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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;
#enteprise #enterprisesoftware #enterprisetech #enterprisetechnology #enterprisesolutions #enterpriseapplications #enterpriseproduct #productdevelopment #scalability #performance #coreviewsystems ______________________________________________________________________________________
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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;
#enteprise #enterprisesoftware #enterprisetech #enterprisetechnology #enterprisesolutions #enterpriseapplications #enterpriseproduct #productdevelopment #scalability #performance #coreviewsystems ______________________________________________________________________________________
Social Media Links