Babelfish AI Wrapper for Salesforce is designed to run self-serve analytics over existing Salesforce data.

1. AI Wrapper for
Salesforce Apps
Real-time customer insights for effective targeting and personalization

2. What is Babelfish AI Wrapper for Salesforce?
Why is it necessary?
Babelfish AI Wrapper is a knowledge-graph based analytics engine that helps in
automating business analytics. It can be wrapped around existing structured and
unstructured data sources to automate and enable self serve analytics. Babelfish AI
Wrapper for Salesforce is designed to run self-serve analytics over existing Salesforce
data.
Babelfish-Salesforce wrapper is a plug and play layer that can seamlessly connect with
Salesforce data to learn and deliver business insights. The graph works in the background
to deliver better context, accuracy and speed. Better context and accuracy increases
customer engagement outcomes, while speed reduces time and cost to generate
contextual real-time insights.

3. About Babelfish AI
The platform uses 3 Key AI Components which are seamlessly integrated to deliver
Real-time Insights
A BI Automation platform that uses Symbolic AI to deliver real-time insights, predictions
and recommendations.
Knowledge Graph
Babelfish uses a
proprietary Knowledge
Graph, with explicit nodes
that map directly to your
application columns.
View Graph
Inference Engine
Babelfish Inference Engine
works with the Knowledge
Graph to predict,
recommend and perform
causal analytics using
symbolic strings.
Know more
NLP Algorithms
Babelfish uses proprietary
NER and SRL algorithms
for detecting context and
meaning; allowing you to
query your data in plain
English.
Know more

4. About Babelfish Graph
A comprehensive knowledge graph for
- Multidimensional Business Intelligence
- Contextual Data Discovery
- Runtime online analysis for real-time
predictions and recommendations
- Storing data as symbolic structures allows
in real-time inference
- Seamlessly integrated with NLP
algorithms

5. Babelfish Use Cases

6. Fusing Salesforce Data Columns
with Babelfish Graph
Use Case: Salesforce CRM

7. Salesforce CRM App (Sales Cloud - primarily into managing sales prospects and their journey) uses 15
tables to manage accounts, products, price, campaign, contact, opportunities and other prospect
management features
Tables Covered
Account
Asset
Contract
Quote
Case
Quote Line Item
Opportunity
Opportunity Line Item
Campaigns
Campaign Member
Product2
Lead
Solution
PriceBook2
Contact
Overview

8. Account
Input
Product
Input
PriceBook
Input
Campaign
Input
Solution
Input
Contact
Account (Lookup)
QuoteLineItem
Product (Lookup)
Contract
Account (Lookup)
Contact (Lookup)
PriceBook (Lookup)
Lead
Campaign (Lookup)
Campaign Member
Campaign (Lookup)
Lead (Lookup)
Contact (Lookup)
Asset
Account (Lookup)
Product (Lookup)
Contact (Lookup)
Case
Account (Lookup)
Asset (Lookup)
Contact (Lookup)
Quote
Account (Lookup)
Contract (Lookup)
Contact (Lookup)
Opportunity
Account (Lookup)
Contract (Lookup)
Quote (Lookup)
Campaign (Lookup)
PriceBook (Lookup)
Opportunity
LineItem
Product (Lookup)
Opportunity (Lookup)
SF Tables with Lookup Dependency

9. Creating Relationship Hierarchy
We created a relationship
hierarchy to understand
relationships between data
parameters available in different
tables of SF Sales CRM.
This is useful in defining the
learning layers and declare the
relationships explicitly

10. Creating a Graph using SF data
Using the relationship hierarchy, we created a standalone graph for SF Sales CRM

11. Fusing SF Graph to Babelfish Graph
Using the SNF function, we fused the nodes of the graphs based on similar topics
of the knowledge network
Graph for Salesforce CRM Babelfish Graph
The arrows depicts main nodes that fuse due to topic similarity. The fusing nodes are Contact (Customer),
Product (Product), Price(Price) and Campaigns (OnGround Sales)

12. Extending the Graph
After fusing Salesforce CRM, we can connect to other systems like Salesforce Marketing Cloud,
Salesforce Commerce and other unstructured customer data sources, in order to create a single
customer data store for effective multidimensional analysis, behavior predictions and product
recommendations
Commerce Cloud Marketing Cloud Other Behavioral Data

13. For Demos, contact
rajesh@babelfishing.com
veer@babelfishing.com