Additional capital added to an existing round at the same terms.
Selling accounts receivable to a third party at a discount for immediate cash.
Seller remains liable if receivables are not collected.
Bias toward rapid experimentation and learning cycles.
Price at which an asset would trade between informed parties.
Independent opinion on financial fairness of a transaction.
Expected proportion of false positives among significant results.
Probability of detecting an effect that is not real.
Private wealth management entity investing directly or via funds.
Share of active users engaging with a given feature.
Excessive features reducing clarity and usability.
Dedicated branch for developing a specific feature.
Composite measure of how many features an account uses.
Composite measure of intensity of use for key features.
Change in input feature distributions degrading model performance.
Process of creating input variables to improve model performance.
Matrix showing which features belong to which plans.
Toggle to enable/disable features for subsets of users.
Limiting new features prior to a major release for stability.
Conditional control that grants access based on rules.
Named owner responsible for a feature’s outcomes.
Matching competitors’ key capabilities to remove switching barriers.
Monitoring distribution, nulls, and drift of ML features.
Retention among users of a specific feature.
System for managing and serving machine learning features consistently.