Relying on data science means investing in its foundation.

“…..a data scientist should be able to oversee the complete data & AI environment, including being able to interpret potential affects”.

Data science is based on algorithms. In essence nothing more than successive steps to obtain a defined purpose. Hence the reference within data science to a recipe. Algorithms deliver the added value and convenience that organisations (and often their customers) are looking for. Yet, a good algorithm takes into account which data is needed (and which is available!), to what extent the data can be used, how the quality of the data is defined by the process it supports, if the algorithm takes bias, privacy & ethical guidelines into account and the provenance of the data.

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Marinka Voorhout

Marinka Voorhout

Data strategy & data monetization director. Currently @Philips, formerly @KPMG, @NAVARA, @Capgemni.