Great speaking to David Butler, Head of Product Marketing and Phil Winters, Strategic Advisor at KNIME during their fall summit.
Systems that automate data science have been gaining a lot of attention recently. Similar to smart home assistants, automating data science for business users only works for well-defined tasks. We do not expect home assistants to have deep conversations about changing topics. In fact, the most successful systems restrict the types of possible interactions heavily and cannot deal with vaguely defined topics. Real data science problems are similarly vaguely defined: only an interactive exchange between the business analysts and the data analysts can guide the analysis in a new, useful direction, potentially sparking interesting new insights and further sharpening the analysis.
