Associate Professor of Computational Linguistics at the University of Texas at Austin, and is one of the co-creators of the Apache OpenNLP Toolkit. As a professor, Jason works on probabilistic models for categorization and syntax, with a particular emphasis on low-resource languages.
Jason received his Ph.D. from the University of Edinburgh in 2002, where his doctoral dissertation was awarded the 2003 Beth Dissertation Prize from the European Association for Logic, Language and Information. His main academic research interests include categorical grammars, parsing, semi-supervised learning, co-reference resolution and geo-referencing.
James Scott is Chief Statistician at People Pattern. James uses his expertise in Bayesian computation and machine learning and scalable algorithms to develop the People Pattern Audience Insights platform, helping leaders in business achieve better results.
Additionally, James is Associate Professor of Statistics at the University of Texas at Austin. He is the 2014 recipient of the Regents’ Outstanding Teaching Award, the highest teaching award in the University of Texas System. James is affiliated with the Department of Information, Risk, and Operations Management at the University of Texas McCombs School of Business, as well as the Department of Statistics and Data Sciences at the University of Texas College of Natural Sciences.