ARTICLE26
AI Projects Fail More Often Because of Data Than Code
DEV.to AIΒ·May 13, 2026
Many AI projects fail due to a lack of data readiness rather than weak models. Businesses must modernize their data ecosystems and invest in data engineering and cloud platforms for successful AI adoption.
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