End to End Data Science
At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best.
How can KNIME Software help you?
Create
Productionize
KNIME Analytics Platform
KNIME Analytics Platform is the free, open-source software for creating data science.
KNIME Server
KNIME Server is the commercial solution for productionizing data science.
Contributor of the Month
We are happy to announce Vijaykrishna Venkataraman's mind map of KNIME features as the community contribution in August. In his words, "these are just my picks and don’t cover the entire list."
Each month we highlight community members who are doing unique and interesting things with KNIME or sharing useful data science tips and tricks.
Thanks for sharing, Vijay!
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Automate testing, save time, and catch errors early.
Achieve the perfect trade-off between inventory costs and service level.
Reduce time spent sifting through medical literature with automatic disease tagging.
Increase store level sales through better brand portfolio decision making.
Evaluate customer pain points to better allocate and manage resources.
Remove the need for manual work by automatically gathering and harmonizing text-based information.
Automated Workflow Testing and Validation
Inventory Level Optimization
Disease Tagging
Recommendation Engine for Retailers
Customer Sentiment Measurement
Risk Information Extraction
Successful Data Science Teams with KNIME - EUROPE / ASIA
Welcome to the seventh episode of our series of Guided Labeling Blog Posts1 by Paolo Tamagnini and Adrian Nembach (KNIME). In the previous episodes we have covered active learning and weak supervision theory. Today, we would like to present a practical example based on a KNIME Workflow and implementing Weak Supervision via Guided Analytics.
Be part of the KNIME Community
Join us, along with our global community of users, developers, partners and customers in sharing not only data science, but also domain knowledge, insights and ideas.