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Technical explainers and certification perspectives from our editorial library.
Identity resolution in Salesforce Data 360 links records from multiple sources into unified profiles for individuals, accounts, leads, or households.…
Data 360 modeling and harmonization convert source-specific records into a standardized customer data model that can support identity resolution, segmentation,…
Salesforce Data Cloud was rebranded to Data 360 in October 2025, and current Salesforce documentation and certification naming use Data…
Agent testing is different from testing a deterministic workflow because the same model-driven system can produce variation across runs. A…
Salesforce AI-agent security requires more than prompt filtering. An Agentforce deployment combines user identity, Salesforce permissions, data retrieval, prompt construction,…
Prompt templates and agent actions solve different parts of an Agentforce workflow. A prompt template structures generative AI input and…
Grounding gives an AI agent current, organization-specific context instead of relying only on a model’s general knowledge. In Salesforce, grounding…
Agentforce architecture is best understood as a set of trust boundaries around reasoning, data retrieval, actions, channels, and external systems.…
Snowpark brings DataFrame-style programming into Snowflake so engineers can build transformations in languages such as Python while keeping execution close…