AI Solution's maintenance is different from traditional softwares

#artificialintelligence 

IDC predicts that up to 88 percent of all AI and ML projects will fail during the test phase[1]. Major reason is that AI solutions are difficult to maintain. In this post I will highlight how maintenance of AI solution is different and why MLOps are important. Some business executives and even engineers think that when an AI solution is deployed, you're done. But most of the time you may only be halfway to the goal.

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