In the past, the part of Einstein labeled “AI” was more for data analysis and prediction. Now, it connects foundational LLMs with your data to produce new text. In addition to speeding up work for the marketing team, it also means no more boilerplate emails, as the AIs will create semi-customized solutions based on past behavior.
Where will Einstein Studio 1 work best?
Einstein Studio 1’s approach works best in scenarios where the enterprise has already found ways to move lots of behavioral data into the system. It does better when details such as past purchases and past browsing are carefully collated and squirreled away in the data lake so they can be fed into the AI. Enterprises that have done all the hard work of cleaning up data and building a harmonious data lake with consistent fields will be all set to monetize.
One of the real challenges for marketing teams will be finding the sweet spot between boilerplate sales literature and creepy messages filled with too many personalized facts. Salesforce is pushing the idea that Einstein 1 is a vehicle for experimentation and iteration. The messages go out and, ideally, IT has already arranged for the details of any completed sales to be piped into the data lake so the results can be analyzed.
I think many of us dream of a world where we can push a button and go to lunch while the AI just generates oodles of sales automatically. This probably won’t be the case most of the time. Marketing teams will end up doing plenty of experimenting and tweaking of prompts. Sure, the basic messages will be written by the LLM, but the humans will still be fussing over the mechanism, adjusting the data flows, and worrying about the connection between the data and the LLM.
