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