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Fall 2018 Business Analytics Forum

Oct. 10-11, 2018

Knoxville Convention Center

Knoxville, Tennessee

Wednesday, Oct. 10

8:00am - 9:00am

Check In & Breakfast

Henley Concourse

9:00am - 9:40am

9:45am - 10:00am

Break

11:00am - 11:45am

Leveraging Machine Learning to Optimize Home Pricing

301 ABC

11:45am - 1:00pm

Lunch

Ballroom C

1:00pm - 1:45pm

Speed Networking

301 ABC

Get a chance to briefly meet, one-on-one, with a large number of our students.
Each conversation will last 5 minutes. 

1:45pm - 2:00pm

Break

3:00pm - 4:00pm

Break and Load Buses & Travel to Awards

Clinch Concourse

4:00pm - 5:00pm

Awards Ceremony

Haslam Business Building Atrium

5:00pm - 7:00pm

Awards Reception

Haslam Business Building Atrium

Thursday, Oct. 11

8:00am - 9:30am

Networking Breakfast and State of the Department

Ballroom C

9:40am - 10:30am

Reimagine Work – AI Opportunities for Business Users

301 ABC

10:40am - 11:00am

Break

11:00am - 12:00pm

Roundtable Discussion

301 ABC

Attendees will gather at tables of 7-10 people to discuss pressing analytics topics. Faculty will choose topics from suggestions received during registration. Over the course of an hour, each table will discuss each topic, with attendees rotating tables and topics every 15 minutes.

12:00pm - 1:00pm

Lunch

Ballroom C

1:00pm - 1:30pm

Breakout Session 1

Scott Fincher
Knime
Data Scientist
Room 301 A
Randall Beard
Cardlytics
Group President | Advertisers
Room 301 B
Harrison Hicks
University of Tennessee
PhD, Business Analytics
Room 301 C
Hackathon
(For Students)
Room 301 DE

1:30pm - 2:00pm

Breakout Session 2

Scott Fincher
Knime
Data Scientist
Room 301 A
Zachary Kimble
Lirio
Director of Data Science
Room 301 B
Michel Ballings
University of Tennessee
Assistant Professor of
Business Analytics
Room 301 C
Hackathon
(For Students)
Room 301 DE

2:00pm - 2:30pm

Breakout Session 3

Moacyr Passador
MicroStrategy
Director of
Solutions Engineers
Room 301 A
Adam Petrie
University of Tennessee
Lecturer, Business Analytics
and Statistics
Room 301 C
 
Hackathon
(For Students)
Room 301 DE

2:30pm - 3:00pm

East Tennessee's Future in Analytics

Ballroom C

3:00pm - 4:00pm

Hackathon Presentations and Judging

Ballroom C

Each team will give a 4 minute presentation of their analysis. The audience will help decide the winners by scoring each presentation.

4:00pm - 4:30pm

Sports Scheduling Optimization

Ballroom C

While the judges are scoring the winner of the student hackathon, Chris will share with us how he uses analytics to assist with sport scheduling. If you are interested in what he has to say, be sure to stick around for the Student Sport Analytics Club professional panel following the reception.

4:30pm - 5:00pm

Forum Closing Remarks

5:00pm - 6:00pm

Sports Analytics Reception and Hackathon Winners Announced

Henley Concourse

6:00pm - 7:30pm

Sports Analytics Panel

Ballroom C

The University of Tennessee Sports Analytics Club is hosting their annual expert panel at the conclusion of the forum. We hope you will stay to hear from leading experts in this field.

Weller Ross
Football Analytics Coordinator at Houston Texans

Chris Groer
Senior VP, Routing and Optimization at MapAnything

Greg Adamson
Assistant Strength Coach at University of Tennessee

Hao Meng
Senior Director, Basketball Strategy & Analytics at the NBA

Friday, Oct. 12

9:00am - 12:00pm

Sentiment Analysis: Deep Learning, Machine Learning, Lexicon Based? You Choose!

Haslam Business Building Room 201

Do you want to know what your customers, users, contacts, or relatives really think? Find out by building your own sentiment analysis application.

In this workshop you will build a sentiment analysis application, step by step, using KNIME Analytics Platform. After an introduction to the most common techniques used for sentiment analysis and text mining we will work in three groups, each one focusing on a different technique.

Group 1 Group 2 Group 3
Deep Learning: This group will work with the visual Keras deep learning integration available in KNIME (completely code free) Machine Learning: This group will use other machine learning techniques, based on native KNIME nodes Lexicon Based: This group will focus on a lexicon based approach for sentiment analysis

Agenda:
8:00am – 8:20am Sign-in and networking
8:20am – 8:40am Introduction to KNIME Analytics Platform, with demo
8:40pm – 11:00am Introduction to sentiment analysis and hands on workshop
11:00am – Networking

Workshop Requirements:
Your own laptop preinstalled with KNIME Analytics Platform, which you can download from the KNIME website
https://www.knime.com/downloads/download-knime

KNIME Textprocessing extension.
See video link below about installing KNIME extensions.
https://www.youtube.com/watch?v=8HMx3mjJXiw

Extra Instructions for the Deep Learning Group:
If you have already decided to work in the deep learning group, please pre-install Python and Keras. Just follow the instructions provided on our webpage about Deep Learning.
https://www.knime.com/deeplearning/keras

Additional Resource:
If you would like to get familiar with KNIME Analytics Platform, you can explore the content of our E-learning course.
https://www.knime.com/knime-introductory-course

12:00pm

Forum Wraps Up

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