Go Back Up

network-1

KNIME Spring

Summit 2025

March 18-20 | Berlin, Germany | Onsite & Online

3 Days of Data Science in Action

Join your peers for KNIME Spring Summit 2025 in Berlin, Germany or online. Hear from business and data experts how they are building and scaling the adoption of data analytics, genAI, and machine learning in multiple industries. Take an instructor-led onsite training and get first-hand news of the latest updates in KNIME software.

Meet the speakers

Hokuto Fujii, Yamaha Motor

Hokuto Fujii

Yamaha Motor
Data Science Strategy Lead
Marcel Meyer

Marcel Meyer

Siemens Healthineers
Head of Data Governance and Management
Michael Berthold

Michael Berthold

KNIME
CEO & Co-Founder
Michael_Richter-2

Michael Richter

Hennessy Automobile Companies
Director of Business Intelligence
Katie - ring-2

Kate Bartkiewicz

digData
Marketing Data Scientist & Owner
Prof. Shanaka-ring (1)

Prof. Dayanjan Shanaka Wijesinghe

VCU, School of Pharmacy
Associate Professor
Fabiola_Martina-ring (1)

Fabiola Martina

Siemens Healthineers
Operational Excellence Manager
Behrooz.Davazdahemami-ring (1)

Prof. Behrooz Davazdahemami

University of Wisconsin - Whitewater
Assistant Professor
Delen - ring

Prof. Dursun Delen

Oklahoma State University
Regents Professor
Chenny-ring

Chenny Solaiyappan

Cognizant
Senior Director, Product Management, Government & Quality Solutions
Lee Fader

Lee Fader

Congruence Therapeutics
Vice President, Chemistry
Jerome Treboux

Jerome Treboux

Forest Grove
Senior Consultant
Dakshitha Narendra Kiranakankanamage

Dakshitha Narendra Kiranakankanamage

ElectraNet
Asset Information Analytics Engineer
Selman Bayoglu

Selman Bayoglu

Kuveyt Türk Participation Bank
Head of Treasury Marketing
Ricardo - ring

Ricardo Auerbach

BENTELER
Process Engineer - Hot Rolling Mill
Thompson - ring

John Thompson

Cargill

Self-Service Analytics Product Owner

Iris - ring

Iris Adä

KNIME

VP Data & Analytics

Laura Rutledge-2

Laura Rutledge

AMD

Market Insight Manager

Jennifer - ring

Jennifer Ostyn

KNIME

Senior VP Revenue

Rosaria - ring-1

Rosaria Silipo

KNIME

Head of Data Science Evangelism

LRT - ring

Louis Raoul t’Serstevens

Nufarm

PMO Lead EuMEA 

Jamie Crossman Smith - ring

Jamie Crossman-Smith

Grant Thornton

Managing Director

Osuna - ring

Edgar Osuna

iuvity

Chief Data & Analytics Officer 

x
Hokuto Fujii, Yamaha Motor

Hokuto Fujii

Yamaha Motor
Hokuto Fujii is Yamaha Motor's AI hero and works as a data scientist himself and as a project leader. Hee built a training program with the aim of helping employees use data as a matter of course, and is promoting the use of AI in actual work that Yamaha is promoting.
x
Marcel Meyer

Marcel Meyer

Siemens Healthineers
Marcel Meyer is leading the Data Governance and Management function for CRM Excellence at Siemens Healthineers. With over 20 years of professional experience in various functions such as Supply Chain, Finance, CRM, and Project Management on various levels across a multinational company, he and his team innovate the way data is made available, usable, and accessible in a business-friendly way for sales teams and sales leaders within Siemens Healthineers. Marcel is living and working in the greater area of New York, USA.
x
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.
x
Michael_Richter-2

Michael Richter

Hennessy Automobile Companies

Michael Richter, a seasoned professional in Business Intelligence, passionately leverages data-
driven insights to excel in driving business excellence. With 20+ years of experience in the automotive and financial sectors, Michael consistently transforms raw data into actionable strategies, completing the last mile. As an industry leader, he has led successful initiatives, including implementing advanced BI solutions with KNIME and its community.

x
Katie - ring-2

Kate Bartkiewicz

digData
Kate is a seasoned data-scientist who has been working with Fortune 500s and high-growth startups for over 15 years. She has extensive experience building automated analytics solutions specifically designed to surface marketing inefficiencies, identify key customer segments, and lead experimentation. Her marketing attribution models have been used to optimize billions of marketing dollars globally.

Kate is a KNIME fanatic and uses it for everything – including to power the analytics SaaS she founded and led to MVP, where it had more than 250 users and raised more than $1M in investment.
x
Prof. Shanaka-ring (1)

Prof. Dayanjan Shanaka Wijesinghe

VCU, School of Pharmacy
Shanaka, a tenured Associate Professor at Virginia Commonwealth University School of Pharmacy, excels in metabolomics, lipidomics, and digital health. His Ph.D. in Biochemistry and Molecular Biology from VCU underpins his expertise. Dr. Wijesinghe pioneers AI and XR integration in healthcare and education. He's lauded for innovative teaching, notably with "Pharmacists for Digital Health," fostering self-learning and digital healthcare solutions. Instrumental in founding the Digital Health Innovation Lab, he empowers students to create digital health applications. His AI and XR initiatives reshape healthcare and education, bridging technology and practice, and influencing healthcare delivery and education significantly.
x
Fabiola_Martina-ring (1)

Fabiola Martina

Siemens Healthineers
As an experienced leader at Siemens Healthineers, Fabiola excels in navigating the complex world of financial process automation. She plays a pivotal role in the Customer Finance department, enhancing operational efficiency through strategic process automation. Her unique understanding of automation tools and financial processes drives productivity within the organization, a success she attributes to her dedicated team. Off-duty, Fabiola enjoys Maryland's vibrant lifestyle, cooking, baking, and spending quality time with her son, Carlo.
x
Behrooz.Davazdahemami-ring (1)

Prof. Behrooz Davazdahemami

University of Wisconsin - Whitewater
ِDr. Behrooz Davazdahemami is an Assistant Professor of Information Technology and Supply Chain Management (IT&SCM) at the University of Wisconsin-Whitewater. He received his M.S. in Industrial Engineering from University of Tehran and his Ph.D. in Management Science and Information Systems from Oklahoma State University. His research interests include health analytics, business analytics, explainable AI, IT privacy, and technology addiction. He is a member of the Association for Information Systems, The Institute for Operations Research and the Management Sciences (INFORMS), and the Decision Sciences Institute. He has published in reputable journals such as Decision Support Systems, Journal of Business Research, Information & Management, and Annals of Operations Research, as well as IS conference proceedings such as the Hawaii International Conference on System Sciences (HICSS) and the International Conference on Information Systems (ICIS).
x
Delen - ring

Prof. Dursun Delen

Oklahoma State University

Dr. Dursun Delen is the holder of Spears Endowed Chair in Business Administration, Patterson Endowed Chair in Business
Analytics, Director of Research for the Center for Health Systems Innovation, and Regents Professor of Management
Science and Information Systems in the Spears School of Business at Oklahoma State University. Prior to his academic
tenure at OSU, he worked for a privately-owned research and consultancy company as a research scientist for five years,
during which he led numerous advanced analytics research projects funded by federal agencies that included Department
of Defense, NASA, NSF, and NIST. Dr. Delen has authored more than 200 peer reviewed articles and 12 books in the broad area of Business Intelligence, Business Analytics, and Data Science.


He is often invited to companies for consultancy engagements and national and international conferences for keynote
addresses. He regularly chairs tracks and minitracks at various business analytics and information systems conferences.
Currently, he serves as Editor-in-Chief, Area Editor, and Associate Editor in more than 10 academic journals. He has
been the recipient of several research and teaching awards including the prestigious eminent faculty of OSU, Fulbright
scholar, regents’ distinguished teacher and researcher, president’s outstanding researcher, and Big Data mentor.

x
Chenny-ring

Chenny Solaiyappan

Cognizant
ِChenny Solaiyappan is the Senior Director of Product Management for Cognizant Trizetto’s Government and Quality Solutions, serving as a founding member of the ClaimSphere suite of products. This suite encompasses U.S healthcare quality measurement solutions, including HEDIS®, Stars, and 300+ quality of care metrics, impacting 1 in 10 lives in the country.

As an accomplished Intrapreneur and Lean Startup Practitioner with a Master's in Business Administration in healthcare, Chenny plays a crucial role in shaping the overall product strategy. Additionally, he serves as the HL7 DaVinci Business Co-chair, advocating for health data interoperability.

Chenny's track record includes providing consulting services to over 30 health plans, supporting 30 million member lives nationwide. He has consistently elevated Quality and Star ratings in Medicaid, Medicare, Federal Employees Health Benefits Programs (FEHB), and Commercial health plan sectors.

Recognized for his outstanding leadership and innovative contributions, Chenny has received prestigious awards, including the 2023 Top 20 Global Product Manager Award by Products That Count and the 2021 and 2019 Product of the Year awards by Cognizant Trizetto.

x
Lee Fader

Lee Fader

Congruence Therapeutics
Lee Fader has 18 years of experience in the pharmaceutical industry and now holds the role of Vice president of Chemistry at Congruence Therapeutics. Here, he leads small molecule drug discovery efforts from the Intersection of medicinal chemistry, computational chemistry, and artificial intelligence to discover new medicines for patients suffering from rare diseases.
x
Jerome Treboux

Jerome Treboux

Forest Grove
Jerome is an experienced data scientist with over 10 years of expertise working on data science projects in various industries, including energy, medicine, tourism & agriculture. Holding a Master's degree in Business Administration and a Ph.D. in Computer Science specializing in machine learning and image analysis, he offers a unique combination of technical prowess and business insight. Jerome shared his expertise as a lecturer at the University of Applied Sciences and Arts, Western Switzerland, and is currently employed at Forest Grove in Australia. Proficient in the KNIME platform since 2011, Jerome has spearheaded numerous projects, ranging from ETL to advanced analytics. He is a highly sought-after in the data science world, driving transformative solutions across industries.
x
Dakshitha Narendra Kiranakankanamage

Dakshitha Narendra Kiranakankanamage

ElectraNet
Dakshitha Narendra Kiranakankanamage is an Asset Analytics Engineer at ElectraNet, the electricity transmission network service provider of the state of South Australia. Dakshitha holds a Bachelor of Computer Systems Engineering (Hons) from the University of Adelaide.  As member of ElectraNet’s Asset Information team, he works on reporting, workflow automation and data governance whilst engaging with various Principals from multiple disciplines. His interests include business analytics, process improvement, change management and empowering people and community through technology - an ally of continuous improvement and lifelong learning.
x
Selman Bayoglu

Selman Bayoglu

Kuveyt Türk Participation Bank
He has been driving results at Kuveyt Turk Participation Bank’s Treasury Group since 2011, bringing a deep passion for generating value for all stakeholders. His expertise spans a broad spectrum, from mastering Treasury Marketing Management and navigating the complexities of Big Data & Business Analytics to unlocking potential with Data Science. He is renowned for elevating strategies through Advanced Marketing Analytics, leading the digital and real-time marketing initiatives, and specializing in Capital Markets, FX, and Precious Metals.Outside his professional realm, he serves on the Harvard Business Review Advisory Council,where he enjoys sharing forward-thinking insights on leadership and management's evolving landscape. Beyond his contributions to the leadership and management fields, his personal life is equally vibrant. He expresses his creativity and maintains his productivity through various artistic and physical activities. Whether it's playing the reed flute and piano, craXing poetry, riding a waveboard, skateboarding, swimming, roller-skating, or ice-skating, he embodies a multifaceted approach to life that blends professional excellence with personal passions and hobbies.
x
Ricardo - ring

Ricardo Auerbach

BENTELER

Ricardo is a Process Engineer in the Hot Rolling Mill at Benteler Steel/Tube. He graduated from Louisiana Tech University with his Industrial Engineering degree and Six Sigma Black Belt Certification. Leveraging KNIME and his statistical analysis capabilities, Ricardo works at the data-driven, state-of-the-art seamless pipe mill every day to drive performance, reliability, and quality.

x
Thompson - ring

John Thompson

Cargill

John is the Self-Service Analytics (SSA) Owner at Cargill where he leads the global data community by promoting the growth and development of low-code analytics capabilities. In this role, John has grown the SSA community by over 35% and introduced KNIME as Cargill’s newest self-service analytics platform. Prior to leading the SSA capability, John was the analytics coach for North America and a senior analyst in Cargill’s transportation logistics function.

x
Iris - ring

Iris Adä

KNIME

For more than 15 years Iris has been spending her days with KNIME and her evenings in Heidelberg. On her journey to KNIME she studied mathematics and computer science at the University of Konstanz and developed her passion for data science. Iris always enjoyed working on projects such as KNIME Model Factory or the Workflow Coach. While going through various customer facing roles at KNIME, she always kept her passion for data. And so she is now officially our VP Data & Analytics and takes care about all things data at KNIME.

x
Laura Rutledge-2

Laura Rutledge

AMD

Laura Rutledge, Market Insight Manager at AMD, will be sharing how her team uses KNIME to analyze large amounts of total addressable market (TAM) data and share marketing insights to the broader organization. Her session will be on Tuesday afternoon, "Using KNIME to Produce Total Market Data for Client and Datacenter."

x
Jennifer - ring

Jennifer Ostyn

KNIME

Jennifer Ostyn currently serves as the Senior Vice President of Customer Care .at KNIME. Prior to joining KNIME a year and a half ago, Jennifer operated in a similar role as Senior Vice President of Sales for Equifax Commercial. With over 20 years’ experience in the data, analytics and software space, she is considered an accomplished sales leader with expertise in developing strategic teams and coaching individuals towards their objectives while delivering on results. Adept at vision creation and strategic planning, Jennifer also thrives in high pressure situations and making decisive decisions. Jennifer engages her communication, collaboration, and partnership facilitation skillset across her corporate responsibilities as well as her passion for philanthropic work in numerous organizations. Jennifer has a passion for travel, physical fitness and relishes the opportunity to have a tennis racket in her hand whenever possible!

x
Rosaria - ring-1

Rosaria Silipo

KNIME

Rosaria Silipo, PhD, now head of data science evangelism at KNIME, has spent 25+ years in applied AI, predictive analytics and machine learning at Siemens, Viseca, Nuance Communications, and private consulting. Sharing her practical experience in a broad range of industries and deployments, including IoT, customer intelligence, financial services, social media, and cybersecurity, Rosaria has authored 50+ technical publications, including her recent books: "Guide to Intelligent Data Science" (Springer) and "Codeless Deep Learning with KNIME"

x
LRT - ring

Louis Raoul t’Serstevens

Nufarm

With over 25 years' experience, Raoul has focused primarily on the reorganisation of commercial companies, subsidiaries of family groups, as an interim manager. His international assignments have taken him to Germany, Italy, the USA, the Netherlands, and beyond. In the last decade, his focus has shifted to project management and process improvement, leading initiatives that harness the power of KNIME to drive efficiency improvements.

x
Jamie Crossman Smith - ring

Jamie Crossman-Smith

Grant Thornton

Visiting Fellow at Manchester Metropolitan University and Managing Director of Data, Digital & Technology at Grant Thornton UK, Jamie leads the Digital Centre of Excellence for one of the world's top professional services firms. With over 15 years experience across transformation, innovation, analytics, audit, risk and RegTech, Jamie helps articulate and deliver client-facing digital strategies, offerings, and operating models. He is passionate about making a difference through innovative thinking and building effective teams.

With a strong technical background, Jamie has deep expertise in sanctions compliance, financial crime, data quality, lineages, and model testing. A former schoolteacher and lifelong learner, he serves on the MKU Data Science advisory board and co-authored the GT/BPP Data Apprenticeship program. Jamie is dedicated to strengthening academia-industry collaboration and harnessing education as a force for good.

x
Osuna - ring

Edgar Osuna

iuvity

Edgar is the Chief Data and Analytics Officer at iuvity, a company that has
been serving financial institutions for more than 20 years in the Digital
Banking space. Edgar has more than 25 years of experience in the application of Analytics in the financial industry across Latam, Europe and the US. He holds a BS in Computer Engineering and a PhD in Operations Research from MIT.

He currently serves as part of the Board of Directors and as Co-Chair of the Innovation Committee of FIBA. Edgar is also a recipient of the IEEE Longuet-Higgins Prize for published contribution in the field of
Machine Learning.

agenda-all.ai (15)

Why attend

Level up your skills: Whether you’re new to data science or a data expert, we’ve got a course for you.

Explore latest tech updates: Get sneak peeks into advances in KNIME software.

Network: Connect with industry leaders and new peers in social breakouts, at the partner expo, and the summit evening receptions.

Plan Your Arrival

Location & Accomodation

Welcome to the location of the KNIME Spring Summit 2025:

BOLLE Festsäle Alt-Moabit 98, 10559 Berlin  Map

 

Stay onsite at the Summit hotel to travel less and network more!

ABION Spreebogen Waterside Hotel   Map

BOOK HERE

Use the code KNIMESUMMIT25 for our discounted KNIME rates.

  • Limited rooms available, please book early. 
    (offer ends Feb 24, 2025, unless sold out earlier)
  • Breakfast is included in your summit pass
  • Hotel is in the same complex as the Summit.

APPLY NOW

Call for Speakers

Does your company have an exciting use case showcasing how KNIME has increased productivity, allowing you to gain additional insights, or enabled non-technical users the ability to work with data?

Click the link below to learn how to apply to be considered as a speaker at KNIME Spring Summit in Berlin, Germany, March 18-20, 2025 - where industry leaders, data experts and beginners are eager to hear your story.

Previous companies who attended 2023/2024

Agenda Highlights

(Full agenda & speakers coming soon)

 

            Tuesday 18, March                                                             Wednesday 19, March                                                             Thursday 20, March

 

08:30 - 09:45   Check-in & Breakfast                                   08:00 - 09:15    Check-in & Breakfast                                        08:30 - 09:15    Breakfast (+GoN Finale)

10:00 - 17:30    Onsite all day Trainings                                    09:30 - 11:15      Opening Session & Talks                                  09:30 - 10:30    Talks (KNIME news)

11:15 - 11:45       Morning Tea                                                  11:15 - 11:45       Morning Tea                                                       10:30 - 11:00     Morning Tea

13:00 - 14:00     Lunch                                                            11:45 - 12:45      Talks                                                                   11:00 - 12:30     Talks

15:30 - 16:00     Afternoon Tea                                               12:45 - 14:00     Lunch                                                                 12:30 - 13:45     Lunch

17:30 - 18:00     Yellow Carpet                                                14:00 - 15:45     Talks & Panel Session                                       13:45 - 15:00    Talks & Panel Session

18:00 - 18:30     Partner Awards 2024                                   15:45 - 16:15      Afternoon Tea                                                    15:00 - 16:00    Farewell Drinks

18:30 - 22:00    Welcome Reception                                      16:15 - 17:45       Talks                                                                   (GoN = KNIME Game of Nodes)

                                                                                                         18:30 - 23:00     Offsite Reception

 

(Agenda is subject to change)

 

Onsite Only

Training Sessions

L1-DW | Analytics Platform for Data Wranglers: Basics

TRAINING 1: 10:00AM - 5:30PM

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: 10:00AM - 5:30PM

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 10:00AM - 5:30PM

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

TRAINING 4: 10:00AM - 5:30PM

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: 10:00AM - 5:30PM

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: 10:00AM - 5:30PM

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.

With our 'Onsite Training & Summit Pass' you can attend 1 of 4 training sessions on Day 1 of the Summit.
You must select the course of your choice during the online registration.

 

TRAINING 1:   10:00AM - 5:30PM

This course is designed for those who are just starting their data analytics journey with KNIME Analytics Platform Version 5. It starts with a detailed introduction of KNIME Analytics Platform - from downloading it through to navigating the user interface. 

The course focuses on processing data from different sources and presenting insights in various forms. The course dives into data cleaning and aggregation, using methods such as advanced filtering, concatenating, joining, pivoting, and grouping. In addition, the course also covers topics such as data visualization, dashboards, and reporting to showcase findings from your data. With all of this, you will be able to get your data into the right shape to generate insights quickly.

Session 1: Introduction to KNIME Analytics Platform & Data Access 
Session 2: Data Cleaning, Data Transformation, and Workflow Documentation
Session 3: Data Merging, Data Aggregation, and Data Export
Session 4: Data Visualization and Reporting
Session 5: Review of the Last Exercises and Q&A

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 processing done with KNIME Analytics Platform.

 

TRAINING 2:   10:00AM - 5:30PM

This course builds on the [L1-AP] Data Literacy with KNIME Analytics Platform - Basics by introducing advanced concepts for building and automating workflows with KNIME Analytics Platform Version 5. 

This course covers topics for controlling node settings and automating workflow execution. You will learn concepts such as flow variables, loops, switches, and how to catch errors. In addition, you will learn how to handle date and time data, how to create advanced dashboards, and how to process data within a database. 

Moreover, this course introduces additional tools for reporting. You will learn how to style and update Excel spreadsheets using the Continental Nodes. Moreover, you will learn how to generate reports using the KNIME Reporting extension.

Session 1: Flow Variables & Components    
Session 2: Workflow Control and Invocation
Session 3: Date&Time, Databases, REST Services, Python & R Integration
Session 4: Excel Styling, KNIME Reporting Extension
Session 5: Review of the Last Exercises and Q&A

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.

 

 

TRAINING 3:   10:00AM - 5:30PM

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.

Session 1: What happens after the prototype is ready for deployment?
Session 2: Introduction to KNIME Business Hub
Session 3: Data Apps
Session 4: Performance optimization, orchestration, error handling
Session 5: Optional follow-up Q&A (15-30min)

What level of KNIME experience is needed for this course?

You should already know how to build workflows and components using KNIME Analytics Platform. Knowledge and expertise equivalent to our advanced KNIME Analytics Platform courses (L2-level) are recommended.

 

 

TRAINING 4:   10:00AM - 5:30PM

In this course, we offer the chance to learn more about advanced data extraction techniques and advanced visualization including dashboards.

Some of the common topics we see today with data processing are how to extract from exotic sources like websites, or how to use REST services, and what JSON is. Then once the data is extracted what is the best way to visualize that data in order to pitch or sell an idea? To answer these questions 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. Each day we will gently introduce a useful low code tool for data extraction as well as various visualizations. Our first session introduces the basics of creating simple dashboards, but by the end of day 4 you will know how to make interactive and refined user interfaces.

Session 1: Data Collection via RESTful services with JSON and web scraping
Session 2: Data Visualization using our most recent and less common nodes
Session 3: Data Extraction via Regex for PDF and text-based projects
Session 4: Data Quality and Visualization Best Practices
Session 5: Wrap Up and Q&A

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.

 

Onsite and Online Sessions

What else to expect

As an onsite ticket holder, you have access to breakout sessions and our Partner Expo.
Meet face to face with other data experts, connect personally with the presenters, and enjoy in-depth learning.
Partner expo - small

PARTNER EXHIBITION

Onsite Only

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 & 3 of the Summit in the breaks area.

Women in Tech - small

BIRDS OF A FEATHER SESSIONS

Onsite Only

Visit one of 3 'Birds of a Feather' sessions during lunch breaks. Choose a topic that interests you, and join the conversation over lunch!

Birds of a Feather sessions will be held on both Day 2 & Day 3 of the Summit and hosted by a KNIME representative.

Topics are:

  • Certified Trainers
  • Building a Community at Customers 
  • Aspiring and Real Data Connect 

 

Online breakout

ONLINE BREAKOUTS

Virtual ticket holders

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

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

Sessions will be announced on this page, one month before the event. 

Summit Passes

 

{ Registration is open }

 

Early Bird promotion ends November 30, 2024, or until tickets sell out earlier.

Onsite Training + Summit Pass
 
 
€650 €550
(+VAT)
 
 
3 Day access to the Summit

March 18 - 20 I Attend in-person Tuesday, Wednesday & Thursday.

 

Ticket Inclusions:

  • Full day training ~ Day 1
  • Keynote
  • Presentations
  • Breakout sessions
  • Partner exhibition access
  • Welcome reception ~ Day 1
  • Offsite reception ~ Day 2
  • In-person networking
  • Post event access to recordings



Agenda will be released soon

Onsite Summit Pass

 
€350 €280
(+VAT)
 
 
2 Day access to the Summit

March 19 - 20 I Attend in-person Wednesday & Thursday.

 

Ticket Inclusions:

  • Keynote
  • Workshops
  • Presentations
  • Breakout sessions
  • Partner exhibition access
  • Welcome reception ~ Day 1
  • Offsite reception ~ Day 2
  • In-person networking
  • Post event access to recordings


Agenda will be released soon

Virtual Summit Pass
 
 
FREE 
 
 
 
2 Day access to the Summit Online

March 19 - 20 I Live online streaming Wednesday & Thursday.

 

Ticket Inclusions:

  • Keynote
  • Presentations
  • Virtual breakout sessions
  • Post event access to recordings

(does not include training sessions)

 

 

 

 

Agenda will be released soon


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 week after the Summit. Please register to get access. 

Can I purchase multiple tickets?

There is a limit of 5 tickets per registrant. Group discounts are available for larger numbers (excluding early bird tickets).

Please email us for assistance: 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 Bolle Festsäle with accommodation onsite at ABION Spreebogen Waterside Hotel in Berlin, Germany.

Are discounted hotel rates available at ABION hotel?

Yes! We have blocked a number of hotel rooms at the ABION Hotel (onsite at the Summit location). Discounted KNIME rates will be released at the start of September and a KNIME code will be available on this website. Limited rooms are available on nights Mon 17 - Wed 19 March.