{"id":73448,"date":"2023-12-14T05:00:00","date_gmt":"2023-12-14T13:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=73448"},"modified":"2025-03-27T13:09:36","modified_gmt":"2025-03-27T20:09:36","slug":"einstein-copilot-explained","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/news\/stories\/einstein-copilot-explained\/","title":{"rendered":"Why Data Is the Difference Between ‘Useful and Useless’ AI Output"},"content":{"rendered":"\n

Editor\u2019s note: Einstein 1 Platform is now the Salesforce Platform. For the latest, go <\/em>here<\/em><\/a>.<\/em><\/p>\n\n\n\n

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To Sanjna Parulekar<\/a>, who’s spent 10 years in the tech industry and six years on the AI product marketing team at Salesforce, something about the flurry of AI conversations happening these days feels, well, different. \u201cPeople have now experienced generative AI<\/a> at their fingertips,\u201d she shared. \u201cSo they\u2019re coming to us and asking how to apply it to their business. AI is finally mature enough to make a sizable impact.\u201d <\/p>\n\n\n\n

And while Parulekar knows how powerful generative AI can be, she also knows there\u2019s a surprisingly fine line between useful and useless AI output. That difference, she explains, comes down to whether or not an AI-generated response is grounded in the right data, and whether or not users can trust it.<\/p>\n\n\n\n

In this interview with Parulekar, we discuss updates to Einstein Copilot<\/a> that improve enterprise AI output, and how customers can take advantage of out-of-the-box features to get up and running with generative AI right away.<\/em> <\/p>\n\n\n\n

Q. Einstein is a Salesforce staple, embedding AI into the #1 CRM. Now, he’s got a Copilot. What is that, exactly? <\/h4>\n\n\n\n

Einstein Copilot is a conversational AI assistant that brings the power of generative AI LLMs, like ChatGPT, into Salesforce. Customers can ask questions and Copilot will generate contextualized insights, action plans, and content across various CRM use cases \u2014 accomplishing tasks like building digital storefronts, drafting custom code, creating data visualizations, or providing sales associates with recommended steps to close deals. <\/p>\n\n\n\n

Customers can choose their preferred LLM within Einstein Copilot, so they can use different models for different use cases. Einstein Copilot is also embedded across every Salesforce cloud, which makes generative AI accessible to anyone that\u2019s using Salesforce technology \u2014 within their existing work processes. <\/p>\n\n\n\n

Q. What makes Einstein Copilot different? <\/h4>\n\n\n\n

There is no AI without data, so having AI and data capabilities deeply embedded in our products is super important.<\/p>\n\n\n\n

An LLM is only as good as the data it\u2019s trained on. If you ask a public generative AI tool a question about your business, you\u2019re going to run into a few issues. First, the public model doesn\u2019t have your company-specific data, so it lacks the content and context to deliver output that\u2019s personalized and accurate enough to be useful. Second, you don’t want your sensitive company information leaking into these public models, so you need a way to work safely and securely.<\/p>\n\n\n\n

With Einstein Copilot, customers get access to advanced and reliable generative AI capabilities, built on the foundation of their trusted enterprise data stored in Salesforce. It integrates with Salesforce Data Cloud<\/a>, which helps customers unify and harmonize data from any source and then act on relevant data and insights from their existing Salesforce processes and applications. Using both, customers can access all of their data \u2014 customer data, telemetry data, Slack conversations, and other structured and unstructured data \u2014 to make AI output as relevant as possible. <\/p>\n\n\n\n