Build AI-Powered Predictions with Einstein Prediction Builder
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This document provides an overview of Einstein Prediction Builder and how to use it to build machine learning predictions. It discusses defining a use case by identifying a business problem that could be solved with a prediction. It then covers planning a prediction by determining what type of prediction (binary or numeric), defining the dataset, and identifying positive and negative examples. The document demonstrates this process using an example of predicting late invoices. It also provides resources for learning more about Einstein and machine learning.
Build AI-Powered Predictions with Einstein Prediction Builder
- 1. Build AI-Powered Predictions with Einstein Prediction Builder
- 2. Forward-Looking Statement Statement under the Private Securities Litigation Reform Act of 1995: This presentation contains forward-looking statements about the company’s financial and operating results, which may include expected GAAP and non-GAAP financial and other operating and non-operating results, including revenue, net income, diluted earnings per share, operating cash flow growth, operating margin improvement, expected revenue growth, expected current remaining performance obligation growth, expected tax rates, the one-time accounting non-cash charge that was incurred in connection with the Salesforce.org combination; stock-based compensation expenses, amortization of purchased intangibles, shares outstanding, market growth and sustainability goals. The achievement or success of the matters covered by such forward-looking statements involves risks, uncertainties and assumptions. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, the company’s results could differ materially from the results expressed or implied by the forward-looking statements we make. The risks and uncertainties referred to above include -- but are not limited to -- risks associated with the effect of general economic and market conditions; the impact of geopolitical events; the impact of foreign currency exchange rate and interest rate fluctuations on our results; our business strategy and our plan to build our business, including our strategy to be the leading provider of enterprise cloud computing applications and platforms; the pace of change and innovation in enterprise cloud computing services; the seasonal nature of our sales cycles; the competitive nature of the market in which we participate; our international expansion strategy; the demands on our personnel and infrastructure resulting from significant growth in our customer base and operations, including as a result of acquisitions; our service performance and security, including the resources and costs required to avoid unanticipated downtime and prevent, detect and remediate potential security breaches; the expenses associated with new data centers and third-party infrastructure providers; additional data center capacity; real estate and office facilities space; our operating results and cash flows; new services and product features, including any efforts to expand our services beyond the CRM market; our strategy of acquiring or making investments in complementary businesses, joint ventures, services, technologies and intellectual property rights; the performance and fair value of our investments in complementary businesses through our strategic investment portfolio; our ability to realize the benefits from strategic partnerships, joint ventures and investments; the impact of future gains or losses from our strategic investment portfolio, including gains or losses from overall market conditions that may affect the publicly traded companies within the company's strategic investment portfolio; our ability to execute our business plans; our ability to successfully integrate acquired businesses and technologies, including delays related to the integration of Tableau due to regulatory review by the United Kingdom Competition and Markets Authority; our ability to continue to grow unearned revenue and remaining performance obligation; our ability to protect our intellectual property rights; our ability to develop our brands; our reliance on third-party hardware, software and platform providers; our dependency on the development and maintenance of the infrastructure of the Internet; the effect of evolving domestic and foreign government regulations, including those related to the provision of services on the Internet, those related to accessing the Internet, and those addressing data privacy, cross-border data transfers and import and export controls; the valuation of our deferred tax assets and the release of related valuation allowances; the potential availability of additional tax assets in the future; the impact of new accounting pronouncements and tax laws; uncertainties affecting our ability to estimate our tax rate; the impact of expensing stock options and other equity awards; the sufficiency of our capital resources; factors related to our outstanding debt, revolving credit facility, term loan and loan associated with 50 Fremont; compliance with our debt covenants and lease obligations; current and potential litigation involving us; and the impact of climate change. Further information on these and other factors that could affect the company’s financial results is included in the reports on Forms 10-K, 10-Q and 8-K and in other filings it makes with the Securities and Exchange Commission from time to time. These documents are available on the SEC Filings section of the Investor Information section of the company’s website at www.salesforce.com/investor. Salesforce.com, inc. assumes no obligation and does not intend to update these forward-looking statements, except as required by law.
- 3. Connect with Us! @SalesforceAdmns #AwesomeAdmin admin.salesforce.com Salesforce Admins Salesforce Admins Salesforce Admins
- 4. Watch the Recording Find it right here on: trailhead.com/live This is being recorded!
- 5. Join the Admin Webinar Group for Q&A! Don’t wait until the end to ask your question! • We have team members on hand to answer questions in the webinar group. Stick around for live Q&A at the end! • Speakers will tackle more questions at the end, time-allowing bit.ly/AdminWebinarGroup
- 6. Rebecca Saar Director, Admin Marketing Salesforce @RebeccaSaar Rajiv Patel Einstein Product Marketing Manager Salesforce @_rajivpatel_ Today’s Speakers
- 7. Today’s Agenda Machine Learning Overview Einstein Prediction Builder How to Define a Use Case Plan Your Prediction Example and Demo Resources Q&A
- 9. What is Machine Learning? Machine Learning is using past data to predict the future Computer algorithms find patterns in the historical data to apply to new data and make predictions Historical Data Your historical records For example, opportunities won/lost in the last 12 months New Data Records to Predict For example, new opportunities
- 10. Data ingestion, prep and storage Modeling and Data Science Infrastructure to deploy and monitor Integrated in business processes Hidden complexity What you want Intelligence All the other things you have to manage But Building Intelligent Apps Is Hard
- 11. Salesforce Einstein Your Smart CRM Assistant DISCOVER hidden insights and patterns in your data PREDICT outcomes for every function and industry RECOMMEND the best action, offer, or engagement AUTOMATE business processesand workflows
- 12. Salesforce Einstein: Your Smart CRM Assistant Einstein for Sales Einstein for Service Einstein for Commerce Einstein for Marketing Einstein Search Everyone can talk to Salesforce Admins & Devs can build AI-powered apps Salesforce Users are more productive with AI Einstein Vision Einstein Language Einstein Prediction Builder Einstein Discovery Einstein Voice Einstein Next Best Action 10B+ predictions per day
- 14. What is it? A wizard where you can define a machine learning problem for the Einstein Platform to solve Who is it for? Salesforce Admins What is the value? Easy to create predictions, iterate on them and use predictions in production Einstein Prediction Builder Point, Click, Predict
- 15. Subtitle placeholder What Einstein Builder Predicts For Numeric Predictions Leverage historical information to predict a number Binary Predictions Leverage historical information to answer a Yes/No question Scores Returned: ● $400,000 ● 30 days ● $1,200,000 (welcome to the Bay Area..) Scores Returned: ● The likelihood a record churns ● The likelihood a lead converts ● The likelihood a student graduates Example Questions: ● Is this customer going to churn? ● Is this lead going to convert? ● Will this student graduate on time? Example Questions: ● How much is this deal likely worth? ● How long will this deal take to close? ● How much will this house sell for?
- 16. Example of How a Customer Uses Einstein Prediction Builder
- 17. 1. Define your use case 2. Plan your prediction 3. Fill out the wizard 4. Review your scorecard 5. Enable your prediction 6. Use model in production Einstein Prediction Builder Lifecycle
- 18. How to Define A Use Case
- 19. How to Define A Use Case What is the problem my company is facing? Only 35% of my invoices are paid on time. How do I get more payments on time? What type of prediction will help? Predict which invoices are likely to be paid late. Can this prediction be phrased as a yes/no or numeric question? Will this prediction be paid late? How will I use this prediction? Send task to account managers for invoices that are likely to be late. How do I measure if the prediction is successful? Percentage increase in customers paid before 30 days, percentage reduction in average days to pay.
- 21. Building a Binary Prediction (Yes/No) - +-+ - ? Example set (Training set) Records to predict (Scoring set) ?
- 22. Will An Invoice Be Late? Dataset Segment Positive examples Negative examples Prediction Set Prediction Set: Records that have a balance but are not yet due Object: Invoice Segment: N/A Positive examples: Records not paid on time Negative Examples: Records paid on time (Payment date is after due date OR it’s past due date and there is still a balance) (Invoice balance is 0 and last payment date was before due date)
- 23. Einstein Prediction Builder in Action
- 24. Einstein Prediction Builder Goes Freemium :: Enterprise Edition and above orgs can build up to 10 predictions and enable one for FREE :: Prediction can be built on on any standard or custom object :: For more predictions, customers can purchase the Einstein Predictions license ($75/user/month) or Einstein Analytics+ license ($150/user/month) EPB Is Now Freemium!
- 25. Next Steps & Additional Resources
- 26. Start Building Your Own Predictions! Einstein Prediction Builder is Now Freemium! :: Enterprise Edition and above orgs have the one FREE prediction enabled :: Trailhead Developer Edition Org Link sfdc.co/predictionDEorg
- 27. Resources to Continue Learning About Einstein! Check out content on the Einstein Hub Learn about the Einstein Champions Program Join the Einstein Trailblazer Community Group einstein-hub.com sfdc.co/einsteinchampions sfdc.co/einsteingroup