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Wisdom Agenda

Wednesday, October 10

10:00am – 5:00pm

Registration + Help Desk Open

12:30pm – 5:30pm CDT

Scott Genzer, RapidMiner

Help us give back to our host city of New Orleans by joining us at the Hackathon! Use your data science (and RapidMiner) skills for good as we aim to solve a problem in predictive analytics that will help the city via their open data set initiative. The winners’ solutions will hopefully be implemented by city officials to improve one or more aspects of life and operations of the City of New Orleans. All levels of RapidMiner user and data scientists are invited to participate in this event. #data4good
To participate, select this additional activity during registration.
No additional fees required to participate.

Basic Training
Jeffrey Mergler and Pavithra Rao, RapidMiner

In this training, we will work through the pre-requisites for the rest of the user conference. We will discuss the whole RapidMiner platform, and provide hands-on practice developing processes in RapidMiner Studio. These processes will cover key techniques and operators that will be used later in the conference. Additionally we’ll provide hints and guidance for becoming a Certified RapidMiner Analyst. This is an opportunity to ask questions and make sure you are prepared to get the most out of RapidMiner Wisdom.

To participate, select this additional activity during registration.
No additional fees required to participate.

5:30pm – 7:00pm

Welcome Reception

Thursday, October 11

8:00am – 5:00pm

Registration + Help Desk Open

8:00am – 9:00am


9:00am – 9:15am

Opening Remarks
Tom Wentworth, RapidMiner

9:15am – 10:00am

No Magic Wands: The Benefits and Dangers of Automated Machine Learning
Ingo Mierswa, RapidMiner

10:00am – 10:15am


10:15am – 11:00am

Time Series Forecasting
Fabian Temme, RapidMiner


Accomplishing Early Prediction of LTV
Jeff Dwyer, ezCater

11:00am – 11:45am

High Volume, High Frequency, Low Latency Data Processing with the Streaming Extension for RapidMiner
Sebastian Land, Old World Computing


Improve Your Business Insights by Building an Anomaly Detection System
Wes Gahagan and Abilash Gatti, Verizon Wireless

11:45am – 12:30pm

Clearing the Fog around Data Science and Machine Learning: The Usual Suspects in Some Unusual Places
Kirk Borne, Booz Allen Hamilton

12:30pm – 1:30pm


1:30pm – 2:15pm

Enhancing Demand Forecast through Advanced Analytics
Jose Meijas and Gilberto Graciani, Hewlett Packard Enterprise


Case Study: Fighting Sepsis with Machine Learning
Bart Abban, Vigilanz

2:15pm – 3:00pm

Deep Learning Discussion
Philipp Schlunder, RapidMiner


AI for Lending
Munwar Shariff, Cappius Technologies Inc.

3:00pm – 3:15pm


3:15pm – 4:45pm


Text Mining Workshop
YY Huang, RapidMiner

3:15pm – 4:00pm

Insights Driving Actions: How to get Real Results from your Data Science Program
Maggie Seeds, Clarkston Consulting

4:00pm – 4:45pm

Environmental Research with RapidMiner: A Case of Success
Rodrigo Fuentealba Cartes, The Pegasus Group

4:45pm – 5:30pm

Rewriting the Rules of Process Improvement
Gabrielle Hendrix, Rockwell Automation


Using Machine Learning to Support Physical Asset Management
Michael Gloven, Expert Infrastructure Solutions

Friday, October 12

8:30am – 1:00pm

Registration + Help Desk Open

8:00am – 9:00am


9:00am – 9:45am


Panel Discussion: The Rise and Empowerment of the “Citizen Data Scientist”
YY Huang, Matt North, Joe Rappaport, Elise Watson, Tom Wentworth (Moderator)

9:45am – 11:00am

RapidMiner Product Extravaganza Featuring the Latest from the Lab
Lars Bauerle and Product Team, RapidMiner

11:00am – 11:15am


11:15am – 12:45pm


Predictive Maintenance Workshop
Pavithra Rao, RapidMiner

11:15am – 12:00pm

Using Text Mining to Improve Customer Service
Brian Tvenstrup, Lindon Ventures

12:00pm – 12:45pm

From Prototype to Operative Software – Data Analytics @ Lufthansa
Dr. Stanislaw (Stan) Schmal and Dr. Fabian Werner, Lufthansa

12:30pm – 1:30pm


1:45pm – 2:30pm

Data Prep Discussion
Tobias Malbrecht, RapidMiner


Recommender Systems: Complex Solutions made Simple with RapidMiner
Marco A. Barradas – Tena, Master Loyalty Group

2:30pm – 3:15pm

Turn Your Employees into Sentiment-Extracting AI
Joe Rappaport, Charles River Labs


Using Machine Learning to Detect Fraud Patterns, Anomalies, and Unusual Behaviors
Ralf Klinkenberg, RapidMiner

3:15pm – 3:30pm

Closing Remarks
Ingo Mierswa, RapidMiner