How should a consultant help UC deploy the three Einstein models to Salesforce?

Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The models are for every region UC has a business: EMEA, AMER, and APAC.

How should a consultant help UC deploy the three Einstein models to Salesforce?
A . Filter the account data per region and deploy the same model to all segments.
B . Segment the account data per region and deploy the appropriate model for each segment.
C . Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.

Answer: B

Explanation:

In deploying Einstein Discovery models that are tailored to different regions (EMEA, AMER, and APAC), the best approach is to segment the account data by region and apply the specific model designed for each segment.

This method ensures the following:

Relevance and Accuracy: Each model can be specialized to understand and predict based on regional dynamics, which may differ significantly across geographies in terms of market behavior, customer preferences, and economic conditions.

Efficiency: Deploying region-specific models avoids the dilution of predictive power that might occur

if a single model were used across all regions, which could lead to less accurate predictions. Scalability: This approach is scalable as UC can further refine each model as more regional data becomes available or as regional market conditions evolve.

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