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April 17 - 19, 2023 Berlin, Germany at Mercure Hotel MOA Berlin

KNIME Spring Summit 2023

Join us for KNIME Spring Summit 2023 in Berlin or online. Take an instructor-led onsite training, hear from business and data experts across multiple industries on how they are leveraging their data with KNIME, and get firsthand news of the latest updates in KNIME software.

3 DAYS OF DATA SCIENCE IN ACTION

Agenda highlights

ONSITE

Summit Day 1 - Trainings

 

 
 
  ONSITE
 
- Morning - 
 
Registration
 
Training of your choice - Part I
From ETL to Machine Learning, and more 
  
- Afternoon - 
 
Training continued - Part II
From ETL to Machine Learning, and more 
 
 
- Evening - 
 
Partner of the Year Ceremony
Welcome Reception & Poster Exhibition
 
 
 
 
 

 

ONSITE | ONLINE

Summit Day 2

 

  ONSITE
 
   ONLINE
 
- Morning -
 
Registration
 
Opening & Keynote
 
Software Updates
 
Presentations
 
- Morning -
 
Opening & Keynote
 
Software Updates
 
Presentations
 
 
 
 
 
 
- Afternoon -
 
Workshops
 
Presentations
 
Partner Exhibition
 
Birds of a Feather Sessions,
Demos, Workflow Doctor
 
Panel Discussion
 
 
 
 
- Evening -
 
Summit Reception 
 
 
 
- Afternoon -
 
Workshops
 
Presentations
 
Online Breakouts
 
Panel Discussion
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
  

 

ONSITE | ONLINE

Summit Day 3

 

  ONSITE
 
   ONLINE
 
- Morning -
 
Registration
 
Presentations
 
Partner Exhibition
 
Birds of a Feather Sessions,
Demos, Workflow Doctor
 
 
 
- Morning -
 
Presentations
 
Online Breakouts
  
 
 
 
  
 
 
 
 
 
- Afternoon -
 
Workshops
 
Presentations
 
Partner Exhibition
 
Birds of a Feather Sessions,
Demos, Workflow Doctor
 
Keynote
 
Close & Networking 
 
 
 
- Afternoon -
 
Workshops
 
Presentations
 
Online Breakouts
 
Keynote
 
 
 
 
 
 
 
 
 
 
 
 
 

 


 

SUMMIT SPEAKERS

Philipp Kowalski Follow me on LinkedIn

Digital Enablement Agent
Siemens

Rita Ostan Follow me on LinkedIn

Scientific Researcher
Fondazione ANT Italia ONLUS

Alberto Montanari Follow me on LinkedIn

Consultant
Fondazione ANT Italia ONLUS

Chris Nugent Follow me on LinkedIn

Director & Head of Innovation
BDO Ireland

Rosaria Silipo Follow me on LinkedIn

Head of Data Science Evangelism
KNIME

Ali Alkan Follow me on LinkedIn

Founder & Managing Partner
InforA

Ina Kayser Follow me on LinkedIn

Head of Studies Master Business Transformation Management
IST-Hochschule für Management

Tobias Schlüter Follow me on LinkedIn

Managing Director
KDU Analytics Solutions

Maria Kaiser Follow me on LinkedIn

Senior Data Scientist
ZF Friedrichshafen AG

Francisco Villarroel Follow me on LinkedIn

Director MSc. in Marketing
LUISS Guido Carli University

Nithin Thomas Follow me on LinkedIn

Data Scientist
ZF Friedrichshafen AG

Why attend a KNIME Summit

Come to Berlin to easily meet industry leaders and new peers in your field, connect with friends face to face, and add an additional level of learning not possible through online events.

Join our onsite, instructor-led courses and workshops for a richer learning experience with the group, get your questions answered faster, and enjoy side discussions with other attendees to dive deeper into the topic.

MOA-Hotel_Testfotos-37472-2048x1366

MERCURE HOTEL MOA BERLIN

Location & accomodation

Welcome to the location of the KNIME Spring Summit 2023: Mercure Hotel MOA Berlin! Spring Summit hotel, located in Berlin’s "Tiergarten", is in the center of Berlin close to famous sites and attractions such as the Brandenburg Gate, the Reichstag building, and the Kurfürstendamm ave. See MAP.

Book your room here and enjoy staying onsite to network more and travel less.

Use this link for our KNIME group rate. (Breakfast included in Summit Pass)


What else to expect

As an onsite ticket holder, you have access to multiple breakout sessions.
Meet face to face with other data experts, connect personally with the presenters, and enjoy in-depth learning.
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Poster Exhibition

Onsite ticket holders

We are inviting you to display your recent work at the Spring Summit.

Send in your submissions and we'll be in touch shortly.

Training 2 - small

Workshops

Onsite | Online

Workshops will be held in the main plenary room on Day 2 and Day 3 of the Summit.

Join any workshop you like with no need to reserve a spot in advance. All workshops will run as a single session in the plenary room onsite and as a single stream online.

There will be workshops around these topics:

  • Spreadsheet users
  • Deep learning
  • Continuous deployment
  • Python integration
  • Tips and Tricks
Women in Tech - small

Birds of a Feather Sessions

Onsite ticket holders

Visit our exhibition area for the Birds of a Feather sessions during selected breaks. Choose a topic that interests you, and join the conversation!

Birds of a Feather sessions will be held on both Day 2 & Day 3 of the Summit.

Topics will be released soon. 

Partner expo - small

Partner Exhibition

Onsite ticket holders

Visit our exhibition area to meet and discuss your specific use cases with our expert partners.

Partner Exhibition will be open on both Day 2 & Day 3 of the Summit.

 

 

 

 

keyvisual-building-the-right-data-pipeline-for-drug-discovery

Online breakouts

Virtual ticket holders

Join the online breakout rooms during breaks to meet the KNIME team and chat with other online attendees.

Breakouts will be open on both Day 2 & Day 3 of the Summit.

More information to come.


onsite only

TRAINING SESSIONS

Summit Day 1
L1-DW | Analytics Platform for Data Wranglers: Basics

TRAINING 1: 9:00AM - 6:00PM

This course is designed for those who are just getting started on their data wrangler journey with KNIME Analytics Platform. It starts with a detailed introduction of KNIME Analytics Platform - from downloading it through to navigating the workbench. 

The course focuses on accessing, merging, transforming, fixing, standardizing, and inspecting data from different sources. It dives into data cleaning and aggregation, using methods such as advanced filtering, concatenating, joining, pivoting, and grouping. And lastly learn how to visualize your data. With all of this, you’ll learn how to get your data into the right shape to generate insights quickly.

We’ll take you through everything you need to get started with KNIME Analytics Platform, so you can start creating well-documented, standardized, reusable workflows for your (often) repeated tasks. This course lets you put everything you’ve learnt into practice in a hands-on session based on real-world use cases.

What level of KNIME experience is needed for this course?
None! We’ll start right from the beginning and teach you everything you need to know to get your data wrangling done with KNIME Analytics Platform.

L2-DW | Analytics Platform for Data Wranglers: Advanced

TRAINING 2: 9:00AM - 6:00PM

This course builds on the KNIME Analytics Platform Course for Data Wranglers: Basics by introducing advanced concepts for building and automating workflows. 

Learn all about flow variables, different workflow controls such as loops, switches, and how to catch errors. And lastly learn how to export your results, format your Excel tables, and look beyond data wrangling towards data science, training your first classification model. 

During the course there’ll be hands-on sessions based on real-world use cases.

What level of KNIME experience is needed for this course?
You should already know how to build workflows using KNIME Analytics Platform. This course doesn’t provide an introduction to KNIME Analytics Platform - it focuses on more advanced concepts of automating and building workflows.

L3-DA | Productionizing Data Apps

TRAINING 3 9:00AM - 6:00PM

You have developed a nice data app with KNIME Analytics Platform. What are the next steps to productionize it? In this course we will show you what to do to get your data app up and running, including: testing, deployment on KNIME Business Hub, permissions & versioning, custom styling, orchestration, and more.

The course includes sentiment analysis workflows that can be used over any type of text, and a “what country has this flag?” game that is implemented as a data app. Besides learning about data apps in KNIME, you will have multiple workflows that can be adapted to your needs by the end of the course. 

In the first session of this course, you will learn what needs to be checked before deploying a data app on KNIME Business Hub. In the second session, you will be introduced to KNIME Business Hub — including how to upload workflows and deploy them as data apps or workflow schedules. Next, in the third session, you will learn how to create interactive data apps that can be deployed on KNIME Business Hub and made available as web browser applications. Finally, in the fourth session, you will learn about runtime optimization, workflow orchestration, and general best practices. We wrap up in a fifth session with exercise solutions. 

At the end of each session, we will provide some practical exercises to test and apply your knowledge.

L4-DE | Best Practices for Data Engineering

This course focuses on how to use KNIME Analytics Platform for data engineering and how to apply best practices when building data processing pipelines.

Learn the concepts behind connecting to multiple data sources, the methods for data anonymization, and advanced database topics. Be introduced to the Apache Hadoop ecosystem and find out how to handle big data with the Apache Spark integration. Finally, learn how to build and orchestrate modular workflows.

Put your knowledge into practice with hands-on exercises to build and orchestrate two applications: first, extract, validate, transform, blend, anonymize, and load the customer data to a database; second, use Spark to access, impute missing values, and aggregate the website usage data. 

This is an in-person instructor-led course run by our KNIME data scientists. 

What level of KNIME experience is needed for this course?
This course doesn’t provide a detailed introduction to KNIME Analytics Platform. You should be competent in using KNIME Analytics Platform. We expect that you have already built KNIME workflows and are aware of the workflow control concepts such as flow variables, loops, switches, and error handling. We recommend taking this course after obtaining the L1 and L2 KNIME proficiency or equivalent.

L4-DV | Low Code Data Extraction and Visualization

TRAINING 5: 9:00AM - 6:00PM

Some of the common topics on data extraction today include how to extract from exotic sources like websites and how to use REST services. Once the data is extracted, what is the best way to visualize that data in order to pitch or sell an idea? To answer this question, it is best to arm yourself with a small collection of low code data extraction and visualization tools.

In this course, we offer the chance to learn more about advanced data extraction techniques and advanced visualization including dashboards. We introduce a useful low code tool for data extraction as well as various visualizations. We begin the course with the basics of creating simple dashboards, and conclude with interactive and refined user interfaces. In addition, we also demonstrate how to extract text data from various sources using Regex. 

This is an in-person instructor-led course run by our KNIME data scientists. 

What level of KNIME experience is needed for this course?
This course doesn’t provide a detailed introduction to KNIME Analytics Platform. You should be competent in using KNIME Analytics Platform. We expect that you have already built KNIME workflows and are familiar with concepts and techniques for data wrangling. We recommend taking this course after obtaining the L1 and L2 KNIME proficiency or equivalent.

 

L4-ML | Introduction to Machine Learning Algorithms

TRAINING 6: 9:00AM - 6:00PM

This course introduces you to the most commonly used machine learning algorithms used in data science applications. 

We will explore different supervised learning algorithms for classification and numerical problems such as decision trees, logistic regression, and ensemble models. In addition, we will introduce techniques such as neural networks and deep learning. We will also examine unsupervised learning techniques, such as recommendation engines, as well as various clustering methods including k-means, hierarchical clustering, and DBSCAN. 

We will also discuss various evaluation metrics for trained models, and showcase a number of classic data preparation techniques, such as normalization and dimensionality reduction.

This is an in-person instructor-led course designed for current and aspiring data scientists eager to learn more about machine learning algorithms used commonly in data science projects.

What level of KNIME experience is needed for this course?
You must be competent in using KNIME Analytics Platform. We strongly recommend you be at the level of an advanced KNIME user -  for example you’ve taken a basic and advanced KNIME Analytics Platform Course and/or use KNIME on a regular basis.


SUMMIT PASSES

650

+€123.50 MWSt./USt.

Onsite Training + Summit Pass

3 Day access to the Summit

April 17 - 19 I Attend in-person Monday, Tuesday & Wednesday.

 

Ticket Inclusions:

  • Full day training of your choice: Day 1
  • Keynote
  • Workshops
  • Presentations
  • Breakout sessions
  • Partner exhibition access
  • Welcome reception
  • In-person networking
  • Post event access to videos recordings
    (All meals included)

More information in agenda above 

350

 
+€66.50 MWSt./USt.
 
Onsite Summit
Pass                                                                                                     
2 Day access to the Summit

April 18 - 19 I Attend in-person Tuesday & Wednesday.

 

Ticket Inclusions:

  • Keynote
  • Workshops
  • Presentations
  • Breakout sessions
  • Partner exhibition access
  • Summit reception
  • In-person networking
  • Post event access to videos recordings
    (All meals included)

More information in agenda above 

FREE

   

Virtual Summit Pass               

2 Day access to the Summit online

April 18 - 19 I Attend via streaming link Tuesday & Wednesday.

 

Ticket Inclusions:

  • Keynote
  • Workshops
  • Presentations
  • Breakout sessions
  • Post event access to videos recordings

More information in agenda above 

 

 

 


YOU MAY NEED TO KNOW

Frequently Asked Questions

Why should I consider to join onsite?

Joining the KNIME Summit is a great way to meet your peers, stay up to date on the latest software news and learn about inspiring KNIME stories. Take an instructor-led-training, get all your questions answered by the workflow doctor, and exchange ideas with the KNIME team and community.

Will the sessions be recorded?

Yes, we will be recording all sessions. Recordings and materials will be sent to all registrants (virtual and onsite) a few days after the Summit. Please register to get access. 

Can I purchase multiple tickets?

There is a limit of 10 tickets per registrant. If you would like to register a larger group for KNIME Spring Summit, please email events@knime.com.

In which language will the event be held?

The entire KNIME Spring Summit will be held in English.

Where will the event take place?

The event will take place at the Mercure Hotel MOA Berlin - you can book a hotel room there on our special rate.