Salesforce piles on the Einstein Copilots<\/a><\/em><\/strong><\/p>\n<\/p>\n
Salesforce\u2019s evolving architecture<\/h2>\n
It\u2019s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud? <\/p>\n
\u201cData Cloud is built on the Einstein 1 platform,\u201d Jania explained. \u201cThe Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud \u2014 that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.\u201d<\/p>\n
Data Cloud \u2014 not an acquisition, of course \u2014 was built natively on that platform. It was the first product built on Hyperforce, Salesforce\u2019s new cloud infrastructure architecture. \u201cSince Data Cloud was on what we now call the Einstein 1 platform from day one, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.\u201d<\/p>\n
That\u2019s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn\u2019t necessarily talk to each other.<\/p>\n
\u201cAt times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,\u201d said Jania, \u201cbut in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud \u2014 they\u2019re all going to the same operational customer profile.\u201d They\u2019re not copying the data from Data Cloud, Jania confirmed.<\/p>\n
Another thing to know is that it\u2019s possible for Salesforce customers to import their own datasets into Data Cloud. \u201cWe wanted to create a federated data model,\u201d said Jania. \u201cIf you\u2019re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.\u201d<\/p>\n
Let\u2019s learn more about Einstein Copilot<\/h2>\n
\u201cCopilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,\u201d Jania said.<\/p>\n
For marketers, this might begin with a campaign brief developed with Copilot\u2019s assistance, the identification of an audience based on the brief, and then the development of email or other content. \u201cWhat\u2019s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn\u2019t even thought about.\u201d<\/p>\n
Here\u2019s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. \u201cThere\u2019s just one Copilot, we just add these for a little clarity; we\u2019re going to talk about marketing use cases, about shoppers\u2019 use cases. These are actions for the marketing use cases we built out of the box; you can build your own.\u201d<\/p>\n
It\u2019s surely going to take a little time for marketers to learn to work easily with Copilot. \u201cThere\u2019s always time for adoption,\u201d Jania agreed. \u201cWhat is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I\u2019ve seen since 2014 \u2014 and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.\u201d<\/p>\n
What\u2019s new about Einstein Personalization<\/h2>\n
Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What\u2019s new? <\/p>\n
\u201cEinstein Personalization is a real-time decision engine and it\u2019s going to choose next-best-action, next-best-offer. What is new is that it\u2019s a service now that runs natively on top of Data Cloud.\u201d A lot of real-time decision engines need their own set of data that might actually be a subset of data. \u201cEinstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.\u201d<\/p>\n
Finally, trust<\/h2>\n
One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.<\/p>\n
\u201cIn the Einstein Trust layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information \u2014 a credit card number, an email address \u2014 at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.\u201d<\/p>\n<\/div>\n
\n
Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization. To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO Marketing Cloud. Dig deeper: […]<\/p>\n","protected":false},"author":3,"featured_media":7706,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[5],"tags":[],"class_list":["post-7705","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agency"],"yoast_head":"\n
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