KNIME Fall Summit 2017 – Austin

Event date
-
Event location
Austin, Texas, USA

Our 2nd annual fall conference for KNIME Users and Enthusiasts takes place on November 1-3, 2017 in Austin, Texas! We have invited some of the world’s leading data scientists to speak about their use of KNIME software to solve complex data problems in areas including the life sciences, manufacturing, marketing, retail sales, and many others.

The KNIME Fall Summit 2017 will be held near downtown Austin at the AT&T Executive Education and Conference Center. For the second time, we are hosting our signature event in the US, bringing together KNIME users, the KNIME community and partners, and those interested in learning more about KNIME.

Overview – Course AgendaSummit AgendaVenueRegistration

We will start with a day of training courses on Wednesday, November 1 followed by two Summit days (Thursday/Friday, November 2+3). Grab the opportunity to meet with many of the people behind KNIME who will be talking about new and upcoming features of KNIME software. Mingle with fellow KNIME users and the KNIME community and listen to their presentations about how they use KNIME Analytics Platform in a wealth of different application areas. And, as usual, there will be plenty of time during coffee and lunch breaks and drinks at the end of each day for discussions on and around modern analytics.

Overview – Course Agenda – Summit AgendaVenueRegistration

If you are new to KNIME or want to learn more about advanced analytics or big data, sign up for our pre-summit KNIME Training courses on November 1:

Course 1 – KNIME User Course: This one day course is an intensive program designed to provide supervised experience tackling the common tasks you will face in your future analytics work. Learn how to import data from a variety of sources, build, evaluate and select models, visualize results, and generate reports.
Course agenda.

Course 2 – KNIME Big Data Course: This one day course focuses on processing and mining databases with Hadoop and Spark through KNIME by using the KNIME Big Data Extensions. Learn how to interact with these tools through hands-on examples during the course.
Course agenda.

Course 3 – Advanced Analytics Methods, Stefan Weingaertner (AdvancedAnalytics.Academy): This one day course provides an introduction to the most important methodologies, algorithms and ideas in the data scientist's toolbox. Learn how to uncover underlying patterns or concepts in large datasets, group objects into meaningful clusters, classify objects into predefined categories and refine feathres to enrich predictive modeling endeavors.
Course agenda.

Want to learn more about our Summits? Check out our recent KNIME Spring Summit 2017 in Berlin & KNIME Fall Summit 2016 in San Francisco and see the slides and videos from the conference.

OverviewCourse Agenda – Summit Agenda – VenueRegistration

The (almost) final agenda looks as follows:

Wednesday, November 1st

9:00 – 18:00 - Courses

19:00 - Welcome Reception (Seafood Gumbo and Micro Brews)
 

Thursday, November 2nd

9:00 - Registration

10:00 - KNIME Session 1

  • Opening
  • What’s New in KNIME, Bernd Wiswedel and Team (KNIME)

11:50 - "Grab a Coffee or Tea"-Break

12:00 - KNIME Session 2

  • What’s New in Big Data, Tobias Kötter and Team (KNIME)

13:00 - Lunch Break (Tuscan Buffet)

14:00 - Session 1

  • Insights from 20+ years of driving Insights into Business Action, Joe Porter (Flywheel Digital)
  • Workflows for Petroleum Exploration and Production, David Wong (MMI Agency)
  • Guided Analytics in Action: "Your flight is boarding now!", Rosaria Silipo and Vincenzo Tursi (KNIME)

15:30 - Coffee Break

16:00 - Session 2

  • KNIME and the Social Network for Data People, Rafael Pereira (data.world) and Davin Potts (Appliomics)
  • Automated data analysis for HV batteries with KNIME, Maximilian Mücke (ACCUmotive/Daimler) and Patryk Koryzna (DATATRONIQ)
  • From Automating Models to Model Factories, Iris Adä and Phil Winters (KNIME)

17:45 - End of Day 1

19:00 - Summit Buffet Dinner (Scholz (Bier) Garten)
 

Friday, November 3rd

9:00 - Registration & Morning Coffee

9:30 - Session 3

  • The Matched Molecular Pairs Application, or KNIME to UNIX and Back Again, Man-Ling Lee (Genentech)
  • KNIME@​HiTIF: bioimaging workflows for looking inside cells, Prabhakar R. Gudla (National Cancer Institute, National Institutes of Health)
  • Moving past pixie dust to pixel math: leveraging large scale bioimage processing to predict patient survival, Andries Zijlstra (Vanderbilt University Medical Center)

11:00 - Coffee Break

11:30 - Session 4

  • Guided Analytics in Action: “Census and Sensibilities”, Greg Landrum (KNIME)
  • Leveraging KNIME for Fire Analysis and Public Safety, Mohammed Ayub (National Fire Protection Association)
  • t.b.d., Emily Cogsdill (Under Armour Connected Fitness)

13:00 - Lunch Break (Picnic Ziler Buffet)

14:00 - Session 5

  • KNIME Deep Dive: "Deep Learning (and some Images)", Christian Dietz (KNIME)
  • Citizen Data Science initiative at Seagate, Allan Luk (Seagate Technology)
  • Enhancing Internal Audit and Risk effectiveness – a home loan analysis case study, Yusuf Moolla (Risk Insights)
  • Does It Blend Bingo, Rosaria Silipo and Team (KNIME)

16:00 - End of Official Program - Farewell Drinks & Bites

OverviewCourse AgendaSummit Agenda – Venue – Registration

The KNIME Fall Summit will be held in Austin at the AT&T Executive Education and Conference Center.

OverviewCourse AgendaSummit AgendaVenue – Registration

What are the KNIME Summits? The KNIME Summits started as an annual Users General Meeting (UGM) in Zurich, Switzerland inviting users of the KNIME Analytics Platform to demonstrate and talk about how they apply this powerful data analytics tool. Year by year, the conference has grown, moving to larger venues in 2015 in Berlin, Germany. 2016 and 2017 saw the renaming of the conference to the KNIME Spring Summit and the announcement that the KNIME Summits would be held twice a year – in Spring and in the Fall – in Europe and the US.

Our goal is to invite thought leaders from the inter-disciplinary fields in which KNIME Analytics Platform is used and to bring together the KNIME community of practitioners and researchers working in modern, advanced data analytics.