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Data Cloud and AI: An End-to-End Implementation Story
Join us for a comprehensive Data Cloud implementation walkthrough, from ingestion to activation. See real-world generative AI use cases that leverage Data Cloud data from the Einstein platform.
Important: This session is first come, first seated. You do not have a reserved seat.

, Lead Developer Advocate, Salesforce

Role: Consultant, Developer
Product: Einstein, Data 360
Topic: Data
Session Level: Intermediate
Session Type: Breakout
  • Tuesday, Sep 1712:30 PM - 1:15 PM PDT
    (7:30 PM - 8:15 PM GMT)
    Moscone West, L3, Room 3014
  • Thursday, Sep 1912:45 PM - 1:30 PM PDT
    (7:45 PM - 8:30 PM GMT)
    Moscone West, L3, Room 3020
Session Summary by Einstein: The recent Salesforce conference session provided a comprehensive walkthrough on integrating Data Cloud and AI to create enriched customer experiences, focusing on an end-to-end implementation story using a use case scenario. The session delved into the processes of data ingestion, harmonization, unification, and activation, using a fictitious E-bikes app to demonstrate the practical application of combining multiple data sources into a single source of truth. Additionally, it showcased the use of generative AI to query the unified data and the creation of promotional emails using data graphs and APEX. The speaker, a developer advocate at Salesforce, emphasized the importance of following the Safe Harbor statement and making decisions based on generally available features, while providing a detailed guide on setting up connectors and data streams, and leveraging the Data Cloud app for efficient data management.
Key Takeaways by Einstein:

• Attendees learned how to consolidate data from various sources including CRM, IoT devices, and external websites into Salesforce Data Cloud, ensuring a unified customer profile.

• The session highlighted the significance of data harmonization and identity resolution in creating a reliable single source of truth for customer data within the Data Cloud.

• Demonstrations included the use of Salesforce's generative AI capabilities to generate targeted promotional emails and the utilization of agent actions for querying top customer insights conversationally.

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Merlinda Lu

Salesforce Developer, IBM