MIT-rapporten slår fast att hela 95 procent av företagens generativa AI-piloter misslyckas med att skapa verkligt värde. Resultatet väcker frågor också i Sverige, där företag just nu investerar miljardbelopp i tekniken.
Så undviker du att din AI-satsning misslyckas – expertens råd till vd:ar
AI
En ny rapport från Massachusetts Institute of Technology visar att nio av tio företags AI-satsningar inte skapar nytta. För svenska företag är risken stor att hamna i samma fälla. Conny Svensson, Director of AI Adoption på AI Sweden, pekar ut de vanligaste misstagen – och hur du som vd undviker dem.

Foto: Adobe Stock/Pressbild.
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– Det jag verkligen vill skicka med är inte att dra slutsatsen att man inte får något värde från AI. Det finns ett jättestort värde att hämta och nu handlar det om att titta på de som lyckas med detta: Hur har de gjort, vad kan vi lära oss av dem? säger Conny Svensson, Director of AI Adoption på AI Sweden.
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


