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Game of Nodes

“Hark! I summon thee to a contest of nodes. Art thou endowed with the courage for the encounter?”
Game of Nodes - Main



Join the KNIME world workflow tournament, tackle data analytics challenges & conquer the Golden Node

Registration closes January 5, 2025

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Hosting partner

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GON tournament - winners
 
Details & Rules

 

Welcome to KNIME Game of Nodes, the world's data science and workflow tournament!

We strongly believe that competitions and gaming serve as dynamic arenas where skill, strategy, and passion converge, creating an exciting tapestry of ingenuity, learning opportunities and triumphs.

With this event, we strive to bring together new and expert users in the KNIME community, foster learning and collaborative efforts, and provide teams with the opportunity to showcase their excellence in the creation of groundbreaking solutions with KNIME Analytics Platform.

 

What is Game of Nodes?

Game of Nodes is KNIME's data science world tournament where the KNIME community engages in battles of nodes and workflows to tackle data analytics challenges. In the customary atmosphere of encouragement, learning and open-mindedness of the KNIME community, the idea is to replicate a sort of soccer world cup but placing data, nodes and visual workflows at the center.

The tournament follows a single elimination format where teams tackle diverse and engaging analytics endeavors in each round. From training ML models to reporting and web scraping, only one team will conquer the KNIME Golden Node!

There are many reasons for participating in Game of Nodes. It’s a great chance to discover new facets and capabilities of KNIME Analytics Platform, challenge your current knowledge, acquire new skills, share brilliant solutions, and connect with other members of the KNIME community.

But most importantly, because we think it could be fun!

Tournament Structure

The Game of Nodes tournament is configured as a single elimination tournament with an initial round of qualifications. 

At the end of the qualifications, only 16 teams will remain in the competition. In subsequent rounds (16, 8, 4 and finale), simultaneous matches will be played between two teams at the time.

In this tournament format, a team is immediately eliminated from the tournament after losing a single match or submitting an invalid solution. Defeated teams may play no further part after losing. Conversely, the winning teams move to the next rounds until only one winner is left.

Participation Requirements

Anyone in the KNIME community is welcome to participate – from newbies to expert users, data analysts, BI experts, data scientists, and more!

Participants are required to form teams (2-3 KNIME users max) and register their intention to participate. Teams that participated in the previous edition of Game of Nodes are welcome to register again. If you’re looking for teammates, consider asking on the KNIME Forum.

A maximum of 50 teams are allowed in the tournament. If the maximum team capacity is reached before the designated end of the registration period, registration will close ahead of schedule. Conversely, should the maximum capacity not be reached by the specified registration deadline, the tournament will proceed with the teams that have completed the registration process.

*Priority pass* In recognition of their long-standing commitment, the top Just KNIME It! KNinjas of the 2024 edition who wish to participate in the Game of Nodes tournament are granted direct access to the round of 16. In the interest of fair play for all teams in the tournament, each KNinja will have to form their own team. Participation of 2 or more KNinjas in the same team is not permitted. On par with any other team, KNinjas are required to register their teams.

Calendar

The Game of Nodes tournament will be run fully remotely, allowing every team to join and engage from home.

The only exception is the finale, which will be hosted as a hybrid event (on-site/online) at the KNIME Spring Summit 2025 in Berlin, Germany.

The tournament will adhere to the following calendar:

 

WHEN

WHERE

Registration

Dec 2, 2024 - Jan 5, 2025

(closes at 11:30 PM CET)

Online

Qualifications

Jan 6, 2025 - Jan 12, 2025

(submission by 11:59 PM CET)

Online

Round of 16

Jan 27, 2025 - Feb 2, 2025

(submission by 11:59 PM CET)

Online

Round of 8

Feb 10, 2025 - Feb 16, 2025

(submission by 11:59 PM CET)

Online

Round of 4

Feb 24, 2025 - Mar 2, 2025

(submission by 11:59 PM CET)

Online

Finale

TBD

Hybrid event at

KNIME Spring Summit 2025, Berlin, Germany 

 

Challenge Topics and Dissemination

Challenges will encompass a variety of topics within data analytics, spanning from training predictive models and web scraping to engineering AI-driven solutions, creating geospatial maps, crafting compelling reports, and much more.

Challenges will be disseminated through dedicated teams’ private spaces on the KNIME Hub. In the round of qualifications, the same challenge will be assigned to all registered teams.

In subsequent rounds, different challenges will be assigned randomly to competing teams. Teams in the same match will receive the same challenge.

Submission Requirements

KNIME Analytics Platform version 5.4 is the tool of choice of the tournament. Solutions submitted with tools other than KNIME Analytics Platform version 5.4 will not be accepted.

Solutions must be submitted in the team’s private space on the KNIME Hub. Only solutions submitted in a timely fashion will be assessed. Check the calendar of the tournament for the exact submission deadlines (we will verify the date and time of the latest workflow edits). Late submissions to the Game of Nodes tournament will not be accepted.

English is the official language of the tournament. Only workflow documentation written in English will be assessed.

No official KNIME solutions will be provided or shared publicly. 

 

Assessment Committee

*New*

In this season of Game of Nodes, the KNIME community is given the chance to evaluate the submitted solutions and decide what teams will advance to the next round by casting their vote on the KNIME Forum.

The KNIME community will vote for teams in the:

  • Round of 16
  • Round of 8
  • Round of 4

To be able to vote, a free account on the KNIME Forum is required. Members of the competing teams are not allowed to cast a vote for their own team. However, they are allowed to vote for other teams.


The KNIME Team, composed of expert data scientists, engineers, and analysts, will evaluate the submitted solutions and collectively decide which teams advance through the following rounds:

  • Qualifications
  • Finale

To ensure fair play, the KNIME Team reserves the right to intervene at any time to cast the deciding vote in case of a tie, to address irregularities, distortions, or fraudulent activities, including but not limited to voting during the Round of 16, 8, and 4. The KNIME Team will also step in to finalize the evaluation, if there are not enough evaluations from the KNIME community.

Upholding fairness and excellence remains the KNIME Team’s top priority.

Accessibility of Submitted Solutions

*New*

To allow the KNIME community to access and evaluate the submitted solutions, the KNIME Team will create a public copy of each team's space after the submission deadline for each round has passed.

For the competing teams in the tournament, this means that your submitted solutions will be publicly visible for assessment. Teams are encouraged to submit polished and neat solutions to facilitate the task of the evaluators.

Assessment Criteria

*New*

The KNIME community and the KNIME Team will assess solutions against the 5 following criteria:

  • Adherence & Correctness: Adherence to the task described in the challenge and correctness of the implementation.
  • Portability & Documentation: The seamless execution of the analytical solution across different operating systems without significant modifications or disruptions. The clarity, consistency and thoroughness of the supporting information related to the solution.  
  • Automation: Meaningful strategies to reduce the need for manual labor in data operations.
  • Results: The insightfulness and compelling quality of the outcomes. For challenges in predictive analytics, model performance will also be assessed.
  • Creativity & Customization: The originality, interactivity and aesthetic appeal in the presentation of outcomes.

After completing the assessment, the KNIME community may proceed with voting on the KNIME Forum.

For the KNIME community, the criteria listed above serve as a compass for voting. The KNIME community is not required to assign scores. However, community members are encouraged to explain their choices by leaving comments in the designated section of the KNIME Forum, if they wish.


During the assessment of Qualifications, the KNIME Team will assign a score of 0-5 for each criteria listed above. Points are: 5 = Excellent, 4 = Very Well, 3 = Well, 2 = Fairly Well, 1 = Qualifies and 0 = Does Not Qualify.

Qualification scores will be published on the KNIME Forum.


Teams are strongly encouraged to submit high-quality work throughout the tournament in order to improve their chances of advancing to the subsequent rounds.

Prizes

Teams that successfully submit their solutions will receive a celebratory digital badge. Additionally, the finalist and winner teams will receive KNIME goodie bags, a custom t-shirt of the tournament, and will be invited as guests on the KNIME webcast, My Data Guest.

The first-ranked team will be awarded with the KNIME Golden Node, the official trophy of the tournament, in recognition of the team’s outstanding performance.

 
Speakers

 

Each DataHop features a lineup of KNIME users presenting their use cases, challenges, and/or initiatives. Speakers have a range of domain expertise and come from a variety of professions. Internal KNIME experts will also be at these events, presenting their own use cases, sharing industry insights, running workshops, and more.
 
Below are some speakers from recent DataHops. You can also check out the on-demand pages to view presentations from the events in Munich and New York.
Michael Berthold

Michael Berthold

KNIME
CEO & Co-Founder
Margaux Borgmann

Margaux Borgmann

AUDI
Data Analyst
Simon Herzog

Simon Herzog

AUDI
Data Analyst
Maxim Rube

Maxim Rube

Siemens Healthineers
Service Owner / Product Owner
Sandra Baumann

Sandra Baumann

Siemens Healthineers
Data Scientist
Philipp Kowalski

Philipp Kowalski

SIEMENS
Digital Enablement Agent
Ulrich Wagner

Ulrich Wagner

WIMEX
CEO
Michael thaltegos - ring

Dr. Michael Wolff

thaltegos
Partner thaltegos
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Michael Berthold

Michael Berthold

KNIME
Michael Berthold is co-founder and CEO of KNIME, the open analytics platform used by thousands of data experts around the world. Michael has co-authored two successful data analysis text books and is a frequent speaker at both academic and industrial conferences. If time permits he still builds workflows.
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Margaux Borgmann

Margaux Borgmann

AUDI
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Simon Herzog

Simon Herzog

AUDI

Current Position: Data Analyst in Production & Logistics at Audi Neckarsulm


Education: Bachelor Business Informatics DHBW Mosbach, Master Big Data & Business Analytics FOM Stuttgart.


Experience: Dual Studies at Audi Neckarsulm, Audi Global Intern in Beijing, Supply Chain Manager during Covid and semiconductor-crisis, project management, Data Science, applied AI and Machine Learning for supply chain use-cases”

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Maxim Rube

Maxim Rube

Siemens Healthineers

Maxim Rube: Driving Data-Driven Automation and Analytics at Siemens Healthineers AG with KNIME

Leading the Global Automation & Analytics Service with KNIME at Siemens Healthineers AG, I'm passionate about revolutionizing how businesses harness data for transformative growth. With a track record of success in consulting diverse business stakeholders across Siemens, I bring a wealth of expertise to the table.

In my role, I spearhead initiatives aimed at democratizing data-driven Automations and Analytics, empowering businesses to thrive in the digital age. From consultation to execution, my team and I are committed to delivering impactful solutions tailored to specific business needs.

With multiple years of experience under my belt, I understand the intricate dynamics of navigating data projects, ensuring seamless project management and delivery every step of the way.

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Sandra Baumann

Sandra Baumann

Siemens Healthineers

Sandra Baumann: Excited to embark on my journey as a Trainee in Data Science!

As a part of the global KNIME initiative at Siemens Healthineers AG, I'm leveraging my passion for analytics and problem-solving to drive insights and innovations through data-driven projects in different business areas.

Equipped with a solid foundation in marketing, data analysis and machine learning, as well as experience in handling various datasets - from medical images to business data - I'm working hands-on on our internal customer’s challenges to uncover actionable insights that drive business growth and transformation.

As a Trainee in Data Science, I'm committed to continuous learning and growth, staying abreast of the latest trends and technologies in the field to deliver cutting-edge solutions that make a difference for healthcare delivery

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Philipp Kowalski

Philipp Kowalski

SIEMENS

Philipp is a Digital Enablement Agent at Siemens, optimizing procurement through digitization, using no-code/low-code tools. With over 20 years of experience in this field, he is also an experienced trainer. He runs ProcurementZen, a blog and YouTube channel about best practices in digitization for finance professionals

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Ulrich Wagner

Ulrich Wagner

WIMEX

Studied economics in Regensburg, Germany. Starts the career after the reunification of East-Germany with a farm business near Leipzig. Build up the WIMEX group together with his father and a CEO college. Shareholder and CEO of the WIMEX group. The group works in the field of poultry breeding, vegetable farming and trading, arable farming, feed production, renewable Energy with biogas, PV and wind, IT-Solutions and Start-ups in Smart farming and Food-tech

Honorary work:

Chairman of the DLG Committee on Farm Management

Member of DLG-Main Committee Agriculture

Workgroup member of the Committee Banks and Insurances

Senator in the Senate of economy

Chairman of the Board Banat Agro Romania

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Michael thaltegos - ring

Dr. Michael Wolff

thaltegos
Michael is co-founder and partner of thaltegos, a Munich-based management consultancy focusing on Data Analytics & AI. thaltegos combines strategic expertise and analytical methodology to create integrated solutions and innovative business models along the data value chain.
 
thaltegos is a KNIME certified business partner and co-host of the KNIME DataHop. 
 
Workshops

 

Each DataHop will have the following workshops as part of the agenda.

 

Workshop 1: Discover KNIME Analytics Platform 5.2: An introductory workshop

What to expect:

  • Explore KNIME: Familiarize yourself with the interface and navigation of the KNIME Analytics Platform.
  • Data Literacy Basics: Extract and share significant insights from data.
  • First KNIME Workflow: Build your own workflow hands-on, with data access, cleaning, transformation, and visualization.

What to bring:

  • Laptop with KNIME AP 5.2 installed

Workshop 2: Automating & productionizing your first workflow with KNIME Business Hub

What to expect:

  • Explore KNIME Business Hub: Getting to know the concepts and features of KNIME Business Hub.
  • Deployments: Put your first workflow into production.
  • Collaboration: Share your work with colleagues.

What to bring:

  • Laptop with KNIME AP 5.2 installed
 
 Agenda

 

DataHop agendas are designed to make it easy for attendees to join for the day, and all have a similar structure as follows. Detailed, location-specific agendas can be found on the actual registration page.
 
9:30 - 10:15 AM: Check-in and morning tea
 
10:30 - 12:00 PM: Workshops
 
12:00 - 1:15 PM: Lunch, networking, workflow doctor
 
1:15 - 2:45 PM: First round of presentations
 
2:45 - 3:00 PM: Afternoon tea break
 
3:00 - 4:50 PM: Second round of presentations, panel session, closing remarks
 
4:50 - 6:00 PM: Networking reception (and workflow doctor)
 

 

 

 

 

Frequently Asked Questions

 

Here’s everything you need to know.
What level of KNIME proficiency is needed for this tournament?

There are no formal KNIME prerequisites to participate in the tournament. However, it is advisable to have prior experience in building workflows and components with KNIME Analytics Platform. Proficiency equivalent to our advanced KNIME Analytics Platform courses (L2-level) is recommended.

What resources will help me prepare for the tournament?

Browse our extensive educational material and get your KNIME knowledge up-to-speed: E-LearningKNIME BooksCheat SheetsJust KNIME It! or KNIMETV.

Will we be able to get support?

In case you hit a roadblock or find yourself in a tight spot, the KNIME Forum is the right place to seek help. Don’t be shy and engage with the community to ask for support!

How can we contact the tournament master?

For questions or doubts concerning the tournament administration, challenge dissemination, submissions or other organizational matters, please contact: roberto.cadili@knime.com.