
#261 Low Code Data Science with Michael Berthold, CEO and co-founder of KNIME
DataFramed
Navigating Low-Code Adoption in Data Science
This chapter examines the challenges organizations face when transitioning to low-code data science tools, particularly the resistance from traditional coders. It highlights the importance of data literacy and the necessity for flexible tool selection that meets project needs, rather than just preferences. Additionally, the discussion provides strategies for enhancing data skills and leveraging community resources to optimize workflow creation and user engagement.
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