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Get Smart with Salesforce Einstein

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  1. Salesforce Einstein Basics

    Get Started with Einstein
  2. Get Started with Einstein
    7 Topics
  3. Learn About Einstein Out-Of-The-Box Applications
    7 Topics
  4. Responsible Creation of Artificial Intelligence
    Use the Einstein Platform
    9 Topics
  5. Understand the Ethical Use of Technology
    8 Topics
  6. Learn the Basics of Artificial Intelligence
    5 Topics
  7. Recognize Bias in Artificial Intelligence
    6 Topics
  8. Einstein Bots Basics
    Remove Bias from Your Data and Algorithms
    6 Topics
  9. Learn About Einstein Bots
    6 Topics
  10. Plan Your Bot Content
    4 Topics
  11. Einstein Next Best Action
    Learn the Prerequisites and Enable Einstein Bots
    3 Topics
  12. Get Started with Einstein Next Best Action
    9 Topics
  13. Sales Cloud Einstein
    Understand How Einstein Next Best Action Works
    7 Topics
  14. Increase Sales Productivity
    5 Topics
  15. Automate Sales Activities
    5 Topics
  16. Target the Best Leads
    3 Topics
  17. Close More Deals
    6 Topics
  18. Connect with Your Customers and Create New Business
    4 Topics
  19. Sales Cloud Einstein Rollout Strategies
    Improve Sales Predictions
    4 Topics
  20. Use AI to Improve Sales
  21. Start with a Plan
  22. Set Goals and Priorities
  23. Get Ready for Einstein
  24. Quick Start: Einstein Prediction Builder
    Start Using Sales Cloud Einstein
  25. Sign Up for an Einstein Prediction Builder Trailhead Playground
  26. Create a Formula Field to Predict
  27. Enrich Your Prediction
  28. Build a Prediction
  29. Quick Start: Einstein Image Classification
    Create a List View for Your Predictions
  30. Get an Einstein Platform Services Account
  31. Get the Code
  32. Create a Remote Site
  33. Create the Apex Classes
  34. Einstein Intent API Basics
    Create the Visualforce Page
  35. Get Started with Einstein Language
  36. Set Up Your Environment
  37. Create the Dataset
  38. Train the Dataset and Create a Model
  39. Put Predictions into Action with Next Best Action
    Use the Model to Make a Prediction
  40. Learn the Basics and Set Up a Custom Playground
  41. Define and Build a Prediction
  42. Customize Your Contact and List Displays
  43. Create Recommendations for Einstein Next Best Action
  44. Create a Next Best Action Strategy
  45. Add Next Best Action to Your Contacts

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AI Basics at a Glance

Because you seem like the naturally intelligent type, we’re guessing you already know a fair amount about AI from the Artificial Intelligence for Business badge you earned. But before we go into more detail about Einstein, here’s a quick recap of what we covered in that module.

  • AI makes our lives easier with personalized recommendations, intelligent search results, and automation of tasks (but not killer robots).
  • AI is at an evolutionary tipping point with the convergence of data, computing power, and algorithms.
  • AI is embedded in the applications that we already use in our consumer lives and is surfaced inherently through various user interfaces (UIs).

Smart Assistants: A Form of AI

Smart assistants are a form of AI that can perform and automate tasks for any individual or group. Over the past few years, smart assistants have surged in terms of their capabilities. If you’ve ever asked Apple’s Siri what the weather was looking like today, or Amazon’s Alexa to order you some new kitchen supplies, or Google’s Assistant to play you the newest Drake album, you’ve interacted with a smart assistant. 

What makes this assistant so smart? Have a look.

  • Voice input: Yep. Your savvy assistant has made it its full-time job to actually listen to you when you speak.
  • Natural language understanding (subset of natural language processing): It’s one thing for someone to listen to you, and another to really hear what you’re saying. This technology means your assistant has the ability to truly understand what you’re saying when you speak and to respond accordingly.
  • Voice output (natural language generation): There’s nothing like the art of conversation. So appreciate the fact that this technology enables your assistant to speak information back to you, as opposed to displaying it on a screen for you to read. (Bonus: It gives your eyes a break from screens!)
  • Intelligent interpretation: Anticipating your needs is key. This technology can figure out what it is you want next, based on context, past behaviors, and data (for example, ordering sushi every Tuesday night online, Google surfaces ads around that time next week for sushi).
  • Agency: We’re always looking for an overachiever. This allows your assistant to take action on things you didn't necessarily request. A good example: Assistants schedule follow-up meetings based on unfinished action items on meeting notes post-meeting.

Source: https://www.nngroup.com/articles/intelligent-assistant-usability/