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Take your data journey to the next level

What is a KNIME DataHop?

DataHop is KNIME’s roadshow event series. Join us in different cities around the world to hear best practices for working with data, learn about low-code data science with KNIME, and expand your network by connecting with industry peers and experts in a local, intimate setting. This is an in-person event only


About KNIME

 

KNIME’s free and open source analytics platform enables anyone — no matter their expertise — to intuitively work with data. KNIME Business Hub is the commercial complement to the analytics platform and enables users to collaborate on data science and share insights across the organization. Together, they support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice. KNIME users are further supported with learning resources and a repository of analytic blueprints built by KNIME and the open source community.


Next stops

 
Past DataHop Speakers

 

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

Michael Berthold

KNIME
CEO & Co-Founder
Margaux Borgmann

Margaux Borgmann

AUDI
Data Analyst
Simon Herzog

Simon Herzog

AUDI
Data Analyst
Maxim Rube

Maxim Rube

Siemens Healthineers
Service Owner / Product Owner
Sandra Baumann

Sandra Baumann

Siemens Healthineers
Data Scientist
Philipp Kowalski

Philipp Kowalski

SIEMENS
Digital Enablement Agent
Michael_Richter-2

Michael Richter

Hennessy Automotive Group
Director of Business Intelligence
Matt Wulff

Matt Wulff

CareerBuilder
Head of Analytics
Thompson - ring-1

John Thompson

Cargill
Self-Service Analytics Product Owner
Brennon Sessions

Brennon Sessions

Procter & Gamble
Senior Scientist
Jason Wertheimer

Jason Wertheimer

Horizon Media
SVP Media Technology & Data
Lee Fader

Lee Fader

Congruence Therapeutics
Vice President, Chemistry
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Michael Berthold

Michael Berthold

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

Margaux Borgmann

AUDI
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Simon Herzog

Simon Herzog

AUDI

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


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


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

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Maxim Rube

Maxim Rube

Siemens Healthineers

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

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

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

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

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Sandra Baumann

Sandra Baumann

Siemens Healthineers

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

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

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

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

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Philipp Kowalski

Philipp Kowalski

SIEMENS

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

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Michael_Richter-2

Michael Richter

Hennessy Automotive Group
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Matt Wulff

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. His career has been industry agnostic – spanning social media analytics, digital marketing, credit union insurance, apartment listings & job listings – but his focus has always been on the data driving these businesses. He has seen very clearly that while the industry may be different, the data challenges remain the same - how do you acquire ”good” data and what do you do with it once you have it. Matt has worn many hats and developed a unique skill set that spans programming, design, management, marketing, research, strategy, sales, and mentorship. Matt currently uses Knime daily to deliver data and insights to help drive CareerBuilder’s development of its programmatic product offering.
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Thompson - ring-1

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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Brennon Sessions

Brennon Sessions

Procter & Gamble
Brennon Sessions is a Senior Scientist at The Procter & Gamble Company, where he has held various technical R&D positions over the past 10 years. He currently leads the Personal Health Care division’s ‘Data Activation’ effort, focused on driving automated reporting and& visualization capability..
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Jason Wertheimer

Jason Wertheimer

Horizon Media
Jason Wertheimer has had dynamic and accomplished career with over 25 years of experience in the field of media data operations, quality assurance, and data integrations across diverse tech stacks. Wherever Jason has been, he has brought unparalleled blend of strategic vision, operational excellence, and technical expertise and has been able to harness the power of data to drive business success on behalf of his clients in an increasing evolving and complex media landscape. In Jason’s current role as SVP, Media Tech & Data at Horizon he is charged with ensuring the smooth operation of all the Media Tech teams platforms and processes. This in includes, but is not limited to data and platform governance, data quality assurance, product and process documentation and access.
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Lee Fader

Lee Fader

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

 

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

 

Workshop 1: Enrich Data Analytics with GenAI (120min)

During this hands-on workshop, we will explore a fraud detection use case and we will exploit the multi-language capabilities of GenAI to automatically generate custom alert messages. You will get familiar with the free low-code tool KNIME Analytics Platform, techniques for fraud detection, LLMs, and the use of GenAI via the KNIME AI Extension (Labs).

Without any coding experience you will learn to:

  • Detect frauds in investment contracts visually and using statistical techniques
  • Prompt engineer an LLM via the OpenAI integration
  • Create a vector store from a corpus of different types of investment contracts (the knowledge base)

Other KNIME AI integrations we will discuss include GPT4All, Hugging Face, Chroma, FAISS and more. Please bring your laptop with KNIME Analytics Platform and KNIME AI Extension (Labs) already installed.

Workshop 2: Deploy a GenAI enriched workflow on KNIME Business Hub (90-120min)

If you already have some experience with KNIME Analytics Platform and GenAI, learn about how to make your AI-enriched workflow available to any number of people in the organization.  Starting from a prepared workflow, we will build together a data app to display email alerts around suspicious fraudulent contracts. We will then explore the features of KNIME Business Hub to deploy the interactive data app on KNIME Business Hub. This will build on knowledge from the first workshop, but experienced users don’t need to join the first class to follow along.

Here you will learn to:

  • Build a data app to display email alerts
  • Deploy the data app onto KNIME Business Hub and make it available to authenticated users on a web browser

Please bring your laptop with KNIME Analytics Platform and KNIME AI Extension (Labs) already installed.

 

 

 
 Agenda

 

DataHop agendas are designed to make it easy for attendees to join for the day, and all have a similar structure as follows. Detailed, location-specific agendas can be found on the actual registration page.
 
9:00 - 10:00 AM: Check-in and morning tea
 
10:15 - 12:15 PM: Workshops
 
12:15 - 1:30 PM: Lunch, networking, workflow doctor
 
1:30 - 3:00 PM: First round of presentations
 
3:00 - 3:15 PM: Afternoon tea break
 
3:15 - 5:00 PM: Second round of presentations, panel session, closing remarks
 
5:00 - 6:00 PM: Networking reception (and workflow doctor)
 

 

 

 
Frequently Asked Questions

 

Here’s everything you need to know.
Who should attend this event?

Whether you're experienced with KNIME and data science or just starting to think about an enhanced analytical journey for your team, KNIME DataHop is perfect for anyone who wants to take their data journey to the next level.

Is this an in-person event only?

Yes, the KNIME DataHop is an on-site event only and won't be streamed. This is great way to meet your peers, stay up to date on the latest software news, learn about inspiring KNIME stories, and exchange ideas with the KNIME team and community.

Will the sessions be recorded?

Yes, we will be recording selected sessions. Videos and materials will be sent to all registered attendees a few days after the event.

Can I purchase multiple tickets?

There is a limit of 5-6 tickets per registrant when purchasing General Admission tickets, depending on the venue limitations. If you would like to register a larger group, please email events@knime.com.

In which language will the event be held?

The entire event will be held in English.