The release of KNIME Analytics Platform 4.2 and KNIME Server 4.11.0 brings new functionality for enterprises to solve major data science challenges, as well as features for the individual KNIME user to collaborate, access more data sources, and blend more tools.
The KNIME Summits, in spring and fall, have been taking place since 2008 in Europe and the US. When the decision came to move as much of this year’s agenda online, we felt sad that we wouldn’t be able to see familiar and new faces in Berlin this year. At the same time we were inspired to do our best to make a success out of the online summit and start connecting as many home offices as possible - virtually everywhere.
ZURICH and BERLIN — April 1, 2020 — KNIME today unveiled a groundbreaking approach — Integrated Deployment — to eliminate the gap between the creation of data science models and their use in production.
ZURICH and AUSTIN, Texas — January 10, 2020 — KNIME, a unified software platform for creating and productionizing data science, today announced the availability of KNIME on AWS, its commercial offering for productionizing artificial intelligence (AI)/machine learning (ML) solutions on Amazon Web Services (AWS). KNIME on AWS is designed to allow customers to assemble and deploy ML solutions across the enterprise at scale and securely on AWS and to gain tangible value quickly. The offering is now featured in AWS Marketplace, including free trials.
KNIME just got stronger in guided analytics, sharing knowledge, and enterprise usage. The 2019 Santa Claus release strengthens the way to share, search, and reuse knowledge on the KNIME Hub with components. It adds guided labeling, and includes many additional nodes, integrations like Google Cloud Services, Databricks, Power BI, and OAuth authorization.
