PriceĮinstein is a Salesforce tool, and Salesforce comes at a variety of price-points depending on your needs. In contrast, Obviously AI specializes in no-code AI that can be used anywhere - from Salesforce to Google Analytics to Hubspot to Mailchimp, or even to serve predictions in your app with a REST API. Therefore, if you’re already using Salesforce - and not much else - then Einstein is a no-brainer tool. Einstein’s AI features let you discover insights, predict outcomes, get recommendations, and automate workflows in your Salesforce account. OverviewĮinstein is a smart CRM assistant specifically for Salesforce, the cloud giant owning Tableau. There’s no “one-size-fits-all” solution, which is why many teams find themselves comparing Salesforce Einstein and Obviously AI when looking for the right predictive analytics tool. To get the best bang for your buck, and equip your organization with the analytics software it needs to succeed, it’s important to get the right tool for you specifically. There are analytics offerings from Amazon (QuickSight), Microsoft (Power BI), Google (Looker), and more. It seems like there’s a new Business Intelligence or analytics tool coming out all the time. Obviously AI is built for non-technical people who want AI in clicks, no matter what tool they use, while Salesforce Einstein is better suited to those who focus solely on Salesforce.Obviously AI offers no-code AI that integrates with a wide range of tools, including Salesforce, while Salesforce Einstein offers an AI toolset just for Salesforce.As the communication with the API is based on a valid OAuth2 token (see MetaMind documentation) you can initiate a new PredictionService in the following way. The foundation for everything is the PredictionService. Usage examples Creating a PredictionService Options are for example to create and store a custom encrypted blob, and then decrypt via code. If you want to use this in production make sure that the certificate isn't shared publicly. The installation adds a new Lightning App to your Salesforce org for the included Playground. If you went through my Trailhead project you likely went through that excercise already. An option is for example to create and store a custom encrypted blob, and then decrypt via code. Store the Einstein Platform file as File in the org.Set the value for Einstein EMail in Custom Settings => Einstein Settings (via the Manage button) for that org to the email address that you've used to sign up for Einstein Platform.Sfdx force:mdapi:deploy -d mdapi -u yourOrgAliasĪfter you've added the wrapper files two steps are required: Installation Salesforce DX - new scratch orgĬlone the repo to your local file system. Please find the detailed instructions for how to setup access to the Einstein Platform API here. An API account for Salesforce Einstein Platform. a Developer Edition or a scratch org (you can signup here for free if you don't have one). Prerequisitesįor using the wrapper you'll need to fulfill the following requirements: Besided breaking changes compared to the old wrapper this repo contains the v2 of the API (including image-multi-label, language intent and language sentiment).Ĭheck out the full changelog. The wrapper supersedes the old wrapper for the Salesforce Einstein Vision API. Please check the product documentation for general information about what the Salesforce Einstein Platform API is, how to use it and when it'll be available for you. This repository showcases how to use the Salesforce Einstein Platform API using an Apex based wrapper. The functionality and future maintenance is available via the Einstein Vision and Language Model Builder in the AppExchange. This project is no longer actively maintained.
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