This document provides information about Microsoft SharePoint Syntex, a new AI capability for SharePoint. Some key points:
- SharePoint Syntex uses AI and machine teaching to understand content, extract metadata, and apply tags to improve search and collaboration.
- It offers features like content classification, extraction of key facts, automated application of metadata and sensitivity labels, and integration with Power Automate for content workflows.
- Models are created through either a no-code machine teaching approach using small sample sets or a custom model builder. Models can then automatically tag new content.
- SharePoint Syntex becomes generally available on October 1, 2020 as an add-on for Microsoft 365 E3/
6. AI must be
democratized to
accelerate digital
transformation
Apps + AI
Automated
Business users
Paper-based
Manual
Experts
App-based
Digital
Business users
we are
here
7. But most of them
lack access to data
scientists and
pro-developers
9. Content services that work
the way you do…
SharePoint Syntex uses advanced AI and machine teaching to amplify human expertise, automate content
processing, and transform content into knowledge. It delivers intelligent content services that work the way you do.
Getting Ready for Microsoft SharePoint Syntex
10. Features
Content understanding
Create AI models that capture expertise to classify and extract information and automatically apply metadata.
Enriched content and metadata
Find key facts in your content to improve search and teamwork.
Automatic content classification
Use advanced AI to capture and tag structured and unstructured content.
Content compliance
Manage content inside and outside of Microsoft 365 to improve security and compliance with integrated MIP sensitivity and retention labels.
AI-powered machine teaching
Build no-code AI models that teach the cloud to read content the way you do.
Content processing
Automate the capture, ingestion, and categorization of content and streamline content-centric processes using Power Automate.
Streamlined content processes
Integrate with Power Automate to build workflows that leverage extracted metadata.
Content protection and management
Enforce your security and compliance policies with automatically applied sensitivity and retention labels.
11. What our customers are telling
Modernize content services with Microsoft365
Labor intensive, error prone
data entry & interpretation
Compliance, records &
retention management
Disconnected silos across
LOBs & legacy systems
Managing and applying
metadata & taxonomies
Microsoft 365 solves these challenges
Content understanding
Content processing
Content governance
12. SharePointSyntex
Connect and manage content to
improve security and governance
with integration to Microsoft
Information Protection.
Create no-code AI models that
capture expertise to classify and
extract information to automatically
apply metadata for knowledge
discovery and reuse.
Automate capture, ingestion and
categorization of content and
streamline content-centric
processes using Power Automate.
13. Evolution of contentAI
Traditional AI
“Black box” AI
Large training sets
Human expertise reviews results later
Machine teaching
Human-centric AI
Small sample sizes
Experts review results early
Large content set AI identifies patterns AI applies tags Experts QA the
AI model
Experts tag a
small sample
set
AI encodes
human
expertise as
tagging rules
New content is
tagged
14. Better together: People +AI
Interactive
New AI services and capabilities to make it easier to build content understanding and
classification apps directly into the content management flow using Microsoft SharePoint Syntex
Object detection
Process digital content - photos,
scans, receipts, business cards,
videos with OCR & text
Form processing
Capture content types and
metadata from purchase orders,
applications, other structured
documents
Document understanding
Capture content types and
metadata from contracts, resumes,
other unstructured documents
Manual
Any content, aided by use of
managed terms and content
types
Pre-built, automated Custom, assisted Custom, compliant
15. Model type based on file format & usecase
Document Understanding
• Created in content center
• Model created in native interface
• Used for unstructured file formats
• Trainable classifier w/ optional extractors
• Can be applied to multiple libraries
Form Processing
• Created from document library
• Model created in AI Builder
• Used for semi-structured file formats
• Settable classifier
• Restricted to a single library
Train on 5-10 PDF, Office, mail
files, including negative examples
Train on PDF, JPG, PNG format,
totaling 50MB/500pp
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39. Microsoft SharePointSyntex
General availability
• October 1, 2020
Pricing
• Add-on to M365 E3/E5 Plans,
priced per user
• Includes 1MM AI Builder monthly
credits for form processing, 300
users minimum
• 500 items indexed by content
connectors per user, pooled
Learn more
• https://aka.ms/SharePointSyntex