Which use case is best supported by Salesforce Agent's capabilities?
A.
Bring together a conversational interface for interacting with AI for all Salesforce users, such as developers and ecommerce retailers.
B.
Enable Salesforce admin users to create and train custom large language models (LLMs) using CRM data.
C.
Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities
The Answer Is:
A
This question includes an explanation.
Explanation:
Salesforce Agent is designed to provide a conversational AI interface that can be utilized by different types of Salesforce users, such as developers, sales agents, and retailers. It acts as an AI-powered assistant that facilitates natural interactions with the system, enabling users to perform tasks and access data easily. This includes tasks like pulling reports, updating records, and generating personalized responses in real time.
Option A is correct because Agent brings a conversational interface that caters to a wide range of users.
Option B and Option C are more focused on developing and training AI models, which are not the primary functions of Agent.