How does Brainome’s “measure first” approach to machine learning make detecting and responding to data drift easy and reliable? How do you keep public-facing machine learning models in AdTech and FinTech deployments fresh and well-tuned? How does Brainome’s novel pre-build measurement approach make it possible to know when your model’s operating conditions have changed enough to warrant a reaction? What should that reaction be? Join us for our webinar “Detect Data Drift with Daimensions™ – Fast!” to see hands on how it’s done.