Zurich, January 28, 2019 - For the sixth year in a row1, Gartner has placed KNIME®, the open source platform for data driven innovation, as a leader for Data Science and Machine Learning Platforms based on ability to execute and completeness of vision.
We’ve just released the latest versions of KNIME Analytics Platform and KNIME Server and here’s a quick summary of what’s new.
Some of the highlights in this release are a number of new interactive views (check out the new Tile View* and Heatmap), new integrations allowing KNIME workflows direct access to Google Drive and Tableau’s Hyper format, and a number of new statistical tests. New XGBoost nodes add access to this well known high performance machine library, while a more hidden gem is the completely new layout editor for composite views of metanodes, which allows you to build your own library of personalized view nodes.
Amazon Web Services re:Invent is taking place on November 26 -30, 2018 in Las Vegas, NV and KNIME will be there! This conference offers machine learning “Builder Sessions” and an “AWS Marketplace Machine Learning Hub” including KNIME Software. The goal of these hands-on sessions is to provide attendees expert guidance on machine learning building and data science automation for predictive quality management, predicting risk, and predicting excess stock inventory models.
NEW: KNIME Publishes ML Models in AWS Marketplace for Machine Learning
The new AWS Marketplace for Machine Learning lists KNIME workflow models ready to deploy to Amazon SageMaker. The KNIME models provide AWS Marketplace customers self-service, on-demand deployment for faster execution. KNIME workflow models are deployed as Docker containers for automated Amazon SageMaker delivery.
From November 6 - 9, 2018 we held our 3rd KNIME Fall Summit in the US and, like last year, we were in Austin, Texas. Over 200 people joined us and it was great seeing so many new faces amongst the regular Summit attendees - thank you to everyone who joined us!
We’ve just released the latest version of KNIME Analytics Platform and here’s a quick summary of what’s new.
There are enhancements to our deep learning integrations, added support for H2O Sparkling Water, and many utility nodes including a multi column dictionary tagger and a numeric outlier node, a powerful multi column expression node, nodes to handle your Git repositories, and many more. Along with this, many UI improvements have been made - including connecting or unconnecting nodes with keyboard shortcuts, zooming, and easy node replacement.
