Agenda

• Content understanding

• Automation

• Demos

• Q&A

Joining us today

Sean Squires Naomi Moneypenny

Anupam Francis

Content understandingA process for ingesting digital and image/paper content

to recognize, extract and process information.

Project Cortex

Your knowledge network in Microsoft 365

Intelligently categorizecontent and automateprocesses

Tap into shared topics,

resources and experts in

the context of your work

Connect and manage content to improve security and compliance

Content Services

Microsoft Graph & Microsoft AI

Taxonomy & Content Types

Project Cortex

Your knowledge network in Microsoft 365

Automatically classify content

Streamline content processes

Protect & manage content

Managed metadata evolved

Project Cortex architecture

Where end users discover knowledge

How end users process new content

Microsoft Search

Where end users discover and curate connections

Microsoft Graph AI

Where Project Cortex makes connections

Topic pages Topic center Content centerTopic cards

Microsoft 365

Project Cortex

Connected content

Built in intelligence Managed metadata & computer vision

Microsoft 365Including security and compliance

Where Project Cortex gets data

Capture enginesForms processingMachine teaching

Content connectors

Better together: People + AI

New AI services and capabilities to make it easier to build content understanding and

classification apps directly into the content management flow of Project Cortex

Object detectionForm processingDocument

understanding

Manual

Process digital content -

photos, scans,

receipts, business cards,

videos with OCR & text

Capture content types and

metadata from purchase

orders, applications, other

structured documents

Customize for

your org’s forms

Taught by your

subject matter experts

Capture content types and

metadata from contracts,

resumes, other

unstructured documents

Smart, right out of the boxData entry and labor-

intensive processing

Any content

Document understanding

Using advanced machine

learning techniques train a model

to classify files and extract

information from them.

These models are centrally

managed but can be applied to

any library across one’s tenant

Option to queue existing library

items for processing by applied

model

Form processing

Leveraging AI Builder – a new

Power Platform capability – one

can create models to classify

ingested semi-structured files

and extract key value-pair data

from them.

These models are created at the

target library (and not currently

available for reuse)

Project Cortex: Strengthening the metadata foundation

Coherent across Microsoft 365Discover enterprise content

based on terms

Consistent tagging experience

with contextual term

suggestions and Auto Tagging

Improved enterprise content

type discovery, use and

enforcement for consistent

metadata schemas across tenant

Tag content automatically with precise terms for search, workflow, and compliance

New taxonomy & content type user experiences

Modern admin experience for

taxonomy & content types

Updated controls with improved search, filtering

and term suggestions

New taxonomy & content type capabilities

Term store analytics

Reports on term store composition & trends on operations

Content types available from modern library UX; support

to push via hub sites

Availability of custom content types; enforcement on new libraries

New taxonomy Graph APIs – coming soon

Preview documentation

Sample code, operations, enumerators and more for Graph APIs

https://resources.techcommunity.microsoft.com/graph-apis-documentation/

Project Cortex Office Hours

Project Cortex Resource Center

Mar 25 Overview

Apr 8 FAQ

Apr 22 Readiness and Preparation

May 6 Knowledge experiences

May 20 Content understanding and MMS

Jun 3 Admin & configuration

Jun 17 TBD

We plan to continue Office Hours monthly

throughout 2020

Sign up at https://aka.ms/ProjectCortex for details

on upcoming calls

Visit the Project Cortex Office Hours page to download meeting invites