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Predictive Analytics, Big Data and Social Media & Web Analytics.  

Directions to Facility and map of Parking

Mapping of all the conference rooms.

SEATS ADDED!  More than 500 have registered but we have added a few more seats. We will release seats from the wait-list.

If you need to Cancel your ticket to make room for others let us know.

Current list of confirmed speakers:

• Robert Stephens, Founder Geek Squad, Former CTO BestBuy.
  
• Charlie Schick, PhD, WW Director of Marketing Big Data, Healthcare and Life Sciences, IBM
  Predictive Power of Big Data Analytics in Healthcare
  Predicting Outcomes in Healthcare
  
• Robert Cooley, PhD, Chief Technology Officer, OptiMine Software
  Accidental Data Collection - Big Data versus Useful Data
• Dave Anderson, Senior Director, Optum Insight Innovation Lab:
  Natural History of Disease (NHD). 
  
• Michele Chambers, General Manager & Vice President for Big Data Analytics, IBM
  Big Data Drives Big Valuation
• Janee Harteau, Asst.Police Chief, & Jeff Egge, Sgt, City of Minneapolis Police
  Leading the integration of Crime Analysis to determine probability, risk, and future problems to improve public safety and public trust.
  
• Marc Light PhD, Sriharsha Veeramachaneni PhD, & Ken Williams, WindLogics
  Machine learning problems in renewable energy
  
• Prasanna Desikan, PhD Senior Scientific Advisor Allina - Center of Health Care Innovation
  Predictive and Social Analytics for Healthcare Providers
  
• Jaideep Srivastava, U of M:
  Mining of social media data to identify "Actionable Insights from Social Systems".
  Analytics for fraud detection.
• Rob Peglar, CTO-Americas, EMC Isilon
  Enterprise Data Growth: Big Challenges and Big Opportunities
  
• Jason Verlen, Director, Product Strategy & Product Management, Predictive Analytics, IBM
  
  
• Vivek Ajmani, Business Intelligence & Analytics Manager, Medtronic
  Analytics for Noobs.
• Jean-Marie Bertoncelli, 3M
  Predictive Modeling with GeoSpatial
• Jeff Klein, COO, Health Market Science (HMS)
  The Science of Business Insights from Big Healthcare Data & Analytics 
  
• Jamie Ostheimer, PhD, Data Scientist, EnStratus
  Success and Pitfalls of starting an Internal Data Science Practice
• Kathy Lange, Sr Director, SAS Business Analytics Practice, SAS Institute
  Technology Strategies for Big Data Analytics
  
• Chris Kirchberg, Systems Engineer, JMP
  Exploratory Data Analysis and Dynamic Graphics for Big Data
• Mark Holland PhD, Senior Statistician Neuromodulation, Medtronic
  Developing an automated system for identifying patient safety and product quality signals with R and Spotfire S+
• Michael O’Connell, PhD, Sr Director, Analytics, Tibco Spotfire
  Driving new business opportunities & reducing risk with predictive analytics
• Tom David, Predictive Analytics Solutions Architect, CCI
  Using  CCI to build satisfaction models in Modeler.
• Rob Risany, WW BI/AA Strategy and Chief Evangelist of Business Analytics, IBM
  Condition Moitoring and Quality
  Customer
• Tom Rieger, Information Management leader, Informix
  Smart sensor data:  The next big data challenge with always-on data generators
  In-memory data analytics for the rest of us
• Bonnie Holub, Honeywell Endowed Chair in Global Technology Mgmt, Univ of St. Thomas
  Center of Excellence for Big Data
• Chris Engstrom, President, Slipstream Analytics
  Predictive Analytics 101
• Thomas Grabowski, Co-Founder & CEO, RapidEngines
  Three ways to master Twitter and other big data
• Paul Saarinen, Director of Digital Strategy, Yamamoto
  Influence: It's in your genes
• Terry Adams PhD, Professor, UofM Health Informatics  
  

We have access to many rooms and will be running multiple tracks all day.

Netezza User Group Meeting (afternoon)

•  Welcome
•  Netezza Customer Testimonial - speaker TBD
•  In-Database Analytics
      Break
•  Netezza Customer Panel Discussion
•  IBM's Big Data Portfolio
     Wrap-up

In addition, Medtronic senior management asked that we add a "roundtable" for executives across the Twin Cities to connect and learn how this field is impacting business process improvement globally, view newly emerging technologies and engage with the academia driving the future state of predictive analytics.

This event is FREE.

Lunch will be provided.

REGISTRATION IS REQUIRED.  You will not be able to pass through Medtronic security if you are not registered.

U.S. Bank
1 Meridian Crossing
Richfield, MN

Most Presentations now available! Including a link to Vince Del Gabbo's page and Diane Olson's truncate macro.

Vince's page of ExcelXP resources: http://www.sas.com/reg/gen/corp/867226?page=Resources

9:05 An Introduction to Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS; Vince Del Gobbo, SAS Institute
10:40 SAS Enterprise Guide: A Revolutionary Tool for All; Jennifer First, System Seminar Consultants
11:30 Lunch (Sponsored by Safenet Consulting)
12:30 Copy and Append: Developer's Secrets; Diane Olson, SAS Institute
1:50 Introduction to Credit Risk Modeling using SAS; Kevin Hoguas, US Bank
2:30 SAS BI Content Syndication across the Enterprise with the REST Framework; Mike Vanderlinden, Senior Technical Manager, Experis