KNIME Spring Summit 2020

- - Berlin
KNIME Spring Summit Data Science in Action Berlin 2020

KNIME Spring Summit is happening in Berlin, Germany from March 30 - April 3, 2020. Our speakers will highlight how they are using KNIME Software to solve data challenges across industries such as telecommunications, retail, life sciences, manufacturing, finance, and more. We've also got our KNIME courses on offer, giving you the chance to extend your KNIME knowledge, plus an exciting social program, providing plenty of networking opportunities.


Overview – Courses – Agenda – Workshops – VenueRegistration

Confirmed Speakers

We'll be adding more speakers over time - so watch this space! A preliminary agenda will be released closer to the start of the summit.

  • Keynote Speaker: Dean Abbott (SmarterHQ)
  • Hans Samson and Marlene Hakvoort (ANWB)
  • Philippe Minier (Kaufman & Broad)
  • Shinoda Kiyotaka and Okada Akitoshi (Japan Tobacco)
  • Jochen Blessing (innogy SE)
  • James Grimes (Truata)
  • Hüseyin Onur Özcan and Vedat Güneş (Anadolu Sigorta)
  • Torsten Gödeke, André Kugel, and Ingo Geisel (Internetstores)
  • Ignacio Alonso (ASML)
  • Jeroen Temmink (Rabobank)
  • Percy Ringh (Canal Digital) and Jan Lindquist (Redfield)
  • Matthias Stephan (SIEMENS)
  • Tobias Schlüter (Sparkasse KölnBonn)
  • Artem Ryasik (Redfield)
  • Ludwig Ressner (Julius Bär)


Overview – Courses – Agenda – Workshops – VenueRegistration

Get trained in KNIME Analytics Platform and KNIME Server at one of the full-day, hands-on courses before the Summit starts.

Monday, March 30

Tuesday, March 31

KNIME Developers Course

This course is designed for developers who would like to learn how to write their own KNIME nodes. You'll learn how to write basic KNIME Analytics Platform extensions, starting with setting up a developer environment through to deploying your extension to KNIME Analytics Platform installations. More details on the course here. Register below by selecting the "KNIME Summit + Developers Course" ticket.

KNIME Partner Meeting

For all our KNIME Partners: join us at the Partner Meeting on Tuesday afternoon to hear more about the partner program, how it can support your business, how other KNIME Partners are benefiting from the program, and more. Following the meeting, there'll be the chance to network at the Partner Happy Hour. Register below by adding the "KNIME Partner Meeting" ticket to your order.

KNIME Educator Meeting

Attend the educator meeting on Tuesday afternoon to learn how KNIME supports academics and educators. We'll discuss developing online courses with KNIME, certifying your students, and sharing teaching material. The meeting will close with a chance to network with other members of the academic community.

KNIME Certification

Our certification program measures your expertise with different concepts of KNIME as well as current data science skills. Take either L1 (ETL, Data Analytics, and Visualization), or L2 (Basic Machine Learning). Find out more and register here.

Poster Session

We are hosting a poster session (with limited spots) on Thursday evening to offer a dedicated space for thoughtful discussions. Use this opportunity to show how KNIME Software facilitates your work/research, as well as current challenges. Please indicate interest in presenting a poster by checking the respective box in the registration form. In order to ease the selection procedure, please be prepared to provide a title and abstract for your poster when we contact you after registration. Final notice of acceptance will be delivered by March 10, 2020.

Birds of a Feather Sessions

Flock together at our Birds of a Feather (BoF) Sessions to discuss the topics you’re most interested in. Artificial Intelligence & Bias? Machine Learning? Healthcare? We’re collecting the themes suggested by you, the KNIME community. Submit the topic you’d like to discuss in the order form when you register.


OverviewCourses – Agenda – Workshops – VenueRegistration

The summit agenda will be published very soon!


OverviewCoursesAgenda – Workshops – VenueRegistration

Our workshops take place on Friday morning and are free of charge with your summit registration. Select two workshops you'd like to attend (no registration required - just turn up). 

Text Mining on Biomedical Literature - Today: Topic Modeling - Martyna Pawletta (KNIME)

This hands-on workshop will teach you how to build a workflow using text mining methods. We’ll implement a topic modeling approach using documents from biomedical literature related to user-selected diseases of interest. We’ll start by automatically extracting text documents and perform topic modeling using the Latent Dirichlet Allocation (LDA) method. To conclude, you’ll learn how to create interactive visualizatio ns of the extracted documents and topics. We’ll provide the data and an example workflow with some small hands-on exercises. Prior knowledge about KNIME is not required, but you do need to bring your own laptop preinstalled with the latest version of KNIME Analytics Platform and the Text Mining extension.

Time Series Analysis Workshop - Corey Weisinger, Maarit Widmann (KNIME)

At this workshop, you’ll learn about the the main concepts behind Time Series and IoT, before splitting into groups to build the following applications: 

  • Group 1: Visual analytics of time series
  • Group 2: Forecasting with machine learning based models
  • Group 3: Forecasting with ARIMA models

We’ll provide a real-world IoT dataset, jump-start workflows, and final solutions for the proposed tasks. The workflows are built using the set of time series components provided in KNIME for preprocessing, transforming, aggregating, forecasting, and inspecting time series.

SeqAn and OpenMS (CIBI/de.nbi) Integration Workshop - Julianus Pfeuffer (Eberhard Karls Universität Tübingen), René Rahn (FU Berlin)

In cooperation with OpenMS from the University of Tübingen and SeqAn from the FU Berlin, this workshop will give you a concise introduction to analyzing mass spectrometry and sequence data with KNIME. We'll demonstrate how to utilize the tools in KNIME to build workflows that retrieve and analyze common life science data and then use standard KNIME nodes to further process the results. If you are already familiar with KNIME Analytics Platform and would like to learn more about using OpenMX and SeqAN to process data from life sciences, then this workshop is the right one for you.

GDPR Compliance through Advanced Anonymization Techniques - Artem Ryasik, Jan Lindquist (Redfield)

Lack of proper anonymization or pseudonymization introduces risks; if there is a data breach, huge penalties are applied for non-compliance with GDPR. Even if you think you’ve analyzed your data and believe it to be anonymized, there are assessment techniques that can measure the risks. In this workshop you’ll learn how to work with the new Privacy Extension for KNIME, which utilizes advanced anonymization techniques.

Guided Labeling: Human-in-the-Loop Label Generation with Active Learning & Weak Supervision - Paolo Tamagnini, Adrian Nembach (KNIME)

We’re in the age of data. In recent years, many companies have already started collecting large amounts of data about their business. Other companies are starting now. However, before you can train any decent supervised model you need ground truth data. Before you can proceed, you need a sufficiently large set of correctly labeled data records to describe your problem. And data labeling - especially in a sufficiently large amount - is expensive. In this workshop you’ll learn about the main concepts of the Guided Labeling procedure based on Active Learning and Weak Supervision KNIME Extensions. We’ll also show example workflows from the KNIME Hub and blueprint web-applications via the KNIME WebPortal to interactively label any document set while investing only a fractional amount of time in manual labeling and insertion of rules.

KNIME Text Mining with NER Modeling & Deep Learning - Julian Bunzel, Andisa Dewi (KNIME)

In this workshop, you'll learn how to train your own, customized named entity recognition model. You’ll find out how to apply it to extract entities from text, and create entity relation networks. Furthermore, we’ll look at how to transform textual data into numbers to feed them into deep neural networks (LSTM) for prediction.

Behind the Scenes of Machine Learning - Kathrin Melcher, Rosaria Silipo (KNIME)

Do you know the difference between supervised and unsupervised learning? And do you know how a recommendation engine works? Do you know what the algorithm is behind the random forest? We’ll begin by exploring the differences between supervised and unsupervised algorithms and their use cases. Next, we’ll focus on classification problems, taking a look behind the decision tree algorithm, ensembles of it (e.g. random forest), and how to evaluate the models. The last part of the workshop covers a number of unsupervised algorithms with a focus on clustering algorithms and recommendation engines.

Random Forests & Gradient Boosted Trees in KNIME - Dean Abbott (SmarterHQ)

At this workshop you’ll learn why Random Forests and Gradient Boosted Trees are so much more accurate than individual decision trees or even other ensemble approaches (such as Bagging). We'll also look at examples of how to build them in KNIME, and provide practical warnings of how they can fail.

Deep Learning for Image Analysis  - David Kolb, Benjamin Wilhelm (KNIME)

Deep learning - the utilization of many-layered neural networks - now enables computers to make sense of data that have previously been too complex. An example of such are images, where deep learning based approaches achieve excellent results on many tasks. After a brief introduction to image based deep learning (Convolutional Neural Networks), we’ll show you how to build and apply basic Image Analysis deep learning models in KNIME. Here, you’ll learn about tasks such as classification and segmentation, and we’ll look at an additional, more advanced use case. 

Sharing & Deploying Data Science with KNIME Server - Roland Burger, Marten Pfannenschmidt (KNIME)

You’re currently using the open source KNIME Analytics Platform but want to work across teams and business units? KNIME Server is the enterprise software for team-based collaboration, automation, management, and deployment of data science workflows. Non-experts are given access to data science via KNIME Server and WebPortal, or can use REST APIs to integrate workflows as analytics services into applications. At this workshop, we’ll introduce you to KNIME Server capabilities and cover everything you need to manage your analytics at scale - deploying your workflows for sharing and collaboration, scheduling and automating tasks, templating and version control. We’ll demonstrate the power of the REST API of KNIME Server and WebPortal - the ideal way for bringing data analytics to your business users.

Working with the RDKit in KNIME Analytics Platform - Daria Goldmann, Greg Landrum (KNIME)

In this hands-on workshop we'll work through a couple of examples of common cheminformatics use cases selected to give a broad overview of both what you can do with KNIME and what's possible with the RDKit. In addition to using the RDKit KNIME nodes, we'll also provide examples of how you can use the broader functionality available using Python and Java scripting nodes available in KNIME. In this workshop you won't just learn new stuff, you'll also walk out with a couple of useful workflows that you can continue to adapt and use.

KNIME Big Data Workshop - Björn Lohrmann (KNIME)

At this workshop you’ll learn how to perform data wrangling and advanced analytics on big data with the KNIME Big Data Extensions. We’ll show you how to do in-database processing on Apache Hive/Impala, perform advanced analytics with Apache Spark (either locally or on Cloudera, Databricks, ...) and to how to run KNIME workflows directly on Spark.


OverviewCourses – Agenda – Workshops – Venue – Registration

For accommodation, we recommend the following hotels which are within walking distance to bcc Berlin Congress Center: H4 Hotel Berlin Alexanderplatz, Park Inn by Radisson Berlin Alexanderplatz Hotel, and Motel One Berlin-Alexanderplatz.

OverviewCoursesAgenda – Workshops – Venue – Registration