Data scientists once worked in isolated teams using SAS, R, and SQL, solving problems disconnected from actual business needs. Low-code platforms like KNIME have broken down those walls, letting non-technical people work with data and democratizing the field.
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When we started doing that, data science was essentially done by small teams in the corner of an organization. It was like the geeks. They were sitting in the little cubicles, nobody talked to them. Problems were thrown over the wall. They addressed them, came back with answers. The answers were usually the wrong ones. Nobody really cared about the answers because they were actually interested in different questions. And what really happened behind the scenes didn't really matter. So people were sitting there and writing different types of code. Right? There was Sassbase and R&SQL or whatever was sitting out there. And low COD, lowcode really has allowed people to start working with data, making sense of data, without having to go through all of these technological complexities. So I think that's really something that. I mean, there's this democratizing of data science that everybody keeps talking about, and I think low code tools are fundamental for that one.