Lightning Components

MetaMind Salesforce company:
https://metamind.readme.io/v2/docs
Started with Einstien AI prediction with Trial head project called

Quick Start: Einstein Prediction Builder

Einstien Dev Env Sign Up Steps:

1. Sign Up for a Trailhead Playground with Einstein Prediction Builder
2. Sign up for a Trailhead Playground with Einstein Prediction Builder.Fill out the form completely. In the Email field, enter an active email address. In the Username field, enter a unique email address, but it doesn’t have to be a valid email account. For example, your username can be yourname@pizzaiolomarco.com.
3. After you fill out the form, click Sign me up. A confirmation message appears.
4. When you receive the activation email, open it and click Verify Account.
5. Complete the registration form—set your password and enter a security answer.
6. Click Change Password. You are logged in to your special Trailhead Playground and redirected to the Setup page.
7. Now connect your new Trailhead Playground to Trailhead so you can pass the challenges in this project. In the Trailhead Playground picklist, select Log into a Developer Edition.

Get Smart with Salesforce Einstein

• Artificial Intelligence Basics
• Salesforce Einstein Basics

• Responsible Creation of Artificial Intelligence
• Einstein Voice Basics
• Einstein Bots Basics
• Einstein Next Best Action
• Sales Cloud Einstein
• Sales Cloud Einstein Rollout Strategies
• Prioritize Leads with Einstein Lead Scoring
• Quick Start: Einstein Prediction Builder
• Quick Start: Einstein Image Classification
• Einstein Intent API Basics

The evolution of the user interface has become increasingly more intuitive-from click to touch and now, to voice. 

Plan for Einstein Bots

Maria knows that adding multiple channels is the second stage of the general setup process for Service Cloud. (See the Service Cloud for Lightning Experience module for a refresher on that.) She also recalls that AI and bots fall under the last of the four high-level stages for setting up service with Salesforce.

• Google paid $600 million for an AI solution called DeepMind, which beat a human world champion at the board game Go
• Twitter paid $150 million for Magic Pony, an image-processing platform
• Microsoft paid $200 million for Equivio, a machine learning start-up
• Splunk paid $190 million for Caspida, a cybersecurity AI firm
• Apple paid $30 million for MapSense, an AI mapping company

“For many companies, the technical expertise, infrastructure, and other resources required to deliver AI solutions is too significant. Salesforce Einstein is removing the complexity of AI, enabling any company to deliver smarter, personalized and more predictive customer experiences.”

Think of your customer base as a garden. It takes a lot of work to get your garden started. You throw in a lot of seeds (leads), and spend a lot of effort nurturing the strongest seedlings so they can grow into strong, healthy plants (opportunities). And thanks to your commitment and hard work, those plants turn into delicious things to eat (accounts). (This is only a metaphor. Please don’t eat your customers.) You celebrate that first harvest with the fruits and vegetables of your labor—literally. But you don’t rip out this garden and start again from scratch next season. Of course not. That would be a huge waste of the time and resources you already spent. Plus, with the right care, many of your plants will produce again next season. But to get the biggest bounty from your garden, you have to tend to it. (Okay, metaphor over.) The point is, if you want your customers to come back, you need to devote time and attention to them, even anticipate their needs.

Source from SF Trial heads