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Enterprise AI you can stand behind. See it built. Then build your own.

Get a sharper view of how leading organizations are solving real business challenges with data and AI. At Data Connect Singapore hear from industry experts, join hands-on agentic AI workshops, and build alongside people doing the work. Bring a use case. Leave with a solution. 
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Attended By

  • Siemens_Healthineers_logo.svg
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  • Logo SCG
 
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Speakers 
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Evan Choong

Head, Innovation & AI
Brings AI-driven assurance to the enterprise by modernizing audits across technology and financial services to manage risk at the speed of the business.
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Jamin Teo

Senior Manager, Innovation & AI
Scales analytics-led assurance across the enterprise by sharpening how operational, financial, and regulatory risks are surfaced, measured, and managed.
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Santosh Nair

Head of Data & AI Portfolio
Translates enterprise strategy into scalable, reusable AI value streams — turning a data & AI portfolio into repeatable, measurable business impact.
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Schalk Gerber

Marketing & Community Lead
Connects Knime’s global community through peer expertise, innovation, and collaboration.
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Tuğrul Kaynak

Product Solution Engineer
Turns scientific and business data into solutions organizations can rely on.
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Stefan Helfrich

Senior Customer Advocacy & Programs Manager
Helps enterprises unlock the full value of their data & AI investments through community, which turns adoption into results.
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Nichatorn Champa

Senior Assistant Manager-Smart Manufacturing Systems
Brings expertise in smart manufacturing to identify process control gaps, optimize operations, and drive more efficient, data-informed decision-making across petrochemical plants.
Agenda
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Agenda: 

 

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Hands-on Workshop 

Attend the workshop during the afternoon session.
Save your seat when registering.

This hands-on workshop provides a practical introduction to agentic AI use cases and how they can be implemented using KNIME’s low-code environment.

The workshop runs in parallel with invite-only executive roundtables, allowing leaders and practitioners to engage in the format most relevant to their role.

During the session, you will:
  • Explore how Agentic AI workflows are built and orchestrated in KNIME
  • Learn how data and AI can be combined to support real business use cases
  • Work hands-on with KNIME using the browser-based interface
You will work hands-on with KNIME using the web browser interface.
You only need a laptop and your KNIME account (register here if you don’t have one).
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Data Connect Singapore takes place at:

Oasia Hotel Downtown, Singapore

 
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 and New York.
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
Ulrich Wagner

Ulrich Wagner

WIMEX
CEO
Michael thaltegos - ring

Dr. Michael Wolff

thaltegos
Partner thaltegos
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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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Ulrich Wagner

Ulrich Wagner

WIMEX

Studied economics in Regensburg, Germany. Starts the career after the reunification of East-Germany with a farm business near Leipzig. Build up the WIMEX group together with his father and a CEO college. Shareholder and CEO of the WIMEX group. The group works in the field of poultry breeding, vegetable farming and trading, arable farming, feed production, renewable Energy with biogas, PV and wind, IT-Solutions and Start-ups in Smart farming and Food-tech

Honorary work:

Chairman of the DLG Committee on Farm Management

Member of DLG-Main Committee Agriculture

Workgroup member of the Committee Banks and Insurances

Senator in the Senate of economy

Chairman of the Board Banat Agro Romania

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Michael thaltegos - ring

Dr. Michael Wolff

thaltegos
Michael is co-founder and partner of thaltegos, a Munich-based management consultancy focusing on Data Analytics & AI. thaltegos combines strategic expertise and analytical methodology to create integrated solutions and innovative business models along the data value chain.
 
thaltegos is a KNIME certified business partner and co-host of the KNIME DataHop. 
 
Workshops

 

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

 

Workshop 1: Discover KNIME Analytics Platform 5.2: An introductory workshop

What to expect:

  • Explore KNIME: Familiarize yourself with the interface and navigation of the KNIME Analytics Platform.
  • Data Literacy Basics: Extract and share significant insights from data.
  • First KNIME Workflow: Build your own workflow hands-on, with data access, cleaning, transformation, and visualization.

What to bring:

  • Laptop with KNIME AP 5.2 installed

Workshop 2: Automating & productionizing your first workflow with KNIME Business Hub

What to expect:

  • Explore KNIME Business Hub: Getting to know the concepts and features of KNIME Business Hub.
  • Deployments: Put your first workflow into production.
  • Collaboration: Share your work with colleagues.

What to bring:

  • Laptop with KNIME AP 5.2 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.
 
9:30 - 10:15 AM: Check-in and morning tea
 
10:30 - 12:00 PM: Workshops
 
12:00 - 1:15 PM: Lunch, networking, workflow doctor
 
1:15 - 2:45 PM: First round of presentations
 
2:45 - 3:00 PM: Afternoon tea break
 
3:00 - 4:50 PM: Second round of presentations, panel session, closing remarks
 
4:50 - 6:00 PM: Networking reception (and workflow doctor)
 

 

 


 
Frequently Asked Question
Here’s everything you need to know about Data Connect Singapore:
Who should attend this event?

Whether you are already using Knime or exploring how to scale analytics and AI across your organization, the Data Connect offers strategic insights, peer exchange, and real-world examples to support informed decision-making.


Is it possible to attend this event virtually?

No. This is a 1-day, in-person event and will not be streamed.

The on-site format is designed to enable meaningful conversations and direct interaction with the Knime team and customers.

Will the sessions be recorded?

Selected sessions may be recorded. Registered attendees will be informed after the event if recordings or materials are available.

In which language will the event be held?

The event will be held in English.

Can I purchase multiple tickets?

If you would like to register multiple attendees from your organization, please contact events@knime.com for support.

Is this event suitable for practitioners?

Yes, practitioners are welcome, especially those who want to contribute to or influence data and AI strategy within their organization.