KNIME

Kontaktinformationen, Karte und Wegbeschreibungen, Kontaktformulare, Öffnungszeiten, Dienstleistungen, Bewertungen, Fotos, Videos und Ankündigungen von KNIME, Software-Unternehmen, Talacker 50, Zürich.

KNIME is the trusted platform for automated and explainable data and AI work – speeding up time to insight, aligning teams around verifiable logic, and powering critical business systems.

02/09/2026

What happens when one auditor's shortcut becomes a capability for an entire team?

At ING, one of Europe's largest banks, individual auditors were finding smarter ways to automate audit planning, sampling, and anomaly detection.

But that knowledge often stayed stuck on one laptop or in one spreadsheet macro.

ING changed that. Using , they scaled analytics across their internal audit function, giving 400+ auditors the ability to run process mining, anomaly detection, and automated testing themselves, with governance built in from the start.

The result: workload on certain tasks dropped from three days to fifteen minutes, and analytics is now used in 65 to 70% of audits.

Read the full story �
https://bit.ly/4xB72ic

31/08/2026

What does it take to move AI from experimentation to business impact?

In our latest YouTube video, we break down how companies like Siemens Healthineers are using AI for practical, high-ROI use cases — and building the roles and processes to make it happen.

Watch the full conversation at the link in bio.

28/08/2026

Finance leaders need speed without sacrificing confidence. 📊

See how BGIS uses Knime to standardize revenue recognition and labor processes across 100+ business units — strengthening compliance, consistency, and trust in every number.

Learn more: https://bit.ly/3Ux3JtP

26/08/2026

What happens when the only person who understands an AI process leaves?

Human oversight only works when knowledge is shared. �

Our latest blog explores how to build AI workflows that others can find, understand, check, run, and safely change.

Check it out here: https://bit.ly/4c8oJx5

25/08/2026

The biggest AI mistake?

👉 Starting with the technology instead of the business problem.

In our recent YouTube video, Sasha Rezvina and Dr. Swantje Schulze discuss what’s happening on the ground as enterprises scale AI agents, and how teams can move from experimentation to production without losing control.

Watch the full conversation here: https://bit.ly/3SiMrjy

24/08/2026

We love seeing what organizations can achieve when they put data and AI into the hands of more people.

Yamaha is a great example. 👇

Instead of hiring hundreds of data scientists, Yamaha invested in upskilling its existing workforce — training more than 1,500 employees to use data science in their everyday work, many with no prior programming experience.

Today, teams across product development, manufacturing, and marketing can collect, prepare, analyze, and visualize data on their own.

Yamaha also built a application that uses AI to recommend alternative materials during production changes, reducing a process that previously took around 30 hours.

It’s a powerful example of what happens when organizations combine the right technology with the skills and confidence to use it. 🚀

See the full customer story here: https://bit.ly/4quTYbm

21/08/2026

Supply chain questions shouldn’t take hours or 10+ experts to answer.

For P&G, Knime brings manufacturing, supply chain, and inventory data together in real time, helping teams quickly see what’s affected and make decisions in minutes.

The result? Faster forecasting, fewer manual reports, and 8,000+ users turning data into action. 🚀

20/08/2026

Getting AI to produce a useful number is the easy part. Proving how it got there is where finance teams stall. �

� On September 9 we're showing finance teams how to close that gap with traceable AI workflows.

Join Benjamin Hemminger andTobias Kastenholz as we discuss how finance teams can:

� Turn recurring analysis into an AI agent.

� Keep every step transparent, with numbers traceable back to source and easy to walk through with auditors.

� Share AI-powered apps across the team while keeping sensitive data secure.

RSVP here: https://bit.ly/4c1lHup

19/08/2026

What happens when a critical financial process moves from spreadsheets to automated workflows?

The FDA modernized its staff forecasting and Fully Loaded Cost (FLC) modeling with — cutting a process that could take months down to minutes, while improving accuracy, visibility, and scenario analysis.

Swipe to learn more and read the full post here: https://bit.ly/4wojOiE

17/08/2026

Still doing these tasks manually? 👀

Data prep, report generation, and file consolidation are all prime candidates for automation. Free up your time for the work that actually moves the needle.

Learn how Knime can help at the link in bio.

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Talacker 50
Zürich
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https://www.knime.com/

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