Universal Containers (UC) には、ケースとナレッジ記事に大量のデータが含まれる成熟した Salesforce 組織があります。UC は、多くのレガシー フィールドがあり、Einstein AI が正確な電子メール応答を作成するのに適さない可能性があるデータを保有していることを懸念しています。
Einstein AI が定義済みのデータ ソースから応答を作成できるようにするには、UC はどのソリューションを使用する必要がありますか?
正解：A
Service AI Groundingis the solution thatUniversal Containersshould use to ensureEinstein AIdrafts responses based on a well-defined data source. Service AI Grounding allows the AI model to be anchored in specific, relevant data sources, ensuring that any AI-generated responses (e.g., email replies) are accurate, relevant, and drawn from up-to-date information, such asKnowledge articlesorcases.
Given that UC has legacy fields and outdated data, Service AI Grounding ensures that only the valid and applicable data is used by Einstein AI to craft responses. This helps improve the relevance of responses and avoids inaccuracies caused by outdated or irrelevant fields.
Work SummariesandService Repliesare useful features but do not address the need for grounding AI outputs in specific, current data sources likeService AI Groundingdoes.
For more details, you can refer to Salesforce'sService AI Grounding documentationfor managing AI- generated content based on accurate data sources.
