Your company is using Einstein AI to personalize marketing campaigns based on customer behavior.
To ensure that the AI model’s predictions are reliable and based on trustworthy data sources, which feature of the Einstein Trust Layer should be emphasized?
A customer support team is integrating Salesforce Einstein Copilot into their operations. They plan to use standard copilot actions to automate ticket creation and follow-ups but also need to create custom actions for handling escalations based on specific criteria, such as issue severity and customer status.
What is the best approach for implementing these actions?
A user asks Einstein Copilot to “Show me the top 5 opportunities closing this quarter.”
How does the large language model (LLM) process this request to identify and execute the correct copilot action?
An enterprise uses Einstein AI to analyze large volumes of customer feedback for sentiment analysis. The company needs to ensure that only the minimum necessary data is processed by the AI model to comply with data protection regulations.
Which Einstein Trust Layer feature should they use?