The challenge with data science isn’t the models or proving the hypothesis, it’s getting those models into production with the right data, governance, performance and resiliency to support them. The heavy lifting, so to speak.
The operational process for training and retraining, ensuring that the data infrastructure has the right quality to support the model, as well as the tools to explain a business decision when the customer asks.
These are the tough problems we know how to solve… because we have done it all before.
