KNIME | LinkedIn (original) (raw)

Info

KNIME helps individuals and organizations make sense of data. KNIME Software bridges the worlds of dashboards and advanced analytics through an intuitive interface, appropriate for anybody working with data. It empowers more business experts to be self-sufficient and more data experts to push the business to the bleeding edge of modern data science, integrating the latest AI and Machine Learning techniques. KNIME is distinct in its open approach, which ensures easy adoption and future-proof access to new technologies.

Branche

Softwareentwicklung

Größe

201–500 Beschäftigte

Hauptsitz

Zurich, ZH

Art

Privatunternehmen

Gegründet

2008

Spezialgebiete

data mining, business intelligence, data analysis, data integration, predictive models, statistics, workflow tool, reporting, data science, Machine Learning, open source, data analytics , Low Code, No Code, codeless, marketing analytics, manufacturing analytics , finance analytics, digital healthcare analytics und healthcare analytics

Produkte

KNIME Software KNIME software helps people and organizations make sense of data. Its free and open-source KNIME Analytics Platform enables all users, non-technical and data experts, to quickly gain insights from all their data – non-technical users through its low-code/no-code, visual interface; and more seasoned users through access to advanced analytic techniques, integration with scripting languages, ML libraries, and other tools of choice. KNIME Business Hub, the commercial complement to KNIME Analytics Platform, helps automate deployment and scale analytics across the organization. With a single install, users with different levels of data and domain expertise can collaborate, share workflows, and build repositories of proven solutions to reuse. Organizations can disperse insights via REST APIs, dynamic reports, or self-service data apps, making data-driven decisioning accessible to all.

Orte

Beschäftigte von KNIME

Updates

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  59.117 Follower:innen
  6 Std.
  🚨 Webinar Alert: Next Week!🚨 Join Keith McCormick (Data Science Principal at Further) and Scott Fincher (Data Science Community Team Lead at KNIME) as they discuss why AutoML needs Explainable AI (XAI). 👉 Save your spot today: https://lnkd.in/g955qj65
  
• 
  59.117 Follower:innen
  1 Tag
  📍🇮🇹 Ciao Bologna, we’re coming to you! Join us for KNIME Data Connect in your city, where we’ll explore how to enrich KNIME workflows with AI. Here’s what’s on the agenda: 📊 Session 1: Emilio Silvestri will demonstrate how the workflow is the perfect solution to integrate data pipelines and AI — all while maintaining accessibility and security at the highest levels. 📈 Session 2: Sergio Verga will showcase how the KNIME AI Extension is used to interpret graphs on a company's KPIs and provide suggestions for improvement. Hope to see you there! Register now: https://lnkd.in/gUmHgzJU
  
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  59.117 Follower:innen
  2 Tage Bearbeitet
  You can learn a lot about data — and now you can in Portuguese and Spanish, too! We’re excited to announce that our four KNIME courses on DataCamp are now available in Spanish and Portuguese! Learn data manipulation, visualization, transformation, and more—completely free until the end of January: https://lnkd.in/gx8WNHpG
  
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  59.117 Follower:innen
  5 Tage
  Our shared goal with DataCamp is to provide access to high-quality and easy-to-use learning resources, empowering millions of individuals and organizations to upskill in data science, analytics, and AI. 🤝 Learn more about this partnership in our official press release: https://lnkd.in/gTa5DNbE
  
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  59.117 Follower:innen
  5 Tage Bearbeitet
  Why does AutoML need Explainable AI? 🤔 AutoML is a powerful tool. It can greatly reduce the time it takes for data scientists to find an optimal model. But common methods like Random Forest, XGBoost, and other “black-box” techniques can make transparency and avoiding bias a challenge, which are especially critical in regulated industries. XAI bridges that gap, enabling the use of complex models while ensuring transparency for teams and stakeholders. 👉 Join this webinar, hosted by Keith McCormick (Data Science Principal at Further) and Scott Fincher (Data Science Community Team Lead at KNIME), to learn more: https://lnkd.in/g955qj65
  
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  59.117 Follower:innen
  6 Tage
  A few of our favorite things about KNIME Spring Summit! 🫶 Join us March 18–20 in Berlin, Germany, and experience it for yourself. https://lnkd.in/gJZnjCy7📈Level up your data skills. 📈Connect with industry leader and new peers. 📈Get sneak peeks into advances in KNIME software. 📈And much more! If you're a KNIME Spring Summit veteran, share your favorite things about Summit in the comments. 👇
  
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  59.117 Follower:innen
  6 Tage Bearbeitet
  Unlock the power of SAP data with KNIME. No extra hardware nor infrastructure required! 📊 Extract data from SAP systems into KNIME Analytics Platform ✍️ Write data to SAP systems 💻 Upload workflows to KNIME Business Hub Check out our conversation with Jie Zhao, author of "Unlock SAP Data in KNIME," to learn how the integration capabilities of the DVW KNIME Connector for SAP extension streamline workflows and boost productivity for users working with SAP data and the KNIME Analytics Platform. 👉 https://lnkd.in/gs9gq6ug
  
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  59.117 Follower:innen
  1 Woche Bearbeitet
  Introducing our new mentoring webinar series: KNIME 101 🎉 Ready to leverage your best data work with KNIME but don't know how? KNIME 101 is here to get you started! In this hands-on webinar, the first one in our KNIME 101 series, we'll teach you how to build your first workflow. Our goal is that by the end of this webinar you'll feel empowered to: 😎 Move around KNIME Analytics Platform 📊 Transform and visualize data with a few KNIME Nodes 🔎 Discover resources on the KNIME Community Hub Register to experience the power of visual workflows in data science and analytics, without having to code: https://lnkd.in/gaFEE4TZ🎙️ Emilio Silvestri, Michele Bassanelli, Rosaria Silipo
  
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  59.117 Follower:innen
  1 Woche
  #SummarizeWithGenAI: Does your business need to stay informed about EU regulations — without drowning in a sea of clauses? 📜 Try using this KNIME workflow and GenAI to summarize lengthy legal texts into concise, actionable insights: https://lnkd.in/gkgukFHB🔍 Explore more use cases: https://lnkd.in/gbs3Wpji
  
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  59.117 Follower:innen
  1 Woche
  🎓 Machine Learning Student Challenge - III edizione 🚀 🇮🇹 E siamo alla terza edizione della Machine Learning Student Challenge presso l’Università degli Studi di Milano-Bicocca all’interno del corso di Machine Learning del professor Fabio Stella. Quest’anno c’è una novità, in quanto si tratta di una collaborazione a tre: Università Milano-Bicocca, #KNIME, and The Information Lab Italy. 💡 La sfida si concentra sul processo di approvazione dei prestiti bancari, utilizzando dati reali tratti dal dataset Kaggle “Loan Approval”. 💡I membri del team con il progetto migliore avranno la possibilità di un internship presso l’ufficio di Madrid di The Information Lab! Buona fortuna a tutti i partecipanti! 🍀#TheInformationLab #MachineLearningChallenge #DataScience #KNIME #UniversityOfMilanoBicocca #Innovation------------------------------------------ Machine Learning Student Challenge - III edition 🚀 🇬🇧 And here we are at the third edition of the Machine Learning Student Challenge at the University of Milano-Bicocca within the Machine Learning course of Professor Fabio Stella. This year there is something new, as it is a three-way collaboration: University of Milano-Bicocca, KNIME, and The Information Lab Italy. 💡 The challenge focuses on the approval process of bank loans, using real data from the Kaggle “Loan Approval” dataset. 💡The team members with the best project will have the opportunity to intern at The Information Lab’s Madrid office! Good luck to all participants! 🍀
  

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