
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
Here’s what you can expect:
Hear from the KNIME Team to learn about the latest product offerings and enhancements.
Hear customer use cases, the challenges and opportunities others are experiencing, and important industry trends in data science, analytics, GenAI, and more.
Attend a hands-on workshop to learn about the basics of data science in KNIME, or more advanced topics like productionizing workflows.
End the day by mingling with peers and unwinding with hors d'oeuvres.
Speakers
Michael Richter
Director of Business Intelligence
Hennessy Automotive Group
Past DataHop Speakers
Michael Berthold
KNIME
Margaux Borgmann
AUDI
Simon Herzog
AUDI
Maxim Rube
Siemens Healthineers
Sandra Baumann
Siemens Healthineers
Philipp Kowalski
SIEMENS
Michael Richter
Hennessy Automotive Group
Matt Wulff
CareerBuilder
John Thompson
Cargill
Brennon Sessions
Procter & Gamble
Jason Wertheimer
Horizon Media
Lee Fader
Congruence Therapeutics
Michael Berthold
KNIME
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”
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.
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
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
Michael Richter
Hennessy Automotive Group
Matt Wulff
CareerBuilder
John Thompson
Cargill
Brennon Sessions
Procter & Gamble
Jason Wertheimer
Horizon Media
Lee Fader
Congruence Therapeutics
Workshops
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
Frequently Asked Questions
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.