KNIME Spring
Summit 2025
March 18-20 | Berlin, Germany | Onsite & Online
3 days of analytics and AI in action
Join analytics and AI leaders and practitioners at KNIME's flagship event in Berlin, Germany or online.
Hear how leaders drive ROI from data and AI initiatives in their enterprises, learn from data experts sharing their real-life workflows and applications, take a course, or network with like-minded data-driven peers. Hear from top companies in manufacturing, pharma, banking, and more in a fun and engaging setting
KNIME Spring
Summit 2025
March 18-20 | Berlin, Germany | Onsite & Online
3 days of analytics and AI in action
Join analytics and AI leaders and practitioners at KNIME's flagship event in Berlin, Germany or online.
Hear how leaders drive ROI from data and AI initiatives in their enterprises, learn from data experts sharing their real-life workflows and applications, take a course, or network with like-minded data-driven peers. Hear from top companies in manufacturing, pharma, banking, and more in a fun and engaging setting
Meet the speakers
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Hokuto Fujii
Yamaha Motor
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Marcel Meyer
Siemens Healthineers
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Michael Berthold
KNIME
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Michael Richter
Hennessy Automobile Companies
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Kate Bartkiewicz
digData
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Prof. Dayanjan Shanaka Wijesinghe
VCU, School of Pharmacy
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Fabiola Martina
Siemens Healthineers
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Prof. Behrooz Davazdahemami
University of Wisconsin - Whitewater
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Prof. Dursun Delen
Oklahoma State University
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Chenny Solaiyappan
Cognizant
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Lee Fader
Congruence Therapeutics
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Jerome Treboux
Forest Grove
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Dakshitha Narendra Kiranakankanamage
ElectraNet
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Selman Bayoglu
Kuveyt Türk Participation Bank
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Ricardo Auerbach
BENTELER
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John Thompson
Cargill
Self-Service Analytics Product Owner
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Iris Adä
KNIME
VP Data & Analytics
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Laura Rutledge
AMD
Market Insight Manager
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Jennifer Ostyn
KNIME
Senior VP Revenue
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Rosaria Silipo
KNIME
Head of Data Science Evangelism
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Louis Raoul t’Serstevens
Nufarm
PMO Lead EuMEA
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Jamie Crossman-Smith
Grant Thornton
Managing Director
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Edgar Osuna
iuvity
Chief Data & Analytics Officer
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Marcel Meyer
Siemens Healthineers
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Michael Berthold
KNIME
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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.
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Kate Bartkiewicz
digData
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.
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Prof. Dayanjan Shanaka Wijesinghe
VCU, School of Pharmacy
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Fabiola Martina
Siemens Healthineers
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Prof. Behrooz Davazdahemami
University of Wisconsin - Whitewater
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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.
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Chenny Solaiyappan
Cognizant
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.
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Lee Fader
Congruence Therapeutics
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Jerome Treboux
Forest Grove
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Dakshitha Narendra Kiranakankanamage
ElectraNet
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Selman Bayoglu
Kuveyt Türk Participation Bank
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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.
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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.
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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.
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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."
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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!
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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"
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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.
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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.
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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.
Previous companies who attended 2022/2023
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Why attend
Learn from the best in data and AI: Hear presentations from data and business leaders sharing how they create lasting impact with their data and AI initiatives.
Network: Connect with industry peers in social breakouts, at the partner expo, and the summit evening receptions.
Level up your skills: Whether you’re new to data science or a data expert, we’ve got a course for you.
Catch up on the latest tech updates: Get sneak peeks into advances in KNIME software and what's on the roadmap for 2025 and beyond.
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Full Agenda
Trainings, talks, and product spotlights from experts in AI, data science, and automation
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Tuesday 18, March | Wednesday 19, March | Thursday 20, March |
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08:30 - 09:45 Check-in & Breakfast | 08:30 - 09:15 Check-in & Breakfast | 08:30 - 09:15 Breakfast |
10:00 - 17:30 Onsite all-day Trainings | 09:30 - 11:00 Opening Session & Talks | 09:30 - 10:50 Talks (KNIME news) |
11:15 - 11:45 Morning Tea | 11:00 - 11:30 Morning Tea | 10:50 - 11:20 Morning Tea |
13:00 - 14:00 Lunch | 11:30 - 12:30 Talks | 11:20 - 12:10 Talks |
15:30 - 16:00 Afternoon Tea | 12:30 - 13:30 Lunch | 12:10 - 13:40 Lunch |
17:30 - 18:00 Yellow Carpet | 13:30 - 16:00 Talks & GoN Finale | 13:40 - 15:00 Talks & Panel Session |
18:00 - 18:30 Partner Awards 2024 | 16:00 - 16:30 Afternoon Tea | 15:00 - 16:00 Farewell Drinks |
18:30 - 22:00 Welcome Reception | 16:30 - 18:00 Talks & Panel session | (GoN = KNIME Game of Nodes) |
19:00 - 23:00 Summit Offsite Dinner & Drinks Arminius-Markethalle |
(Agenda is subject to change)
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Meet the speakers
Introducing our exciting lineup for 2025
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Dat Tran
DATANOMIQ
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Andrea de Mauro
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Loreto Albiñana Crespo
Moeve
Loreto Albiñana holds a degree in Industrial Engineering and a dual Master’s in Mechanical Engineering and Management from the Universidad Politécnica de Madrid and the Technische Universität München. She later specialized in Artificial Intelligence and is now leading the Generative AI Center of Excellence at Moeve, where projects based on this technology are developed for the entire company. Additionally, she has driven the AI Democratization strategy, where KNIME has played a key role in driving its adoption and success.
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James Whelan
Citigroup
James Whelan has over two decades of experience leading large-scale process re-engineering, digital transformation, automation and data science projects across Operations , Risk & Controls and Technology within the financial services sector. James currently serves as a Senior Vice President for Citigroup Hungary and is currently the Finance, Markets and Credit Risk Technology Budapest site-lead.
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Philipp Kowalski
Siemens
Philipp is a Digital Enablement Agent at Siemens, optimizing finance departments 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 Bytes & Budgets, a blog and YouTube channel about best practices in digitization for finance professionals.
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Katja Haertl, PhD
Infineon Technologies
Katja is a seasoned data scientist in the tech industry, with several years of experience in delivering custom end-to-end analytics solutions. In her role as a Business Application Owner at Infineon Technologies AG she is identifying technology gaps and enables internal business users to get the most out of their data.
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Jamie Crossman-Smith
Bloch.ai
In this panel, we bring together four leading experts in finance, audit, and generative AI to discuss the evolving intersection of technology and industry practice. The session will kick off with key questions about how generative AI has been incorporated into real-world applications within their domains. Our experts will delve into specific use cases, highlighting where GenAI has proven valuable, where it has fallen short, and the challenges encountered along the way. Join us for an insightful discussion to uncover the practical realities, opportunities, and complexities of leveraging GenAI in finance and audit.
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Rhys Meakins
MLG Oz
Rhys Meakins is a Corporate Strategy expert with over 15 years of experience in business process analysis, information systems project management, strategy development, accounting, sales, and taxation. He holds a Bachelor's degree in Financial Accounting & Marketing and a Master's in Taxation. Rhys' passion for technology is shown through his success as a cross-functional team leader tasked with leading successful transformation projects across many industries, including automotive, construction, and mining.
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Ranbir Sinha
KLM Royal Dutch Airlines
Advocate for Innovation and Continuous Learning, Ranbir is a seasoned software engineering leader with a history of developing innovative solutions that enhance efficiency and performance. He expertly manages teams in web applications, BizDevOps, data engineering, and analytics. His professional experience includes roles at industry giants like ASML and Philips.
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Fabrizio Ambrogi
Selvita S.A.
Fabrizio Ambrogi has been working as a data scientist for 7 years, specializing in the use of Machine Learning to develop AI solutions. His current position as Senior Machine Learning Specialist at Selvita, held for over 3 years, has seen his skill applied to the life sciences domain, with the deployment of advanced predictive models and intelligent systems to optimize the work processes inside the company.
His academic background is in Statistics, with an additional MSc in Artificial Intelligence. And his experience in the industry spans many fields, from semiconductors, to finance, to customer profiling.
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Joerg Wichard
Selvita S.A.
Jörg Wichard joined Selvita in 2022 as head of the ML/AI team. He has more than two decades of experience in AI and machine learning for life sciences from both academia and industry. Prior to Selvita, Jörg held various roles at Bayer AG, where he led the application and development of in-silico tools for investigative toxicology. His academic credentials include a Ph.D. in Physics from the University of Göttingen. He has also conducted research at institutions such as the AGH University of Science and Technology in Kraków, the Molecular Modeling Group at the FMP Berlin, and Charité - Berlin University of Medicine.
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Martin Dieste
Finnovation Flows
Martin Dieste is the founder of Finnovation Flows and a passionate advocate for digital transformation in finance. With over 15 years of experience across industries like healthcare, telecommunications, and education, he specializes in leveraging No Code/Low Code solutions to drive process automation and efficiency. As a KNIME-certified trainer Martin helps businesses unlock the power of AI and analytics, empowering teams to independently sustain their digital transformation journey. His expertise lies in bridging finance, technology, and innovation—making AI accessible and impactful in the financial and audit landscape.
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Maryam Olaniyan
LAV Systems
Maryam Olaniyan is the founder of LAV Systems and a seasoned data consultant with over eight years of experience. Her expertise spans multiple sectors, and she specializes in retail and consumer packaged goods (CPG), helping businesses harness the power of data-led decision-making. As a KNIME-certified trainer and a leading community advocate in Africa, she has nurtured a thriving network of over 2,000 KNIME users, fostering knowledge sharing and skill development. Passionate about AI-driven strategies, she is at the forefront of implementing KNIME-based AI solutions across various clients, enabling organisations to automate processes, enhance analytics capabilities, and drive business efficiency.
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Madlene Leißau
University of Applied Sciences Zwickau | Research Group Industry Analytics
Madlene Leißau is a research assistant at the University of Applied Sciences Zwickau and part of the research group Industry Analytics. She holds a M.Sc. in Management and is doing her PhD in the field of material flow simulation, on the combination and further development of backward simulation using data farming and machine learning for production planning and scheduling. Her focus is on digital transformation in SMEs (and beyond) - with the aim of making data-driven decisions more efficient. Whether it's a main or side quest, KNIME is one of her tools of choice to develop practical solutions for industry.
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Tommy Harstrom
Forest Grove
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Alex Romero Honrubia
ClearPeaks
Alex Romero holds a degree in Statistics, a Master’s in Operations Research and Machine Learning and a Postgraduate degree in Artificial Intelligence. With years of experience in building Data Science Solutions at different companies, he is now implementing the AI Democratization in Moeve, making the most of KNIME and the KNIME Business Hub to bring AI into the hands of non-technical users.
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Sasha Rezvina
KNIME
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Michael Berthold
KNIME
Michael Berthold is co-founder and CEO of KNIME, the open analytics platform used by thousands of data experts worldwide. He has co-authored two successful data analysis textbooks and is a frequent speaker at academic and industrial conferences. If time permits, he still builds workflows.
Speakers
See who's speaking at Spring Summit 2024.
Full line up will be released shortly.
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Michael Berthold
An interesting speaker with a lot of really interesting things to say. He founded KNIME and even wrote the first line of code, which is highly debate these days anyway.
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Michael Berthold
An interesting speaker with a lot of really interesting things to say. He founded KNIME and even wrote the first line of code, which is highly debate these days anyway.
.jpg?width=1530&height=1600&name=Michael%20Berthold%20-%20Headshot%20(Option1).jpg)
Michael Berthold
An interesting speaker with a lot of really interesting things to say. He founded KNIME and even wrote the first line of code, which is highly debate these days anyway.
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Michael Berthold
An interesting speaker with a lot of really interesting things to say. He founded KNIME and even wrote the first line of code, which is highly debate these days anyway.
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Michael Berthold
An interesting speaker with a lot of really interesting things to say. He founded KNIME and even wrote the first line of code, which is highly debate these days anyway.
Location & Accomodation
Plan your arrival
Welcome to the home 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
- sold out -
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.
Training Sessions
Onsite Only
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.
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You must select the course of your choice during the online registration.
- TRAINING 1: (L1-AP) Data Literacy with KNIME Analytics Platform: Basics
- TRAINING 2: (L2-DA) Data Analytics with KNIME Analytics Platform: Advanced
- TRAINING 3: (L3-DA) Productionizing Data Apps
- TRAINING 4: (L4-XAI) Modeling with Ensemble Methods and XAI
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 classification modeling with ensemble methods, including Random Forest and XGBoost, and how to use Explainable AI (XAI) to better understand our results.
When we use AutoML or otherwise search for the best algorithm to build a model on our data, we often discover that the best-performing algorithm is an ensemble technique. In this course, we will discuss what these techniques are all about, particularly the two most famous, Random Forest and XGBoost. We will also discuss why these techniques so often are top performers.
We will present XAI as a powerful companion technique since the complexity of Random Forest and XGBoost models makes them very difficult to interpret directly. KNIME supports a wide variety of XAI techniques. We will present them conceptually and learn how to use them.
Session 1: AutoML and Ensemble Methods in KNIME
Session 2: A Closer Look at Random Forest and XGBoost
Session 3: Introduction to XAI and Global XAI Techniques
Session 4: Local XAI techniques
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 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.
Course leader: Keith McCormick: Data Science Principal @ Further
Summit Passes
Registration is open
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
Onsite Summit Pass
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
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)
What else to expect
Onsite and Online Sessions
KNIME specialists at the Workflow Doctor, Press Booth and the Partner Exhibition.
Meet face to face with other data experts, connect personally with the presenters, and enjoy in-depth learning.
- Summit Offsite Dinner & Drinks
- Partner Exhibition
- Birds of a Feather
- Online Breakouts
Day 2 - Wednesday 19th
Arminius-Markthalle
Set in the most iconic Market Hall in Berlin, the Arminius-Markethalle is a food melting pot, on trend in gastronomy. With the exclusive use of the venue, you'll have access to a variety of food & beverage stands to cater for everyone's taste!
Gather in a casual and fun setting with other attendees and our KNIME team, to make some real, meaningful connections. Only available for onsite ticket holders.
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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.
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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 & academics with Stefan Helfrich
- Community at customers
with Scott Fincher - Data Connect Organizers
with Shantanu Tyagi
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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.
Previous companies who attended 2023/2024
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Frequently Asked Questions
You may need to know
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 gain 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 are available. Please book direct using the link under 'Location & Accommodation' on this webpage. Limited rooms are available on nights Mon 17 - Wed 19 March.