Our 10th annual conference for KNIME Users and Enthusiasts takes place on March 13-17 in Hotel Berlin, Berlin! 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. Speakers include representatives from ACCUmotive, Datatroniq, Eli Lilly, Palo Alto Networks, Siemens, Venice Airport, and Vernalis. Dean Abbott will, as every year, conclude the main Summit program on Thursday. More announcements and a detailed agenda are coming soon.
Read what people had to say about our last KNIME Spring Summit in Berlin.
We have added more KNIME Training Courses on Monday and Tuesday and are keeping up the Friday Workshop tradition as well. We are also planning an unforgettable social program!
Having enjoyed our conference dinner on top of the government building in 2016, this year we will be exploring another piece of Berlin's history, the legendary ewerk, located near Checkpoint Charlie. Originally a power plant built in 1926, it was an influential techno music club in the 90s and is now a beautiful event location.
On March 13-14 we are offering several full one day KNIME Training Courses that cover a variety of topics. With your Summit registration you can opt to select 1 or 2 full day training courses:
Please use the Summit registration form to register for one or two of those courses.
The KNIME (Develop|Deploy)ment Days take place on Monday and Tuesday before the KNIME Spring Summit 2017 in Berlin. The purpose of this meeting is to bring together community developers and administrators of KNIME installations to talk about technical aspects of KNIME's software solutions, such as node development, deployment, or administration. Check out the agenda and register here.
This year's Summit features a great line up of speakers and for the first time we will have a dedicated, parallel Life Science Track on Thursday morning.
9:00am - Registration and Breakfast
10:00am - Opening and KNIME Session
12:30pm - Lunch Break
1:30pm - KNIME Session
2:30pm - Session – KNIME in the Enterprise
3:45pm - Afternoon Break
4:15pm - Special Session
5:00pm - End of Day 1
6:00pm - Coaches depart to Dinner Location
7:00pm - Flying Dinner at "ewerk"
8:00am - Registration and Breakfast
9:00am - Parallel Track
|Parallel Track - Life Sciences||Parallel Track - Connectivity|
10:15am - Coffee Break
10:45 - Parallel Track
|Parallel Track - Life Sciences||Parallel Track - Customer Intelligence|
12:00pm - Lunch
1:00pm - Session – Data and Tool Blending
2:30pm - Afternoon Break
3:00pm - Session – Internet of Things
4:15pm - Short Break
4:30pm - Special Session
5:30pm - Open Bar and Poster Session
Our Workshops take place on March 17. They are free of charge in combination with a KNIME Spring Summit registration. During the Summit you can select two 90 minute workshops:
1. KNIME Server Workshop, Jon Fuller and Iris Adä (KNIME)
The KNIME Server Workshop is designed to allow existing or prospective KNIME Server customers to learn how to get the most out of KNIME Server. Learn how to effectively: share workflows, data and metanodes with colleagues, offload computationally intensive tasks to dedicated hardware, schedule tasks to run automatically, server administration managed by KNIME, and deploy analytics generated with KNIME Analytics Platform to end-users with KNIME WebPortal and KNIME Server REST API.
2. KNIME Big Data Workshop, Tobias Kötter and Björn Lohrmann (KNIME)
The KNIME Big Data Workshop is designed to show you solutions for the three Vs of Big Data: Variety, Volume, and Velocity. The workshop will discuss the KNIME Big Data Connectors and in-database processing, advanced analytics powered by Apache Spark and MLlib with the KNIME Spark Executor, distributed execution of KNIME workflows or workflow branches using the KNIME Cluster Execution, as well as High performance scoring services based on REST and compiled PMML.
3. KNIME Text Mining Workshop, Kilian Thiel and Roland Burger (KNIME)
In this KNIME Text Mining Workshop we will briefly explain how the KNIME Textprocessing nodes can be used to read, process, and transform textual data into numerical vectors. Based on these vectors, machine learning techniques, such as clustering and predictive modeling will be applied. Beyond that we will train and use a predictive model as recommender system for news articles, apply the elbow method for document clustering and topic extraction, and create an interaction network of main characters based on the Game of Thrones books.
4. KNIME Image Processing Workshop, Christian Dietz and Martin Horn (KNIME)
The KNIME Image Processing Workshop provides a brief introduction into the analysis of images with KNIME Image Processing. We will walk through several use cases from various fields including: BioImage Analysis and Classification, Car Counting, Face Detection. We will also provide a short overview of our current and future work. The workshop is recommended for users who are familiar with KNIME Analytics Platform and would like to learn more about KNIME Image Processing. We will also give an overview over the different use-cases of KNIME Image Processing (from bio-imaging to face-recognition) and also an introduction about ongoing collaborations future directions.
5. Helping your Boss leverage advanced analytics (and KNIME): Phil Winters and Greg Landrum (KNIME)
We will be sharing some ideas and best practices on not only helping to ensure the great work you do with KNIME is used within your organization but is also recognized as being valuable. This is intended as an interactive session so we hope that you also bring your best practices for sharing with others.
6. IoT Analytics with KNIME Workshop, Stefan Weingaertner (Datatroniq)
If you would like to know more about IoT analytics and how this can be done with KNIME – then this is the workshop for you. Sensors, machine-to-machine and network data are starting to play a leading role in analytics as the Internet of Things becomes a reality. At this workshop you will get an overview of sensor data acquisition, how to access sensor-based sources and the fundamentals of digital signal processing. You will learn how to use visualization techniques and perform feature engineering for machine learning. The presented use case is based on High-Frequency Vibration Data from an electric motor.
7. tba, Dean Abbott (Abbott Analytics)
8. 3D-e-Chem KNIME Nodes for Integrated Structural Cheminformatics Analysis and Computer-Aided Drug Discovery, M. Vass (Vrije Universiteit Amsterdam), S. Verhoeven (Netherlands eScience Center), R. McGuire (Radboudumc, BioAxis Research), C. de Graaf (Vrije Universiteit Amsterdam)
The 3D-e-Chem KNIME nodes enable the integration of cheminformatics and bioinformatics tools for the analysis of structural protein-ligand interaction data and the design of flexible computer-aided drug design workflows (https://3d-e-chem.github.io). New chemical and biological data analytics tools and workflows have been developed that complement existing cheminformatics KNIME nodes to facilitate the efficient exploitation of structural and pharmacological protein-ligand interaction data from proteome-wide databases (e.g. ChEMBLdb and PDB), as well as customized information systems focused on e.g. G Protein-Coupled Receptors (GPCRdb) and protein kinases (KLIFS). The 3D-e-Chem KNIME node toolbox provide building blocks for the design of new approaches in virtual ligand screening (Chemdb4VS), ligand-based metabolism prediction (SyGMa), bioinformatics sequence analyses (ss-TEA), and structure-based protein binding site comparison and bioisosteric replacement for ligand design (KRIPOdb). The open source, freely available Virtual Machine, 3D-e-Chem-VM (http://3d-e-chem.github.io/3D-e-Chem-VM/) facilitates the efficient use of pre-configured 3D-e-Chem tools and other resources.
The 3D-e-Chem session will provide a hands-on tutorial on the different tools and example workflows, and will offer participants the possibility to work on the design of their own computer-aided drug discovery workflows.
9. Temesgen H. Dadi (Free University of Berlin), Julianus Pfeuffer (Eberhard Karls University Tuebingen), and Alexander Fillbrunn (University of Konstanz), SeqAn and OpenMS (CIBI/de.nbi) Integration Workshop
In cooperation with OpenMS from the University of Tübingen and SeqAn from the FU Berlin, this workshop will provide a brief introduction into the analysis of mass spectrometry and sequence data with KNIME. We will demonstrate how to utilize the two tools in KNIME in order to build workflows that retrieve and analyze common life science data and then use standard KNIME nodes to statistically analyze the results. The workshop is recommended for users who are familiar with KNIME and who would like to learn more about using OpenMS and SeqAn to process data from life sciences.