Deploying data science into production is still a big challenge. Not only does the deployed data science need to be updated frequently but available data sources and types change rapidly, as do the methods available for their analysis. This continuous growth of possibilities makes it very limiting to rely on carefully designed and agreed-upon standards or work solely within the framework of proprietary tools.
KNIME has always focused on delivering an open platform, integrating the latest data science developments by either adding our own extensions or providing wrappers around new data sources and tools. This allows data scientists to access