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End-to-End MLOps: Bringing Value from Modeling to Deployment and Monitoring

  Machine learning

Tittle: End-to-End MLOps: Bringing Value from Modeling to Deployment and Monitoring Abstract: Andrew NG, computer scientist and founder of deeplearning.ai, estimates, that developing an ML models is only 25% of the ML work. According to a recent study by NewVantage Partners, of 70 leading enterprise companies, only 15% have deployed AI capabilities into widespread production. AI that is not deployed to generate value is only a very costly experiment. These experiments are complex technical accomplishments, but they don’t translate into ROI. MLOps allows companies to easily deploy, monitor, ...