Slide deck of my Super Power Saturday London 2020 session.

3. 🦄 Technology consultant @
🦄 Co-organizer
🦄 MSFT BizApps MVP
🦄 Dutchy
🦄 Book nerd
🦄 Lover of all things Unicorn
🦄 2 cats – 1 husband
Rebekka Aalbers
#PowerAddict
#LessCodeMorePower

4. Target audience
You want to know more about
AI Builder
You have (some) experience with
the tools in the Power Platform
(CDS, Apps, Automation)

5. Goal
Understand How, Why, and
When to use AI Builder

6. Agenda

7. Why & What
AI Builder

8. But first!
Let’s generate some demo data!
• Tweet something using #AIBuilder
• Use a language you like (Latin script)

10. Why do I like the
Power Platform
tools
– including AI
Builder?
Evolved to become a Consultant at a
Microsoft Partner
Landed by accident in the
IT-department of an end customer
Started out as business user

11. Guided point-and-click AI
applications
AI for every skill level Embedded within the Microsoft Power
Platform and Dynamics 365

12. Public Preview June 10, 2019
GA on October 1st, 2019
incl. Dynamics 365 Sales Enterprise integration
Key changes • AI Builder add-on and trial offers
• AI capacity management in PPAC
• GA scenarios are solution aware
• Scalability and reliability of GA scenarios
GA scenarios now require trial
or paid capacity
GA Preview

13. 2 Model types
Custom models
Prebuilt models

14. Select the model

15. Step by Step Guidance in the UI
ADD YOUR DATA TRAIN THE
MODEL
CHECK THE
PERFORMANCE
PUBLISH & USE

16. Prediction
Use your database and this AI model to determine the
likelihood of specific business outcomes.
Form Processing (preview)
Read, extract, and process data from scans, emails, PDFs, and
images.​
Object Detection (preview)
Build an AI model that recognizes and counts visual objects.​
Text Classification (preview)
Build an application that reviews, tags, and classifies large
volumes of text to track sentiment, improve customer
experiences, and mine valuable insights.​
Custom models

17. Prediction - GA
Determine the likelihood of specific business outcomes – Boolean (Yes/No – True/False)
Input: Data in 1 CDS entity
Output: prediction written back into prediction field in CDS
Use automatic schedule in CDS and in Power Automate
Specifics: Uses CDS Entity
Only 2 outcome possibilities (Yet!)
Data requirements: Minimum of 50 records in total and 10 records historical outcome for each class.
Best result with at least 1000 records.

18. Be aware of
• Data quality – no empty fields / faulty data
• Data quantity – enough data with options that
reflects the expected outcome
• Unwanted bias – unselect irrelevant or misleading
fields
• Accuracy score between 50 – 100%
BUT! You are the one to determine if the
accuracy makes sense!

19. Form processing - Preview
Read, extract, and process data from scans, emails, PDFs, and images.​
Output: Extracted key-value pairs and table data.
Use in Power Apps Canvas & Power Automate
Specifics: JPG, png or PDF – max 4 MB – Latin alphabet
High quality images – between 530 x 100 and 4200 x 4200 pixels
Data requirements: 5 – 10 sample documents with the same layout.
Must contain keys above or to the left of the value.

20. Not supported
(Yet!)
•Complex nested tables
•Check boxes or radio buttons
•PDF documents > 50 pages
•Fillable PDF’s

21. Object detection - Preview
Build an AI model that recognizes and counts visual objects.​
Output: Name and count of detected objects
Use in Power Apps Canvas & Power Automate
Specifics: JPG, png or BMP – max 6 MB
Data requirements: minimum of 15 images per object – preferably 50 or more.

22. Lighting Object size
Camera angle Background
Use diverse images

23. Text classification- Preview
Build an application that reviews, tags, and classifies large volumes of text to track sentiment,
improve customer experiences, and mine valuable insights.​
Output: List of tags with certainty score in separate entity
Auto generated on schedule in CDS & used in Power Automate
Specifics: Uses CDS Entity
Languages: English, French, German, Dutch, Italian, Spanish, Portuguese
Data requirements: Text and tags in text fields in same entity – All tags in one field using a delimeter
Max 5000 characters per text item - Minimum of 50 text items per tag.

24. Tips for your
training data
• No high rate of missing values
• Check for typos
• Check for inconsistent capitalizations
• Check for inconsistent or incorrect labels
Data quality
• Remove duplicate or irrelevant fields
• Remove fields with high correlation to the outcome
Unwanted bias
At least 100 records per tag
Balanced use of tags in your data
Training data similar to actual text

25. Business card reader​
Pull contact information from business cards, store this information in
your database, and import it into your CRM system.
Sentiment analysis (preview)
Detect positive, negative, neutral and mixed sentiment in social
media, customer reviews or any text data you want to analyze.
Key phrase extraction (preview)
Extract the main points and key phrases in text documents.
Language detection (preview)
Use this model to identify the predominant language of a text
document.
Text recognition (preview)
Extract embedded printed and handwritten text from documents and
images into machine-readable character streams.
Prebuilt models

27. Éric Sauvé
@ZePowerDiver
http://bit.ly/AIBuilderWW

28. 2020 Release wave 1
New AI Models
• Prebuilt Text classification
model
• Anomaly detection
• Image moderation
• Receipt scanning
Usability
• AI Builder connector
• Entity extraction model
• New Power Apps controls
• New prebuilt Flow templates
• ‘Try’ feature for the keyword
extraction model.
AND MORE…

29. Demo

30. Availability,
Administration
& Licensing

31. Availability per region

32. Custom model
maintenance &
deployment

33. Update custom model
Create new version
• From published version
• Or
• From last trained version
Change settings or training
data
Publish
or
• Only for:
• Prediction model
• Text classification model
Retrain
model

34. Deployment through solutions*
PROD
Production
environment
Managed
solution
• Use model
TEST /QA
Sandbox
environment
Managed
solution
• Test model
DEV
Sandbox
environment
Unmanaged
solution
• Create model
• Train model
• Improve model

35. Using the model
PUBLISH THE MODEL SET RUN SCHEDULE* SHARE MODEL

36. Roles & security  CDS security roles
ENVIRONMENT MAKERS
CREATE AI MODELS
CDS USERS
USE MODELS
SYTEM ADMINS & CUSTOMIZERS
ACCESS ALL MODELS

37. AI Builder License
AI Builder Capacity Add-on
$ 500 / subscription
1 million service credits
Tenant level
Credit consumption
Training models
Using models
Credit calculation ???? – Calculator not available yet
Credit allocation
Allocate capacity to environments in
Power Platform admin center

38. Q & A

39. Feedback
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feedback. Log-in to the
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and click on the session
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will help the speaker and
improve our future
events for the
community.

40. Join the Microsoft Business Applications Communities
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earn recognition for your contribution. Get answers to
complex questions, learn from engaging discussions,
read informative blogs, view webinars, and find
product use examples in galleries.
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