Operationalizing Your Machine Learning Solution

Artificial intelligence (AI) presents a significant opportunity for companies to transform their operations. With AI, companies can create applications that can predict and schedule equipment’s maintenance, to intelligent research and development (R&D) systems able to estimate the cost of new drug development, and use human resource (HR) AI-powered tools to enhance the hiring process and employee retention strategies. However, to be able to leverage this opportunity, companies must learn how to successfully build, train, test, and push hundreds of machine learning (ML) models in production and to move models from development to their production environment in ways that are robust, fast, and repeatable (Lazzeri 2022).