Improve predictive scoring by enabling intelligent field augmentation
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|Enabled for||Public preview||Early access||General availability|
|Users by admins, makers, or analysts||Aug 1, 2021||-||Oct 1, 2021|
Organizations collect a vast amount of CRM data as part of their regular course of business. This data becomes a powerful source of insight when used to train an AI predictive scoring model. Certain attributes may have key values that, when recognized by the model, can further its efficacy and exclude confounding data points. Using field augmentation, you can identify the fields and key values for training the AI model, such as whether a customer is new or returning, an email is legitimate or fake, recent activity, phone number length, and more.
As an administrator, you can select an attribute as an augmented field from the edit fields page. Using field augmentation, you can identify the fields and key values for training the AI model. Field augmentation could include:
- Whether a customer is new or returning.
- Whether an email is legitimate or fake.
- Recent activity.
- Phone number length.
- Private or public email domain.
- Contact ID.
Select intelligent fields (docs)