The data-privacy problem with enterprise LLMs - and how the Einstein Trust Layer addresses it with zero data retention, encrypted prompts, access checks, toxicity filters and a full audit trail.
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Articles on enterprise CRM, Salesforce architecture and AI.
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What the Salesforce CTA really is, why fewer than 0.01% of Salesforce professionals hold it, and a breakdown of the review-board exam - the solving, presentation and Q&A phases.
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A walkthrough of the Salesforce Einstein and Einstein GPT feature set, presented to the Amsterdam Salesforce User Group, with pointers to Einstein for Developers and the Winter 24 release.
Notes and resources from a talk on generative AI for the Utrecht Architect Community Group - what Salesforce architects need to know about LLMs, Einstein GPT and the wider GPT ecosystem.
A look at the major cloud AI platforms - AWS SageMaker, Azure AI, Google Vertex AI and IBM Watson - and the AutoML, language and vision services they offer.
How Salesforce Data Cloud resolves scattered customer data into a single golden record - and the seven-step journey from data strategy to activation and reporting.
Design thinking is a customer-centric, iterative way to solve problems. Here it is applied to a classic one - low user adoption of a new CRM.