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April 15-17 | Austin, TX | AT&T Hotel & Conference Center


KNIME SPRING


SUMMIT 2024

Join us for KNIME Spring Summit 2024 in Austin, TX or online. Take an
instructor-led onsite training, hear from business and data experts across
multiple industries on how they are leveraging their data with KNIME, and get
first-hand news of the latest updates in KNIME software.










WHY ATTEND A KNIME SUMMIT

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

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

View 2023 talks View 2022 talks


PLANNING 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

 

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

Discounted rates across 4 nights, Sun 14 - Wed 17. Limited rooms available!

Use this link for our KNIME discounted rate. (Bfast included in Summit Pass)

Book the hotel →

FULL LINEUP COMING SOON


SPEAKERS

Previous

MICHAEL BERTHOLD

KNIME

CEO & Co-Founder

DAYANJAN SHANAKA WIJESINGHE

VCU, SCHOOL OF PHARMACY

Associate Professor

FABIOLA MARTINA

SIEMENS HEALTHINEERS

Operational Excellence Manager

PROF. BEHROOZ DAVAZDAHEMAMI

UNIVERSITY OF WISCONSIN - WHITEWATER

Assistant Professor

MATT WULFF

CAREERBUILDER

Head of Analytics

MICHAEL RICHTER

HENNESSY AUTOMOBILE COMPANIES

Director of Business Intelligence

KATE BARTKIEWICZ

DIGDATA

Marketing Data Scientist & Owner

MICHAEL BERTHOLD

KNIME

CEO & Co-Founder

DAYANJAN SHANAKA WIJESINGHE

VCU, SCHOOL OF PHARMACY

Associate Professor

FABIOLA MARTINA

SIEMENS HEALTHINEERS

Operational Excellence Manager

PROF. BEHROOZ DAVAZDAHEMAMI

UNIVERSITY OF WISCONSIN - WHITEWATER

Assistant Professor

MATT WULFF

CAREERBUILDER

Head of Analytics

MICHAEL RICHTER

HENNESSY AUTOMOBILE COMPANIES

Director of Business Intelligence

KATE BARTKIEWICZ

DIGDATA

Marketing Data Scientist & Owner

MICHAEL BERTHOLD

KNIME

CEO & Co-Founder

DAYANJAN SHANAKA WIJESINGHE

VCU, SCHOOL OF PHARMACY

Associate Professor

FABIOLA MARTINA

SIEMENS HEALTHINEERS

Operational Excellence Manager

PROF. BEHROOZ DAVAZDAHEMAMI

UNIVERSITY OF WISCONSIN - WHITEWATER

Assistant Professor
Next
 * 1
 * 2
 * 3
 * 4
 * 5
 * 6
 * 7

x

MATT WULFF

CAREERBUILDER

Matt Wulff is the Head of Analytics at CareerBuilder and a trusted source for
job opportunities and advice. In his current role, Matt oversees a team of
analysts that provide data, analysis, and reporting to the sales, finance,
product organizations.

x

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

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

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

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

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

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).

Full lineup coming soon


SPEAKERS

MATT WULFF

CAREERBUILDER

Head of Analytics

MICHAEL RICHTER

HENNESSY AUTOMOBILE COMPANIES
DIRECTOR OF BUSINESS INTELLIGENCE

KATE BARTKIEWICZ

DIGDATA
MARKETING DATA SCIENTIST & OWNER



MICHAEL BERTHOLD

KNIME
CEO & CO-FOUNDER


x

MATT WULFF

CAREERBUILDER

HEAD OF ANALYTICS

Matt Wulff is the Head of Analytics at CareerBuilder and a trusted source for
job opportunities and advice. In his current role, Matt oversees a team of
analysts that provide data, analysis, and reporting to the sales, finance,
product organizations.


x

MICHAEL RICHTER

HENNESSY AUTOMOBILE COMPANIES
DIRECTOR OF BUSINESS INTELLIGENCE

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

KATE BARTKIEWICZ

DIGDATA
MARKETING DATA SCIENTIST & OWNER

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. 

Connect on LinkedIn


x

MICHAEL BERTHOLD

KNIME
CEO & CO-FOUNDER

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.

Connect on LinkedIn



APPLY NOW




CALL FOR SPEAKERS

Do you have an exciting use case showcasing how KNIME has increased your
productivity, allowed you to gain additional insight, or enabled non-technical
users or students the ability to work with data? No matter the specifics, or
whether you're a domain expert, practitioner, academic, etc., we'd love to hear
how you've used KNIME for data science.

Sign up now to take the stage at KNIME Spring Summit - where industry leaders,
data experts, and beginners are eager to hear your story. When you click to
apply, you'll learn more about the process.

Apply now


FULL AGENDA COMING SOON


AGENDA HIGHLIGHTS

 

Monday, April 15 Tuesday, April 16 Wednesday, April 17

 

08:30 - 09:45   Check-in & Breakfast

10:00 - 17:30    Onsite Training (choose from 4 training sessions)

17:30 - 18:00    Yellow Carpet

18:00 - 18:30    Awards Ceremony

18:30 - 22:00   Welcome Reception

 

** Timings may differ slightly

 

08:00 - 09:15    Check-in & Breakfast

09:30 - 11:15     Opening Session & Talks

11:15 - 11:45      Morning Tea

11:45 - 12:45     Talks

12:45 - 14:00     Lunch

14:00 - 15:30    Talks

15:30 - 16:15     Afternoon Tea

16:15 - 17:45     Talks

18:30 - 23:00    Offsite Reception

** Timings may differ slightly

 

Partner Exhibition is open during all breaks

 

 

08:00 - 08:45    Breakfast

09:00 - 10:00    Talks

10:00 - 10:45     Morning Tea

10:45 - 12:30     Talks

12:30 - 13:30     Lunch

13:30 - 15:00     Talks

15:00 - 16:00     Farewell Drinks  

** Timings may differ slightly

 

Partner Exhibition is open during all breaks

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 are able to attend 1 of 4 training
sessions on Day 1 of the Summit.
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

L1-AP | Data Literacy with KNIME Analytics Platform: Basics

 

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.

L2-DE | Data Engineering with KNIME Analytics Platform: Advanced

 

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.

L3-DE | Productionizing Data Pipelines

 

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.

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 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 ONLY


WHAT ELSE TO EXPECT

As an onsite ticket holder, you have access to multiple breakout sessions.
Meet face to face with other data experts, connect personally with the
presenters, and enjoy in-depth learning.
 * Poster Exhibition
 * Workshops
 * Birds of a Feather
 * Partner Exhibition
 * Online Breakouts

Poster Exhibition

POSTER EXHIBITION

ONSITE TICKET HOLDERS

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

Poster Exhibition will be held Day 1 of the Summit - Monday 15, evening.

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

Register your interest
Workshops

WORKSHOPS

ONSITE | ONLINE

Workshops will run as a single session onsite on Day 2 and Day 3 throughout the
Summit.

Join any workshop you like with no need to reserve a spot in advance. 

Topics will be announced shortly.

Birds of a Feather

BIRDS OF A FEATHER SESSIONS

ONSITE TICKET HOLDERS

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

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

Topics will be released soon. 

Partner Exhibition

PARTNER EXHIBITION

ONSITE TICKET HOLDERS

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

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

 

 

 

 

Online Breakouts

ONLINE BREAKOUTS

VIRTUAL TICKET HOLDERS

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

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

More information to come.


SUMMIT PASSES

Onsite Training + Summit Pass
 
 
$650
 
 
3 Day access to the Summit


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 coming soon

Onsite Summit Pass

 
$350
 
 
2 Day access to the Summit

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 coming soon

Virtual Summit Pass
 
 
FREE
 
 
2 Day access to the Summit Online

April 16 - 17 I Live online streaming Tuesday & Wednesday.

 

Ticket Inclusions:

 * Keynote
 * Workshops
 * Presentations
 * Breakout sessions
 * Post event access to recordings

 

 

 

Full agenda coming soon

Register now

--------------------------------------------------------------------------------

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.



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