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The artificial intelligence capabilities of Einstein 1 have already generated a great deal of hype and development, which will be a significant emphasis of Dreamforce 2024. A corresponding focus has also been observed on the Data Cloud, which is the mechanism that combines data from many sources to enable this AI magic. However, precisely how do the two cooperate? Does Einstein 1 need to be enabled with Data Cloud?

Data Unification: Data Cloud as the Basis

Salesforce has made significant investments in Data Cloud over the last few years. As a result, it went from being a mid-tier customer data platform to the Leader position in the Gartner Magic Quadrant for 2023. Ultimately, it is clear that inside the Salesforce ecosystem, Cloudera Data Platform (CDP) offers the strongest basis for a complete data solution.

Data Cloud absorbs and unifies data from throughout the company to release data that has become imprisoned. Data can be included and connected to the Salesforce data model with more than 200 native connectors, such as those for AWS, Snowflake, and IBM Db2. As a result, it may be used for analytics, Customer 360 profiles, marketing campaigns, and sophisticated AI features.

To put it simply, you can do more with your data the better it is. This necessitates a careful examination of the data prior to Data Cloud ingestion: Do you possess the information points required for customization? Do the various data sources employ the same formats required for sophisticated analytics? Are you able to train the AI models with enough data?

Recall that your teams will still require proper usage of the data after it has been imported and mapped in Data Cloud. This could entail using a “two in a box” approach to work with a partner in order to quickly absorb and put those lessons into practice. On the other hand, it necessitates extensive training, change management, and a readiness to embrace the new instruments. Teams must have documentation such as a “Data Dictionary for Marketers” in order to completely comprehend the data points they are utilizing in their campaigns.

Improved AI tools are offered by Einstein 1 Studio

Once Data Cloud is operational, you can utilize Einstein 1 Studio, which houses Salesforce’s most advanced and potent AI tools.

Salesforce’s low-code platform for integrating AI throughout its product line is called Einstein 1 Studio, and it can only be accessed through Data Cloud. Salesforce is making significant investments in the Einstein 1 Studio roadmap, and with each new release, the features get better. As of early September 2024, when this article is written, Einstein 1 Studio is made up of three parts:

Prompt builder

Salesforce users may integrate these generative AI capabilities into any item, including contact records, by creating reusable AI prompts with the prompt builder. AI commands such as record summarization, enhanced analytics, and suggested offers and actions are triggered by these prompts.

Copilot builder

Salesforce copilots are artificial intelligence interfaces that are generative and based on natural language processing. They are designed to enhance customer experiences and increase productivity, both internally and externally. In addition to triggering actions and updates using Apex and Flow, Copilot Builder lets you personalize the built-in Copilot functions with prompt builder features like summarizations and AI-driven search.

Model builder

Businesses can utilize the standard large language models from Salesforce by utilizing the Bring Your Own Model (BYOM) option. If they want to employ the ideal AI model for their company, they can also integrate their own, such as SageMaker, OpenAI, or IBM Granite. Furthermore, a new model can be constructed using Model Builder and reliable Data Cloud data.

How can you determine which model produces the greatest outcomes? You can test and validate responses with the BYOM tool, and you should also take a look at this model comparison tool.

As Salesforce continues to make significant investments in this field, expect to see frequent updates and new features.

Salesforce AI features in the absence of Data Cloud

If you haven’t yet utilized Data Cloud or absorbed a significant amount of data, Salesforce nevertheless offers a range of artificial intelligence functionalities. These can be accessed using Tableau, Sales Cloud, Service Cloud, Marketing Cloud, and Commerce Cloud. These built-in AI features include suggestions for products, generative AI content, and case and call summary. The potential for AI outputs increases with the quality and coherence of the data.

This is a really useful feature, and you ought to utilize Salesforce’s AI capabilities in the following ways:

Optimization of campaigns

Marketing campaign subject lines and message copy can be created using Einstein Generative AI, and Einstein Copy Insights can even compare the suggested copy to past campaigns to estimate engagement rates. This feature extends beyond Marketing Cloud; depending on CRM record data, it may also suggest AI-generated copy for Sales Cloud messages.

Recommendations

Based on CRM data, product catalogs, and past behavior, Einstein Recommendations can be utilized across clouds to suggest goods, information, and engagement tactics. The recommendation could take many different forms, such as customized copy depending on the situation or a recommendation for a product that is the next best offer.

Search and self-service

Based on the query’s natural language processing, past interactions, and a variety of tool data points, Einstein Search offers customized search results. Based on Salesforce’s foundation of security and trust, Einstein Article Answers can enable self-service by promoting responses from a chosen knowledge base.

Advanced analytics

Although Tableau CRM (previously Einstein Analytics), a specialized analytics visualization and insights tool, is available from Salesforce, Salesforce itself has AI-based advanced analytics capabilities built in. Numerous reports and dashboards, such as Einstein Lead Scoring, sales summary, and marketing campaigns, emphasize these business-focused advanced analytics.

AI, Data, CRM, and Trust

Salesforce offers strong tools within the Salesforce ecosystem thanks to its focus on Einstein 1 as “CRM + AI + Data + Trust.” The only way to improve these tools is to use Data Cloud as the primary tool for activating, combining, and aggregating data. You should anticipate considerably more improvement from this in the future. The AI industry is changing at an astonishing rate, and Salesforce is still setting the standard with its investments and methods.

Einstein 1 pricing

Pricing for Einstein 1 is offered in two editions:

Einstein 1 for Sales:

Cost: $500 per month for each user

Features: Consists of all the features found in Sales Cloud Unlimited Edition plus Data Cloud, Sales Planning, Maps, Revenue Intelligence, Generative AI, Enablement, Slack, and Slack Sales Elevate.

Einstein 1 for Service:

Cost: $500 per month for each user

Features: All the features of Service Cloud Unlimited Edition plus Data Cloud, Digital Engagement, Feedback Management, Self-Service, Slack, and CRM Analytics are included. Generative AI is also included.

Remember that these are list rates, and that actual pricing may change based on things like the quantity of users, the features that are needed, and any deals that may have been worked out.