Learn from Datablazers how to assess, prioritize, mitigate data issues and use Data 360 to deliver the trusted data foundation for Agentforce agents.
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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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Build Agentforce Agents with Your Data
, Salesforce MVP & Chief Strategy Officer, PeerNova
Role: Administrator
Products: Data 360
Session Level: Intermediate
Session Type: Breakout
- Wednesday, Apr 158:00 AM - 8:40 AM PDT(3:00 PM - 3:40 PM GMT)Room 2010 (Breakout 5, Level 2)FIRST COME FIRST SEATED
- Thursday, Apr 1612:00 PM - 12:40 PM PDT(7:00 PM - 7:40 PM GMT)Room 2010 (Breakout 5, Level 2)FIRST COME FIRST SEATED
Session Summary: This session explored the evolving role of Salesforce Administrators, focusing on data challenges and strategies for improving decision-making and trust in data. Key discussions included the importance of trusted data over merely clean data, the use of Data Cloud for identity resolution, and leveraging tools like Salesforce Flow to ensure accurate data retrieval in real-time. Practical examples highlighted challenges such as duplicate records, incomplete information, and the need for data enrichment to provide actionable insights for agents and users. Additionally, attendees were introduced to new resources, including Trailhead badges and playbooks, to enhance their understanding and application of data quality management within the Salesforce ecosystem.
Key Takeaways:
• Salesforce Administrators are transitioning from managing clean data to ensuring trusted data by addressing gaps in data quality and understanding field usage in context.
• Data Cloud's identity resolution capabilities, combined with data enrichment and flow automation, help mitigate risks like duplicate records and incomplete information, enabling more accurate and actionable insights for agents.
• New Trailhead badges and resources, such as the Data Quality Fundamentals Trail and playbooks, provide practical guidance for admins and architects to improve data profiling, enrichment, and monitoring practices.
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