“The “Iceberg Secret” speaks to the apparent gap between technical and non-technical stakeholders when it comes to evaluating the quality and progress of building an AI-based solution. Often the solution is judged on the visualization of the data or the scalar output of the predictions (the 10%), and little regard is given to the bulk of the work that is spent on the data preparation (the 90%). For the Data or ML Engineer, they understand the exponential value in carefully focussing on understanding the data, preparing the data and how important it is to ensure that a mature data pipeline is in place before any time is spent on the top 10%.” Isak Bosman ( 14.03.2019 )

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