KNIME Spring
Summit 2024
April 15-17 | Austin, TX | AT&T Hotel & Conference Center
3 Days of Data Science in Action
Join your peers for KNIME Spring Summit 2024 in Austin, TX 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
Marcel Meyer
Siemens Healthineers
Michael Berthold
KNIME
Michael Richter
Hennessy Automobile Companies
Kate Bartkiewicz
digData
Prof. Dayanjan Shanaka Wijesinghe
VCU, School of Pharmacy
Fabiola Martina
Siemens Healthineers
Prof. Behrooz Davazdahemami
University of Wisconsin - Whitewater
Prof. Dursun Delen
Oklahoma State University
Chenny Solaiyappan
Cognizant
Lee Fader
Congruence Therapeutics
Jerome Treboux
Forest Grove
Dakshitha Narendra Kiranakankanamage
ElectraNet
Selman Bayoglu
Kuveyt Türk Participation Bank
Ricardo Auerbach
BENTELER
John Thompson
Cargill
Self-Service Analytics Product Owner
Iris Adä
KNIME
VP Data & Analytics
Laura Rutledge
AMD
Market Insight Manager
Jennifer Ostyn
KNIME
Senior VP Revenue
Rosaria Silipo
KNIME
Head of Data Science Evangelism
Louis Raoul t’Serstevens
Nufarm
PMO Lead EuMEA
Jamie Crossman-Smith
Grant Thornton
Managing Director
Edgar Osuna
iuvity
Chief Data & Analytics Officer
Marcel Meyer
Siemens Healthineers
Michael Berthold
KNIME
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.
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.
Prof. Dayanjan Shanaka Wijesinghe
VCU, School of Pharmacy
Fabiola Martina
Siemens Healthineers
Prof. Behrooz Davazdahemami
University of Wisconsin - Whitewater
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.
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.
Lee Fader
Congruence Therapeutics
Jerome Treboux
Forest Grove
Dakshitha Narendra Kiranakankanamage
ElectraNet
Selman Bayoglu
Kuveyt Türk Participation Bank
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.
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.
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.
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."
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!
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"
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.
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.
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
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 party.
Plan Your Arrival
Location & Accomodation
Welcome to the location of the KNIME Spring Summit 2024:
AT&T Hotel and Conference Center
1900 University Avenue Austin, TX 78705 Map
Accommodation at this hotel is now sold out.
Please see nearby hotels for availability and to book direct.
Both are within 3-5mins walk.
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.
You must select the course of your choice during the online registration.
- L1-AP | Data Literacy with KNIME Analytics Platform: Basics
- L2-DE | Data Engineering with KNIME Analytics Platform: Advanced
- L3-DE | Productionizing Data Pipelines
- L4-DE | Best Practices for Data Engineering
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.
This is an in-person instructor-led course run by our KNIME data scientists and solution engineers.
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.
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 basic concepts of data engineering. You will learn different types of data, structured, semi-structured and unstructured, as well as different sources of data. There will be examples and exercises showcasing how to handle such data.
This is an in-person instructor-led course run by our KNIME data scientists and solution engineers.
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 created a data pipeline with KNIME Analytics Platform. But how to put it into production so as to make the data available to end users? In this course, we will show you how to use KNIME Software to test and deploy a data transformation workflow, automate its deployment and enable the subsequent data monitoring, and maintenance.
We will consider a use case of creating a data pipeline to manage the orders data for a restaurant franchise that receives data from various branches, demonstrate how to deploy the data transformation workflow manually or automatically, and how to schedule and trigger the execution of data pipelines in a production environment.
First, you will learn how to prepare a data transformation workflow for deployment. Then you will be introduced to KNIME Business Hub and will learn how to deploy a data pipeline as a scheduled or triggered execution. Next, you will learn types of data pipeline - ETL and ELT, and how to use the Continuous Deployment for Data Science (CDDS) extension framework to enable automated deployment on KNIME Business Hub. Finally, you will learn about the best practices to productionize data pipelines: the principles of data governance - quality, security and cataloging, orchestration and performance optimization.
This is an in-person instructor-led course run by our KNIME data scientists and solution engineers.
What level of KNIME experience is needed for this course?
You should already know how to build workflows, access databases and files, use flow variables and components in KNIME Analytics Platform. We recommend taking L1-AP and L2-DE courses or equivalent before attending this course.
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 and solution engineers.
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.
Onsite and Online Sessions
What else to expect
Meet face to face with other data experts, connect personally with the presenters, and enjoy in-depth learning.
- Workshops
- Birds of a Feather
- Partner Exhibition
- Online Breakouts
WORKSHOPS
Onsite Only
Workshops will run throughout the morning coffee break on Day 2 and Day 3 of the Summit. There will be two (2) workshops to choose from each day.
Tues 16
- Workshop 1: How to Build Data Apps. Empowering Business Users to Drive Action with Data Science
- Workshop 2: What is Your Data Strategy? Leveraging KNIME Across Various Data Strategies
Wed 17
- Workshop 3: Leveraging GenAI within KNIME Workflows
- Workshop 4: From Excel to Excellence: Enhancing Excel with KNIME
Join any workshop you like with no need to reserve a spot in advance.
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
- with Aline Bessa - Building a Community at Customers - with Scott Fincher
- Aspiring and Real Data Connect Organizers - with Shantanu Tyagi
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 Ballroom Foyer.
ONLINE BREAKOUTS
Virtual ticket holders
Join the online breakout rooms during breaks to meet the KNIME team and chat with other online attendees.
Breakouts will be open on both Day 2 & 3 of the Summit.
Sessions will be announced on the Event Page, 1 week out from the event. Use your access link in the ticket confirmation email, or calendar invite to access the page.
Summit Passes
April 15 - 17 I Attend in-person Monday, Tuesday & Wednesday.
Ticket Inclusions:
- Full day training ~ Day 1
- Keynote
- Workshops
- Presentations
- Breakout sessions
- Partner exhibition access
- Welcome reception ~ Day 1
- Offsite reception ~ Day 2
- In-person networking
- Post event access to recordings
** All meals included
Full agenda shown above
Onsite Summit Pass
April 16 - 17 I Attend in-person Tuesday & Wednesday.
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
** All meals included
Full agenda shown above
April 16 - 17 I Live online streaming Tuesday & Wednesday.
Ticket Inclusions:
- Keynote
- Presentations
- Breakout sessions
- Post event access to recordings
Access to the full online agenda will be available 1 week prior to event - via your access link
You may need to know
Frequently Asked Questions
Why should I consider to join onsite?
Joining the KNIME Summit is a great way to meet your peers, stay up to date on the latest software news and learn about inspiring KNIME stories. Take an instructor-led-training, get all your questions answered by the workflow doctor, and exchange ideas with the KNIME team and community.
Will the sessions be recorded?
Yes, we will be recording all sessions. Recordings and materials will be sent to all registrants (virtual and onsite) a few days after the Summit. Please register to get access.
Can I purchase multiple tickets?
There is a limit of 5 tickets per registrant. Group discounts are available for larger numbers. 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 the AT&T Hotel and Conference Center in Austin, TX. You can book a hotel room here on our special rate.