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5 AI Mistakes to Avoid for Salesforce Professionals
Learn to navigate AI pitfalls in Salesforce. In this session, you’ll discover five common mistakes plus the strategies to avoid them, ensuring you can confidently use AI to deliver trusted solutions.
Important: This session is first come, first seated. You do not have a reserved seat.

, Technical Content Director, Salesforce Ben

Role: Administrator
Product: Einstein
Topic: Artificial Intelligence
Session Level: Intermediate
Session Type: Theater
  • Wednesday, Sep 1810:30 AM - 10:50 AM PDT
    (5:30 PM - 5:50 PM GMT)
    Moscone West, L1 Forest, Admin Theater
  • Thursday, Sep 193:30 PM - 3:50 PM PDT
    (10:30 PM - 10:50 PM GMT)
    Moscone West, L1 Forest, Redwood Theater
Session Summary by Einstein: The session on avoiding common mistakes for Salesforce professionals underscored the critical importance of a clear AI strategy, emphasizing the rapid adoption of AI technologies and the lack of comprehensive understanding of their implications. Insights highlighted the urgency of aligning AI with business goals, managing risks, optimizing resources, ensuring scalability, and fostering user adoption through effective change management. The discussion also focused on the necessity of high-quality data, as poor data quality directly leads to AI failure, while customization beyond out-of-the-box solutions was encouraged to create competitive advantages. Ethical considerations and the need for human oversight were deemed paramount, with Salesforce's Einstein Trust Layer serving as a gold standard for maintaining trust in AI deployment.
Key Takeaways by Einstein:

• Businesses are urged to develop a well-defined AI strategy that aligns with their unique goals and prepares for the potential risks and ethical considerations associated with AI deployment.

• Data quality remains a cornerstone for AI success, and Salesforce provides tools for continuous data management to support effective AI outcomes.

• Human oversight is essential in AI applications to ensure accuracy and ethical use, as demonstrated by Salesforce's Einstein Trust Layer, which provides a benchmark for trust and compliance.

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Merlinda Lu

Salesforce Developer, IBM