SF Einstein

Think of a bank using AI to predict whether an applicant will repay a loan. If the system predicts that the applicant will be able to repay the loan but they don't, it's a false positive, or type ___ error.

1

Think of a bank using AI to predict whether an applicant will repay a loan. If the system predicts the applicant won't be able to repay the loan but they do, that's a false negative, or type ____ error.

2

___________ is an umbrella term that refers to efforts to teach computers to perform complex tasks and behave in ways that give the appearance of human agency. Often they do this work by taking cues from the environment they're embedded in.

AI (Artificial intelligence)

a software intermediary that allows two applications to talk to each other. EX: using Facebook, sending an instant message, or checking the weather on your phone

API (application programming interface)

Einstein _____________ helps your sales team maintain their relationships with customers by keeping the team informed about key business developments that affect customers.

Account Insights

Einstein __________ automatically logs email and event data on Salesforce records, which increases reps' productivity and visibility into potential customers.

Activity Capture

Einstein ____________ is a productivity-boosting tool that keeps each sales rep's email and calendar aligned with Salesforce. First, it captures email and events from a rep's Microsoft or Google account and adds them to the activity timeline of related Salesforce records. Reps no longer need to log activities manually in Salesforce.

Activity Capture

activity-related insights (such as when a contact mentions a competitor or is leaving their company) are identified from recent emails and events related to accounts.

Activity Capture

Einstein ___________ automatically adds contact records to Salesforce, so reps spend less time on data entry.

Automated Contacts

_________ bias imposes a system's values on others. Take for instance, a beauty contest judged by AI in 2016. The goal was to declare the most beautiful women with some notion of objectivity. But the AI in question judged by Western beauty standards that emphasis whiteness. In the end, the vast majority of the winners were white.

Automation

Einstein _____ use Natural Language Processing (NLP) to provide instant help for customers by answering common questions or gathering the right information to handoff the conversation seamlessly to the right agent for more complex questions or cases.

Bots

Einstein _______ allow you to build a smart assistant into your "customers" favorite channels like chat, messaging or voice.

Bots

The difference between your closed deals and current sales quota

Closed to Quota Gap

_________ bias labels data based on preconceived ideas. The recommendations you see when you shop online reflect your purchasing habits, but the data influencing those purchases already reflect what people see and choose to buy in the first place. You can see how recommendation systems reinforce stereotypes. If superheroes don't appear on a website's 'toys for girls" section, a shopper is unlikely to know they're elsewhere on the site, much less purchase them.

Confirmation

Einstein Opportunity Insights: Your reps see predictions based on recent activity and existing opportunity data. For example, whether a deal is more or less likely to close, or if a deal seems unlikely to close in time.

Deal Predictions

___________ is a subfield of machine learning. The focus is on creating systems that mimic the function of the human brain, functions like thought or decision making.

Deep learning

With Einstein __________, anyone can get the full understanding of relevant patterns on all of the data in your company, whether encrypted or not, to make predictions on customer attrition. You can have full control of the data they're putting into the predictive model and be able to dig deeper into the predictions and insights.

Discovery

Einstein's forecast prediction for your sales team's deals this month

Einstein Prediction

The difference between Einstein's prediction and your current sales quota

Einstein Prediction to Quota Gap

Einstein Opportunity Insights: Reps get reminders to follow up when a contact hasn't responded in a while. They also get reminders if there hasn't been any communication related to an important opportunity for a significant period of time.

Follow Up Reminders

Let's say you own a camera company with a variety of products. More often than expected, equipment gets damaged. Reps at your business can take photos of the equipment, and with the help of Einstein ___________, they'd be able to understand whether the piece of equipment is damaged, where the damages are, and be given an estimate on how much it will cost to repair. This will take the guesswork out of inspecting all pieces of equipment, and it will save your reps a ton of time.

Image Classification

The Einstein _____ API categorizes unstructured text into user-defined labels to better understand what users are trying to accomplish.

Intent

Using Einstein ________to categorize different text, your marketers can categorize what customers are saying about the product, whether they're talking about the color, texture, durability, and more.

Intent

Einstein Opportunity Insights: Reps are notified at key moments related to a deal, such as when a contact mentions a competitor or is leaving their company.

Key Moments

Einstein ________ consists of Einstein Sentiment and Einstein Intent. Together, these APIs harness and make sense out of unstructured data from text to help better understand your customers.

Language

Einstein ___________- helps reps prioritize leads so they can focus on what's most likely to convert.

Lead Scoring

When we talk about ____________, we're referring to a specific technique that allows a computer to "learn" from examples without having been explicitly programmed with step-by-step instructions.

ML (machine learning)

Einstein __________ allows you to use rules-based and predictive models to provide anyone in your business with intelligent, contextual recommendations and offers.

NBA (Next Best Action)

refers to the interaction between computers and human language.

NLP (Natural language processing)

Einstein ____________ extracts and contextualizes objects in images.

Object Detection

Let's say you're a company who has loads inventory in warehouses. Your teams can take photos of the inventory, and Einstein______________ can identify how many of certain items there are, so your team can accurately plan when to order more, saving on unnecessary spending.

Object Detection

Einstein _____________ gives reps intelligent updates about opportunities so they can win more deals.

Opportunity Insights

Einstein __________ helps sales managers identify at-risk opportunities and helps reps prioritize deals based on how likely they are to close

Opportunity Scoring

Einstein ____________ is a simple point-click wizard that allows you to make custom predictions on your non-encrypted Salesforce data, fast. You can create predictions for any part of your business—across sales, service, marketing, commerce, IT, finance, and even HR—with clicks, not code.

Prediction Builder

The Einstein ____________ is a tool that tells you whether you meet the requirements for specific Sales Cloud Einstein features.

Readiness Assessor

_____________ create copies of your Salesforce org in a separate environment. Use them for development, testing, and training, without compromising the data and applications in your production org.

Sandboxes

Let's say you work for a clothing company, and it has launched a new line of sweatshirts. You want to help your marketers understand how customers feel about your new line of sweatshirts. With Einstein Language, you can build an application that takes in information about the line of sweatshirts, like: what the sweatshirt line is called, what colors are included, what sizes are included, the materials, the locations it has been sold in, etc. Then, Einstein can surface through social media to see whether people post about the product and what is said about the product. Using positive and negative filters from Einstein _________, your marketers understand who likes or dislikes the sweatshirts, and why they do, so that they can adjust their marketing tactics accordingly.

Sentiment

The Einstein _____ API classifies text into positive, negative, and neutral classes to understand what the words people use can tell us about how they're feeling.

Sentiment

________ bias reproduces the results of past prejudice toward historically marginalized groups.

Societal

Einstein _________ consists of Einstein Object Detection and Einstein Image Classification. Together, these APIs harness and make sense out of unstructured data from images to help employees classify them at scale.

Vision

Einstein _____________ are a set of APIs and services for Salesforce developers to use to add deep-learning capabilities to any application, ultimately allowing end users to classify images and extract meaning from text.

Vision and Language

with Einstein _____________, your company can declaratively build a branded experience to allow customers to speak into their smart speakers and get updates on their order status, without having to pick up the phone or log into a portal.

Voice Bots

An ________ is a process or set of rules that a computer can execute.

algorithm

When data are labeled according to stereotypes, it results in _________ bias. Search most online retailers for "toys for girls" and you get an endless assortment of cooking toys, dolls, princesses, and pink. Search "toys for boys," and you see superhero action figures, construction sets, and video games.

association

While companies that create AI can explain the processes behind their systems, it's harder for them to tell what's happening in real time and in what order, including where bias can be present in the model.

black box phenomenon (describes AI's lack of transperancy)

AI algorithms can learn from _______ by recognizing patterns used to generate rules or guidelines to follow

data

Humans create ________ bias when they interact with or intentionally try to influence AI systems and create biased results. An example of this is when people intentionally try to teach chatbots bad language.

interaction

When data are incorrectly labeled or categorized or oversimplified, it results in _________ bias.

measurement (EX: using pictures of only black dogs and brown cats in a training dataset, so the AI recognizes a brown dog as a cat)

When you have trained an algorithm with training data, you have a ______.

model

In deep learning, sophisticated algorithms are run against a lot of data to create ___________. These learn from the data provided and can then return predictions for new data. For example, given enough data, these can analyze text and make decisions about what the text means.

neural networks

There are so many different combinations of follow-up tactics to create for different scenarios for all businesses, so having _______ automatically surfaced in Salesforce, straight to your users helps take the guesswork out of their day.

propositions

The data used to test how well a model is performing is call ________ dataset.

test

In machine learning, ________ is the process by which algorithms are combined with data to create a model. The algorithms "learn" from the data you provide, and that learning is encapsulated in the model.

training

The data used to train a model is called a _________ dataset.

training