KNIME User Day Boston 2013

Event location: 
Microsoft New England R&D Center (NERD), Cambridge, USA

The KNIME User Day is finally coming to the US! The first KNIME User Day will take place in Boston at the Microsoft New England R&D Center (NERD), One Memorial Drive, Suite 100, Cambridge, MA 02142 from 10:00 to 17:00.

The workshop features a number of presentations about real-life KNIME applications to discover hidden information in data from finance, biochemistry, pharmaceuticals, electricity, supply chains, CRM, market survey, and more.

In addition, a few sessions explore what is new in KNIME, future developments, and how to embed the KNIME Server in the enterprise organization to enable more productive collaborations and a more professional infrastructure.

For those who do not know KNIME yet but are interested in having a glance at how it works, we are running a quick demo at 9:30, just before the workshop starts.

Participation to the workshop is free; you just need to register here.

Preliminary Agenda

09:00 - 09:30    Registration & Coffee and Snacks

Special Session
09:30 - 10:00    Introduction to KNIME for those who do not know it ... yet!

10:00 - 11:00    Session 1: What's new and coming up in KNIME
     10:00 - 10:10  Welcome
     10:10 - 11:00  The new KNIME 2.8 features used in most applications (A. Hart, R. Silipo, KNIME)

11:00 - 11:15    Coffee Break

11:15 - 12:45    Session 2: Data Analytics Applications

     11:15 - 11:45  Web Analysis in 4 easy steps (T. Kötter, CMU)
     11:45 - 12:15  Strategic Business Analytics using Knime (N. Lin, Bentley University)
     12:15 - 12:45  Predicting Sensory Panel Outcomes from Physical Tests (S. Tang, Analytics Consult)

12:45 - 13:45    Lunch Break

13:45 - 15:15    Session 3: Life Sciences using KNIME Enterprise Tools
     13:45 - 14:15  Building a KNIME Platform to enable Science at Lilly (J.A. Lumley, Eli Lilly)
     14:15 - 14:45  Beyond the Workflow: Knime Server and Teamspace use at Cubist (J. Christian Baber & Xin Zhang, Cubist)
     14:45 - 15:15  Analyzing Flow Cytometry Data using R and KNIME (A. Hart, KNIME)

15:15 - 15:30    Coffee Break

15:30 - 17:00    Session 4: Time Series Prediction and Big Data

     15:30 - 16:00  Using Normalized Status Change Events Data in Business Intelligence (M. Cooke, TMA)
     16:00 - 16:30  Beyond Sampling:  Fast, Whole-Dataset Analytics for Big Data on Hadoop (J. Poduska, Actian)
     16:30 - 17:00  Big Data, Smart Energy, and Predictive Analytics (R. Silipo, KNIME) 

17:00 - ~19:00    Networking Apéro Reception (sponsored by Actian)