Let’s say your company’s data science teams have documented business goals for areas where analytics and machine learning models can deliver business impacts. Now they are ready to start. They’ve tagged data sets, selected machine learning technologies, and established a process for developing machine learning models. They have access to scalable cloud infrastructure. Is that sufficient to give the team the green light to develop machine learning models and deploy the successful ones to production?

source: https://www.infoworld.com/article/3681208/5-risks-of-ai-and-machine-learning-that-modelops-remediates.html


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