Industries Common Resources Developer Guide

Industries Common Resources
AI Accelerator and Scoring Framework
AI Accelerator
AI Accelerator Standard Objects
AI Accelerator Platform Event
AI Accelerator Business REST APIs
Resources
Request Bodies
Response Bodies
AI Accelerator Predictions API Using Apex
Apex Reference
AI Accelerator Metadata Types
AI Accelerator Tooling Objects
Scoring Framework
Action Launcher
Actionable List Members
Actionable Segmentation
AI Relationship Research
Business Rules Engine
Collections and Recovery
Context Service
Criteria-Based Search and Filter
Data Processing Engine, Batch Management, and Monitor Workflow Services
Digital Lending
Discovery Framework
Decision Explainer
Einstein Relationship Insights
Einstein Standard Invocable Actions
Engagement
Group Membership and Households
Identity Verification
Intelligent Document Reader
Intelligent Form Reader
Interest Tagging
Omnistudio
Outcome Management Developer Guide
Outreach List
Process Compliance Navigator
Record Alerts
Record Rollup Definitions
Scheduled Reminders
Sentiment Insights
Service Process Studio
Stage Management
Timeline
Unified Catalog
Virtual Calls
Associated Objects
IndustriesSettings
Industries Object Access by Community License
Access Industries Features Deployed Using Managed Packages
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Note: This release is in preview. Features described here don’t become generally available until the latest general availability date that Salesforce announces for this release. Before then, and where features are noted as beta, pilot, or developer preview, we can’t guarantee general availability within any particular time frame or at all. Make your purchase decisions only on the basis of generally available products and features.

AI Accelerator Business REST APIs

Use the AI Accelerator Business APIs to get real-time score predictions for a machine learning use case model. You can access AI Accelerator APIs using REST endpoints. These REST APIs follow similar conventions as Connect REST APIs.

Overview

AI Accelerator is a real-time scoring platform that is meant to help you accelerate the development of use cases in Industries cloud applications and integrate with the underlying platforms, such as Einstein Discover (ED), Einstein Platform (EP), and Next Best Action (NBA).

You can pass the results from one platform to another and use the unique features of multiple platforms.. Some examples of such use cases include:

  • In Comms Cloud, predict whether a customer switches to another service provider or not.
  • In Health Cloud, predict if a patient shows up for a doctor’s appointment.
  • In Consumer Goods Cloud, predict which store visits can maximize profits.

To understand the architecture, authentication, rate limits, and how the requests and responses work, see Connect REST API Developer Guide.

Available resources are:

Resource Description 
1/connect/aiaccelerator/predictions
 Retrieve real-time scores prediction for a machine learning use case. 
1/connect/aiaccelerator/recommendations
 Get recommendations with Einstein Next Best Action. You can now work on actionable next steps with a unified, synchronized view of real-time score predictions and recommendations.