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Salesforce Einstein Language #ImpactSalesforceSaturday Session by Saagar Kinja

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#ImpactSalesforceSaturday:

Agenda
- Introduction to New Delhi Salesforce Developer Group
- Build understanding with Einstein API
- How to connect to Einstein API
- How to use Einstein API
- Introduction with Einstein Language
- Introduction with Einstein Sentiment
- Let's build a solution together.

Speaker: Saagar Kinja ( Salesforce Einstein Champion at HCL Technologies )

Date and Time
Thursday, October 31, 2019
03:00 PM to 4:00 PM

Link to Session Recording: https://youtu.be/yaSwP4pXBxs

Join us for #ImpactSalesforceSaturday a series of online Salesforce Saturday sessions.
Sign up and become a speaker
https://newdelhisfdcdug.com/call-for-speakers/

We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IoT, CPQ, Einstein, etc).

Published in: Software
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Salesforce Einstein Language #ImpactSalesforceSaturday Session by Saagar Kinja

  1. 1. New Delhi Salesforce Developer Group #SalesforceSaturday Salesforce Einstein Language -Saagar Kinja, Salesforce Einstein Champion LEARN . SHARE . CELEBRATE . SALESFORCE
  2. 2. New Delhi Salesforce Developer Group #SalesforceSaturday Salesforce Einstein Language - Build understanding with Salesforce Einstein API - How to connect to Salesforce Einstein API - How to use Salesforce Einstein API - Introduction with Salesforce Einstein Language - Introduction with Salesforce Einstein Sentiment - Let's build a solution together. LEARN . SHARE . CELEBRATE . SALESFORCE
  3. 3. About Me: Saagar Kinja ● Senior Consultant @ HCL Tech ● Salesforce Einstein Champion ● Salesforce PD2 and PD1 Certified https://linkedin.com/in/saagar-k @saagar_kinja https://trailblazer.me/id/skinja
  4. 4. About New Delhi Salesforce DG • First Revival Meetup in February 2016 • Twitter: https://twitter.com/newdelhisfdcdug • New Delhi Salesforce DG Trailblazer Community Group: http://bit.ly/NewDelhiCommunity • Facebook: https://www.facebook.com/newdelhisfdcdug
  5. 5. What is #SalesforceSaturday • Started by Stephanie Herrera in Austin, Texas • Meetup every Saturday in a Coffee Shop or anywhere to share and learn about Salesforce • It’s now a global phenomena with more than 25 SalesforceSaturday Group over 5 Continents • For India, it comprises of Online Knowledge Sharing sessions and Trailhead Challenges
  6. 6. Aim : To understand Salesforce Einstein Platform and get hands on Salesforce Einstein Language Prerequisites : • Few minutes of focus and commitment • Developer Org • Salesforce basics • Good to have knowledge of Apex/ VF/ LWC/ Aura LC. • Knowledge of API (Rest Callouts) • Knowledge of Data set and modelling
  7. 7. Salesforce Einstein Platform
  8. 8. Let’s Start
  9. 9. Salesforce Einstein Products
  10. 10. • Dataset • Training Data • Consist of input data and • Label • Group of similar data inputs in a dataset to be recognized • Reference to output name, which we are predicting . • Model • A machine learning construct used to solve a classification problem • Training • Process of creating a data model and classification rules • Predictions • The result !! Some Common Terms !
  11. 11. • Sign up for an account (https://api.einstein.ai/signup) • Find your key file • Install cURL / Install Salesforce Einstein Utilities in Salesforce Org • https://curl.haxx.se/download.html • https://github.com/muenzpraeger/salesforce-einstein-platform-apex • Get a Token (https://api.einstein.ai/token) • Reset a Token (https://api.einstein.ai/reset) Prerequisites
  12. 12. Einstein Intent • Categorize unstructured text into user-defined labels to better understand what users are trying to accomplish. • Intended meaning of text • Analyse text from emails, chats or web forms • Determine what products prospects are interested in and send customer inquiries to the appropriate sales person. • Understand customer posts to provide personalized self-service in your communities. Salesforce Einstein Language Einstein Sentiment • Classify the sentiment of text into positive, negative, and neutral classes to understand the feeling behind text. • Identify the sentiment of a prospect’s emails to trend a lead or opportunity up or down. • Provide proactive service by helping dissatisfied customers first or extending promotional offers to satisfied customers. • ModelID=CommunitySentiment (Standard pre- built data model) Leverage the power of natural language processing to analyse intention and sentiment to better understand your customer's needs.
  13. 13. • We define the labels that we want the model to output when text is sent into the model • Most time-consuming part of the process • Good data and lots of data • Right and correctly labelled data with accuracy • Text datasets can contain up to 3 million records • Follow source of truth : https://metamind.readme.io/ for latest and correct recommendations, practices and updates Steps 0 : Define your classes and gather data EXAMPLE "need to reset my password",Password Help "when will my order arrive?",Shipping Info "can I buy another pair, these are great?",Sales Opportunity
  14. 14. Step 1 : Create the Dataset Step 2 : Train the Dataset Step 3 : Predictions !!
  15. 15. Demo !!! • How Admins can leverage Salesforce Einstein platform from day 1. • How Developers can leverage Salesforce Einstein platform from day 1. • Replicate all steps in live environment • Lightning Model Builder – How to generate dataset from existing objects • Understand various other processes.
  16. 16. Example :
  17. 17. Follow Me ● Senior Consultant @ HCL Tech ● Salesforce Einstein Champion ● Salesforce PD2 and PD1 Certified https://linkedin.com/in/saagar-k @saagar_kinja https://trailblazer.me/id/skinja
  18. 18. Follow & Join New Delhi Salesforce DG • Join to know about future events and to RSVP: https://trailblazercommunitygroups.com/delhi-in-developers-group/ • Let’s start conversations on Success Community: http://bit.ly/NewDelhiCommunity • Follow us on Twitter: https://twitter.com/newdelhisfdcdug • Follow us on Facebook: https://www.facebook.com/newdelhisfdcdug • For all the content: https://newdelhisfdcdug.com

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