Accelerate Data 360 builds with Flows, Data Graphs, Calculated Insights, APIs, and ML model integration to streamline development and improve performance.
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Featured Sessions
Scale Trusted AI Adoption with Salesforce and AWS
Learn how to deploy Anthropic models via Amazon Bedrock in Agentforce’s secure environment, enabling compliant AI adoption at scale, particularly for regulated industries.
Prompt to Agent with Google Cloud: Gemini 3 in Agentforce
Explore the full agent development stack using Gemini 3 as the reasoning backbone, prompt builder for Agentforce agents. See Gemini 3 Flash’s fast, high-accuracy inference to build adaptable agents.
More Output, Same Control: Embracing AI-Driven Change
AI will multiply your rate of change. As the bottleneck shifts from writing code to governance, learn how to stay in control of accelerated delivery and focus on the work that needs you.
Building AI-Ready DevOps: L-Founders' Journey to Agentforce
See how L-founders leverage Copado to build an intelligent DevOps foundation, enabling them to deploy Agentforce agents seamlessly with enhanced dependency analysis and advanced debugging capabilities
Optimizing Salesforce’s Own Sales Cloud with Hubbl
See how Salesforce uses Hubbl to accelerate planning. Learn how the internal product team aligns complex requirements to architecture to de-risk and optimize global Sales Cloud updates.
Architecture: AI, Data, Lakehouse, Zero Copy
Modern Data Architecture for AI. Learn from real Enterprise customer stories: Zero Copy to Databricks & Snowflake, real-time lakehouse from scale to latency, amalgamation of customer data, and more.
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Community Speaker
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Live Session Audio
Video On Demand
Accelerate Data 360 Development with 5 Pro Tips
, Lead Developer Advocate, Salesforce
, Chief Architect Salesforce Platform, Copado
Role: Consultant, Developer
Industry: Professional Services, Technology
Products: Agentforce 360 Platform, Data 360
Topic: Data Activation
Session Level: Beginner
Session Type: Theater
- Wednesday, Apr 158:00 AM - 8:20 AM PDT(3:00 PM - 3:20 PM GMT)Theater 2 (Level 2)
- Thursday, Apr 168:30 AM - 8:50 AM PDT(3:30 PM - 3:50 PM GMT)Theater 3 (Level 2)
Session Summary: The session introduced Data 360, formerly known as Data Cloud, Genie, and CDP, as a robust solution for handling large-scale data ingestion, transformation, and activation. Emphasizing its foundational role in AI-driven insights, the speakers highlighted the importance of structured and clean data models, efficient credit management, and the use of APIs for seamless data integration. Data 360 enables businesses to ingest data from multiple sources, harmonize and transform it within a scalable environment, and activate it for actionable insights, all while managing costs through credit tracking. Key features such as Streaming Ingestion API, zero-copy connectors, and calculated insights were demonstrated, showcasing how Data 360 optimizes data flow and analytics for AI and business applications within Salesforce's ecosystem.
Key Takeaways:
• Credit management is essential when working with Data 360, as improper data queries or inefficient processes can lead to unexpected costs; tools like the digital wallet and custom tagging help monitor and optimize credit usage.
• A well-structured data model is critical for successful implementation, as it impacts identity resolution, segmentation, and performance; using standard Data Model Objects (DMOs) and cleaning data before ingestion are recommended best practices.
• Testing at scale, including cost testing, is necessary to ensure realistic performance and credit consumption; developers should simulate real-world scenarios to optimize processes and avoid surprises during production.
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