SharePoint Syntex brings advanced content services solutions into your existing SharePoint environment but is it something that will help you? In this session we will go through what SharePoint Syntex is, how it works, and why it could be an important part of your enterprise in Microsoft 365.
7. What is your knowledge culture,
how do people share and
collaborate?
What and where does knowledge
currently sit in your organization and
where are the gaps and overlaps
across organizational departments,
geographies, applications and
repositories?
What solutions have you already
implemented around knowledge?
9. “The average interaction worker spends almost 20%
of time, searching for information.
A searchable record of knowledge can reduce, by as
much as 35%, the time employees spend searching
for company information”
Source: McKinsey and International Data Corp
The social economy: Unlocking value and productivity through social technologies
10. Content classification and curation:
$1.2 million to $3.3 million
Improved discovery:
$42 million to $127 million
Reduced legacy tools & professional services:
$864,482 to $1.2 million
Source: Forrester (July 2020)
New Technology: The Projected Total Economic Impact™ of Project Cortex
13. Microsoft Knowledge & Content Services
A people-centered platform combined with AI facilitating management of the entire content lifecycle
Microsoft 365
Microsoft Graph
Power Platform Search
SharePoint
Compliance
SharePoint Syntex
14. Microsoft Knowledge & Content Services
Microsoft Viva Topics SharePoint Syntex
Topic card
Microsoft 365 Apps
Topic page Topic page
Topic page
Topic center home page
Topic center
Content centers
content processing
Metadata and
content compliance
Knowledge & Content Services
Microsoft Graph and AI
Microsoft Graph content connectors
15. Microsoft Knowledge & Content Services
Microsoft Viva Topics SharePoint Syntex
Topic card
Microsoft 365 Apps
Topic page Topic page
Topic page
Topic center home page
Topic center
Content centers
content processing
Metadata and
content compliance
Knowledge & Content Services
Microsoft Graph and AI
Microsoft Graph content connectors
Curation
Where users explore topics and experts manage topics
Discovery
Where users connect to knowledge
(content and experts) about topics
Processing
Where process owners build models, ingest content and organize process-
related content, and users access content as part of business process
Identification
Automatically discover relationships
across content & conversations
Tagging
Extract information from and
about content
Governance
Manage security and
compliance of content
Topic | Skill | …
Extension
Ingest knowledge from external
services and data repositories
17. What SharePoint Syntex can bring
Bring your critical organizational content into the flow of work with AI-driven
tagging and automatic security and compliance label application
Prebuilt solutions for common scenarios like contract management and digital
asset management
Optimize your time with precise natural language and form-based search
Build new files quickly with data-driven content assembly
18. SharePoint Syntex breakdown
Content understanding and
content processing using AI
models to extract information to
automatically apply metadata for
knowledge discovery and reuse
Establish consistent tagging with
the taxonomy services and content
types and turn content into
intelligent templates and build
new documents from your data
with content assembly
Find documents and key facts with
precise metadata and natural
language search and identify usage
of terms across your environment
AI-powered content services
Content discovery
Content services
Content intelligence
19. SharePoint Syntex is breathing new life into metadata
Match extracted
content to managed
terms for consistent
metadata application
Taxonomy extractors
Understand the
composition of your term
store to better manage
Term store reports
Ensure that your critical
content types are
automatically added to
new lists in hubs (and
their associated sites)
Content type push
Define richer import
files with a new format
based on SKOS, with
support for properties
and multiple term sets
New import format
21. Conventional ML
• “Black box” AI
• Large training sets
• Human expertise reviews results later
Large
content set
AI identifies
patterns
AI applies
tags
Experts QA
the AI model
Evolution of content AI
22. Machine teaching
• Human-centric AI
• Small sample sizes
• Experts review results early
Experts tag
a small
sample set
AI encodes
human
expertise as
tagging rules
New content
is tagged
Evolution of content AI
23. AI services and capabilities to make it easier to build content understanding and classification
apps directly into the content management flow using SharePoint Syntex
Any content, aided by
use of managed terms
and content types
Manual
Process digital content -
photos, scans, receipts,
business cards, videos
with OCR & text
Object detection
Capture content types
and metadata from
purchase orders,
applications, other
structured documents
Form processing
Capture content types
and metadata from
contracts, resumes,
other unstructured
documents
Document
understanding
Interactive Pre-built, automated Custom, assisted Custom, compliant
Better together – People + AI
24. 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
Train on 5-10 PDF, Office,
mail files, including negative
examples
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 PDF, JPG, PNG
format, totaling
50MB/500pp
Model type based on file format and use case
25. Differences
Document understanding = unstructured content
• Extract sentences or specific regions of the
document
• Models created in content center
• Models applied to any library you have access to
• Not limited by AI builder credits
Form processing = structured content
• Relies on power platform & AI builder
• Forms or invoices
• Admins enable per site
• Models created in AI Builder in a library
26. Centralized management for Syntex document understanding and forms processing
Integrated home for managing SharePoint
Syntex, AI models and processes in Microsoft
365
Inherits content management and user
experiences from SharePoint
Develop and publish AI models for structured
and unstructured documents
Monitor classification and process with
embedded analytics
Process and share content with Power
Automate and rich formatting
Syntex Content Center
28. Automatically generate standard repetitive business MS Word documents
such as contracts, statements of work, or sales pitches.
• Start with an existing document
• Fill in data from free form or metadata from lists or libraries
• Create the new document filled out with data entered
Content Assembly
30. Setting up in your org
Global admin or SP admin to start
Configure in M365 admin center
Assign licenses
What sites should have form processing?
Who owns the content center?
AI Builder credits
300 or more Syntex licenses = one million credits
31. Leverage MIP label policies for sensitivity and retention
Retention label defines record policy based
on document age or external event
Sensitivity label sets DLP, encryption, sharing,
conditional access policies
Labels can be applied interactively by users
Labels can be applied automatically by
SharePoint Syntex AI models
Analytics and file plans provide scaled
management of label usage and policies
ContentType:Contract
Compliance integration
32. Manage metadata,
taxonomy and
content types
Process
Discover
Govern
Seamless tagging with
contextual suggestions
Integration with content
understanding and compliance
MIP sensitivity and
retention labels
Improved precision and consistency
33. Key Syntex Advantages
Increase search accuracy
Built on metadata
Enable auto-classification on file upload
Scan & capture
Decentralize model creation to power users
Enable users to create their own models to auto-classify
Enhanced metadata management
Use more metadata and report on it
34. Other things to know
Focus on the extraction of metadata to drive business process
What business process you want to automate with metadata?
Dependent on consistently formatted documents
Best when extracting from the first page
35. Preparing for Syntex
Understand capabilities of Syntex
• Add the Syntex free trial to a tenant
• Identify/assign technical lead
• Review resources for training
• Utilize built in examples & tours
Assess your platform readiness
• Analyze SharePoint Online usage
• Understand taxonomy & content types
• Perform SharePoint Online
modernization
• Review content migration & search
integration
Discover use cases with the business
• Utilize surveys and questionnaires
• Analyze existing content and processes
• Perform a knowledge workshop
• Focus on business value and ROI
Develop strategic ownership/budget
• Establish sponsor of knowledge
program
• Secure resourcing & licensing
• Establish tactical governance for
knowledge
• Assign organizational roles
Perform Syntex pilot
• Set clear pilot goals
• Decide on pilot period length
• Choose testing group
• Perform onboarding and comms for
pilot
Build Syntex deployment plan
• Utilize learnings from pilot
• Establish a deployment team
• Document implementation architecture
• Build governance and training
36. Things to think about
Define and identify content types
What types of content within the org
What makes them unique
Map to your business processes
Prepare term store
Think about the taxonomy
What needs to be pushed
Who will mange the terms
37. Microsoft Confidential
Syntex licensing
These require Syntex licenses
• Applying a document understanding model to a library.
• Unlicensed users can be granted access to a content center and can create document understanding models there but
can't apply them to a document library.
• Creating a form processing model via the entry point in a library
• Uploading content to a library where a document understanding or form processing model has been applied
• Running a document understanding model on-demand
• Use premium taxonomy services.
• Premium taxonomy services comprise SKOS-based term set import, pushing enterprise content types to hub-associated
sites, and term store reports.
Unlicensed users can be granted access to a content center and can create document understanding models there
but can't apply them to a document library.