The AI ML Star Cast

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80% of AI-ML projects fail due to unreliable Data Infrastructure.

87% of projects fail due to inappropriate data at the time of production.

Disciplined Data Engineering is the cornerstone for successful AI-ML projects.

The success of AI-ML projects depends 80% on Data Engineering and 20% on Data Science.

For more insights on how effective Data Engineering can ensure the success of your next AI-ML project, read here;

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