Factors in Evaluating Operationalization Products for Machine Learning

The chapter highlights considerations like speed, cost, GPU availability, and support flexibility when evaluating operationalization products for machine learning. It emphasizes the crucial role of support teams in successful deployment, discussing the importance of responsiveness and involvement in choosing the right products.