Instead of deploying their talents and knowledge, most data scientists today are still forced to slog through the data discovery and acquisition process, which can take anywhere from a few days to a few months.
What if you could cut that down to a few minutes instead? Data science automation has historically focused on hyperparameter tuning and model optimization but now it’s time to see how new tools can empower data scientists to use more and better data.
This whitepaper covers:
Why augmented data discovery is a major benefit, not a major drawback
How innovations in machine learning are focused on simplifying the data discovery and acquisition process
How augmenting data discovery enriches your machine learning models and gives you better results