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Learn how Einstein Secures your Customer Data
Join us as we discuss how the Einstein Trust Layer will securely provide Generative AI capabilities without any compromise to our #1 Value here at Salesforce - Trust.

, Lead Counsel, AI Legal, Salesforce

, Director of Marketing and Digital, Heathrow

, Director, Product Marketing, Salesforce

, European Salesforce CTO, Capgemini

, Product Management Senior Director, Salesforce

Role: Data Analyst, IT
Product: Einstein
Session Level: Intermediate
  • Tuesday, Sep 1212:30 PM - 1:10 PM PDT
    (7:30 PM - 8:10 PM GMT)
    Room 3016 (Moscone West, Level 3)
  • Wednesday, Sep 134:00 PM - 4:40 PM PDT
    (11:00 PM - 11:40 PM GMT)
    Room 2008 (Moscone West, Level 2)
Session Summary by Einstein: In this Dreamforce session, Salesforce discussed the importance of trust in AI technology, particularly in the context of their Einstein platform. The session highlighted the company's commitment to building a trusted AI platform for customer companies, with a focus on prioritizing trust, integration, intelligence, automation, and openness. The session also featured a discussion with Peter Burns of Heathrow Airport and James Parker from Capgemini, who shared insights on how the company uses Salesforce to secure the multitude of sensitive data they have being an airport, while starting their generative AI journey. The session concluded with a discussion on the role of trust, data security, and data privacy within the context of generative AI, and how Salesforce's Einstein Trust Layer secures customer data.
Key Takeaways by Einstein:
  1. • The Einstein Trust Layer securely retrieves customer data to enrich the prompts the instruct LLMs and masks that data from Large Language models.
  2. • With Zero Retention, OpenAI is contractually unable to store and use customer data to train their large language models.
  3. • Heathrow Airport is using Salesforce as trusted partner to implement generative AI for their Service use cases while maintaining trust.

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Nadina D. Lisbon

CRM Enterprise Architect

NetApp

Nadina D. Lisbon