Einstein

Make it easier for service agents to find knowledge articles with Einstein Search for Knowledge, now generally available. Use live Snowflake data with your Einstein Discovery models and enjoy a more flexible source of truth.
Description: Ramp up quickly with new learning maps for Einstein Bots and Einstein Prediction Builder, plus a new welcome experience for Einstein Conversation Insights managers and reps. Customizable dashboards help you show the value of your Einstein Article Recommendations and Einstein Reply Recommendations setups.
Rights of ALBERT EINSTEIN are used with permission of The Hebrew University of Jerusalem. Represented exclusively by Greenlight.
Einstein Search provides an improved search experience at no additional cost. Einstein Search for Knowledge, which is now generally available, makes it easier for service agents to locate relevant articles. Users can also interact with new Einstein Search Answers enhancements and save answers and links to their clipboards.
Deploy models to make predictions with Snowflake data. Identify the most important variables in your model. Get fine-grain model performance of values within variables. See estimated story run time.
Build effective custom AI predictions by using the Einstein Prediction Builder Learning Map. This one-stop solution shows you how to build, from exploration to troubleshooting. Get valuable insights to drive predictive intelligence for your business.
Discover Einstein Vision and Language on the Salesforce Developer Portal and enjoy a more integrated content experience.
Integrate AI Accelerator and Next Best Actions (NBA) for your real-time use cases and show real-time predictions and NBA recommendations on one component. Use the Recommendations Connect API to get recommendations from the predictions generated for your use case.
Get updates when Einstein finds relationship recommendations for the records that you follow. View Relationship Insights from the new Actionable Relationship Center component.
Entering information from a handwritten intake application can be a tedious, error-prone, manual process. Intelligent Document Reader uses your AWS account to access Amazon Textract to get the correct data from the correct documents faster. With Intelligent Document Reader, data from uploaded documents such as applicants’ identity and contact information is directly pulled into an online application record, reducing manual document input and management.
Store data extracted from tables in a form.
Analyze customer sentiment with a dedicated AWS account using the Amazon Comprehend BatchDetectSentiment API. Sentiment Insights categorizes customer sentiment as positive, negative, mixed, or neutral. Analyze customer sentiment on responses to text-based survey questions, identify positive and negative trends, and discover areas of improvement.
Einstein Conversation Insights now includes a welcome experience for new users. Sales reps and managers can also see insights related to customer objections and get faster access to processed calls.
The lead and opportunity scoring model refresh schedule changed.
Include encrypted fields when you build your Case Classification model, and deflect cases and improve case handling time by integrating Case Classification with Flows.
Quantify the value of your Einstein setup with a customizable dashboard for Einstein Article Recommendations.
Quantify the value of your Einstein setup with a customizable dashboard for Einstein Reply Recommendations, and keep your Reply Recommendations model fresh with automatic monthly retraining.
We’re making it easier to learn about Einstein Bots and make smart performance decisions. Admins and developers can find everything they need to know about building, launching, and extending bots in the new Learning Map. Dig deeper into bot performance with new metric types and standard reports. Monitor your bot session use with engaged sessions.

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top