Your AI-driven strategy might be missing one critical component: context.
1. Trend
– Increasing reliance on AI highlights the importance of data cleaning.
– There’s a shift from seeking perfection to understanding context first.
2. Insight
– In Salesforce, context-driven data cleaning can enhance AI model accuracy.
– Contextual insights ensure data relevance and quality align with AI goals.
3. Depth
– Solely pursuing perfection in data can lead to resource drain.
– For pros, balancing data precision with contextual understanding is essential.
4. Execution
– Prioritize context in data assessment for AI implementations.
– Utilize Salesforce’s tools to integrate contextual checks in your data pipelines.
Focus on integrating contextual insights into data management to enhance AI accuracy and efficiency.
You can read it here: https://sfdc.blog/PJmMU
Source from admin(dot)salesforce(dot)com