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.

08/09/2026

What does it actually take for a supply chain leader to trust AI with a real decision?

We asked three people who see this question from very different angles:

� A Chief Data Officer
�A supply chain professo
�A transformation leader who's run Fortune 50 fulfillment operations

The failures they'd seen were rarely about the model. They were about trust, and what it actually takes to earn it.

Read the takeaways from the full conversation �
https://bit.ly/4yfSlB9

07/09/2026

AMD's Market Insight team deals with a lot of data. Third-party sources, syndicated data, supply chain reports, and their own forecasts, pulled together every single day.

Gathering it all was only step one. The challenge was making sense of it: cleaning, combining, documenting, and delivering data quickly — all without hitting the ceiling spreadsheets tend to have.

Using , the team built visual, drag and drop workflows that anyone can learn, run, and troubleshoot.

Every step is documented, so when something breaks, they can retrace it instead of starting over.

The results:

✔️ Syndicated datasets and custom forecasting algorithms integrated automatically

✔️ TAM data flowing seamlessly into SQL and Snowflake

✔️ One single source of truth for the whole business

Six years in, KNIME has become a core part of how the team works with data every day. 🤝 https://bit.ly/3SJ0Ky0

04/09/2026

For supply chain teams, disconnected data means missed efficiency.

Knime integrates and analyzes supply chain data to support better forecasting, inventory decisions, and supplier oversight. 🔎

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. 🚀

Adresse

Talacker 50
Zürich
8001

Webseite

https://www.knime.com/

Benachrichtigungen

Lassen Sie sich von uns eine E-Mail senden und seien Sie der erste der Neuigkeiten und Aktionen von KNIME erfährt. Ihre E-Mail-Adresse wird nicht für andere Zwecke verwendet und Sie können sich jederzeit abmelden.