2024 Sessions

Explore
Dreamforce 2024
sessions.

View 1,500+ sessions by role, topic, or industry to see an example of what's to come at Dreamforce 2025.

You are currently viewing sessions from Dreamforce 2024.
Back to Session CatalogBack to Session Catalog
Unlock the Power of Data with Semantic Layer
Discover how Tableau Semantics transforms data management and analytics. Define metrics with custom models, deliver consistent insights across apps, and power AI with actionable insights.
Important: This session is first come, first seated. You do not have a reserved seat.

, Senior Director, Product Management, Salesforce

, Director, Engineering Manager, Salesforce

Role: Data Analyst
Product: Data 360
Topic: Data
Session Level: Advanced
Session Type: Theater
  • Tuesday, Sep 179:00 AM - 9:20 AM PDT
    (4:00 PM - 4:20 PM GMT)
    Moscone West, L2, Data Cloud Theater
  • Thursday, Sep 1911:00 AM - 11:20 AM PDT
    (6:00 PM - 6:20 PM GMT)
    Moscone West, L2, Data Cloud Theater
Session Summary by Einstein: The Salesforce conference session introduced the new Tableau AI semantic layer, an integral part of Data Cloud designed to serve as a translation layer between raw data and business language, offering a centralized management for business KPIs and definitions. It's already operational, enhancing consistency and trustworthiness of data across the organization, while enabling trusted AI by providing clear definitions for metrics such as ROI. The session demonstrated the semantic layer's capabilities, including the creation of semantic models and queries, and how it seamlessly integrates with Salesforce applications, Tableau Einstein, and third-party tools. With the semantic layer, users can create models with rich authoring experiences supported by AI, extend existing models, and utilize machine learning for forecasting, all contributing to a more governed and reliable data ecosystem.
Key Takeaways by Einstein:

• The semantic layer provides a trusted space for apps and users to query business terms, ensuring data consistency and clarity across various dashboards and reports.

• AI-driven authoring and machine learning models offer advanced data handling, allowing users to define, manage, and extend their business KPIs with ease and precision.

• The session showcased a live demonstration of building a semantic model, highlighting the layer's integration with existing data systems and its ability to produce actionable insights for business users.

Einstein Feedback : Report a Concern

With sessions and hands-on activities led by product experts, visionaries, and fellow Trailblazers, Dreamforce offers a deep dive into the latest in CRM + AI + Data + Trust.

Merlinda Lu

Salesforce Developer, IBM