(3:14) Why 70% of AI Deployments Fail Without Data “Data foundation is so important. We found in manufacturing that some of the data sources used to build these things were not always reliable or appropriate for training the model. You are better off with that static, well-understood gold source of truth data, and then you train it as you go on what you need the business rules to be.”