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 Grounding is the solution that Universal Containers should use to ensure Einstein AI drafts 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 as Knowledge articles or cases.
Given that UC has legacy fields and outdated data, Service AI Grounding ensures that only the valid and applicable data is used by Einstein AI to craft responses. This helps improve the relevance of responses and avoids inaccuracies caused by outdated or irrelevant fields.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 Summaries and Service Replies are useful features but do not address the need for grounding AI outputs in specific, current data sources like Service AI Grounding does.
For more details, you can refer to Salesforce's Service AI Grounding documentation for managing AI- generated content based on accurate data sources.
