
The Planning Paradox in Data and AI
Organizations want to become data-inspired and start with a roadmap. "๐๐ฉ๐ข๐ต ๐ธ๐ช๐ญ๐ญ ๐ช๐ต ๐ค๐ฐ๐ด๐ต, ๐ธ๐ฉ๐ข๐ต ๐ข๐ณ๐ฆ ๐ต๐ฉ๐ฆ ๐ฎ๐ช๐ญ๐ฆ๐ด๐ต๐ฐ๐ฏ๐ฆ๐ด, ๐ข๐ฏ๐ฅ ๐ธ๐ฉ๐ฆ๐ฏ ๐ธ๐ช๐ญ๐ญ ๐ช๐ต ๐ฃ๐ฆ ๐ฅ๐ฐ๐ฏ๐ฆ?"
Completely understandable. Management needs certainty before investing in data and AI.
But this is precisely where a paradox lies:
"๐๐ฉ๐ฆ ๐จ๐ณ๐ฆ๐ข๐ต๐ฆ๐ณ ๐ต๐ฉ๐ฆ ๐ถ๐ฏ๐ค๐ฆ๐ณ๐ต๐ข๐ช๐ฏ๐ต๐บ ๐ข๐ฏ ๐ฐ๐ณ๐จ๐ข๐ฏ๐ช๐ป๐ข๐ต๐ช๐ฐ๐ฏ ๐ง๐ข๐ค๐ฆ๐ด ๐ข๐ณ๐ฐ๐ถ๐ฏ๐ฅ ๐ต๐ฉ๐ฆ ๐ถ๐ด๐ฆ ๐ฐ๐ง ๐ฅ๐ข๐ต๐ข ๐ข๐ฏ๐ฅ ๐๐, ๐ต๐ฉ๐ฆ ๐ด๐ต๐ณ๐ฐ๐ฏ๐จ๐ฆ๐ณ ๐ต๐ฉ๐ฆ ๐ฅ๐ฆ๐ด๐ช๐ณ๐ฆ ๐ง๐ฐ๐ณ ๐ข ๐ฅ๐ฆ๐ต๐ข๐ช๐ญ๐ฆ๐ฅ ๐ฑ๐ญ๐ข๐ฏ โ ๐ข๐ฏ๐ฅ ๐ต๐ฉ๐ฆ ๐ญ๐ฆ๐ด๐ด ๐ถ๐ด๐ฆ๐ง๐ถ๐ญ ๐ต๐ฉ๐ข๐ต ๐ฑ๐ญ๐ข๐ฏ ๐ข๐ค๐ต๐ถ๐ข๐ญ๐ญ๐บ ๐ช๐ด ๐ข๐ด ๐ข ๐ต๐ฐ๐ฐ๐ญ."
Because the journey to a data-inspired organization is not a ๐๐จ๐ฆ๐ฉ๐ฅ๐ข๐๐๐ญ๐๐ problem with a known solution path. It is predominantly ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ฑ โ full of surprises that no plan in the world can anticipate.
The certainty being sought? An illusion.
What helps instead: ๐ https://jens-linden.de/en/articles/plan-exploration-daten-ki
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