87% of Data Science/AI projects or almost 9 out of 10 projects never make it to production, according to a 2020 Venture Beat report. Projects could fail at any stage – research, development, or deployment. This paper focuses specifically on instances where projects deliver in development but do not translate effectively into production results. It also explores ways to address common pitfalls.
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