Agenda Content understanding • Automation • Demos • Q&A •
Joining us today Sean Squires Naomi Moneypenny Anupam Francis
Content understanding A process for ingesting digital and image/paper content to recognize, extract and process information.
Project Cortex Your knowledge network in Microsoft 365 Connect and manage Tap into shared topics, Intelligently categorize content to improve content and automate resources and experts in security and compliance processes the context of your work Microsoft Graph & Microsoft AI Content Services 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 Microsoft 365 Microsoft Search Project Cortex Where end users discover and curate connections Topic cards Topic pages Topic center Content center Where Project Cortex makes connections How end users process new Microsoft Graph AI content Where Project Cortex gets data Content Connected Microsoft 365 Built in intelligence Capture engines connectors content Including security Managed metadata & Forms processing and compliance computer vision Machine teaching
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 Manual Document Form processing Object detection understanding Data entry and labor- Taught by your Customize for Smart, right out of the box intensive processing subject matter experts your org’s forms Any content Capture content types and Capture content types and Process digital content - metadata from contracts, metadata from purchase photos, scans, resumes, other orders, applications, other receipts, business cards, unstructured documents structured documents videos with OCR & text
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 Tag content automatically with precise terms for search, workflow, and compliance Discover enterprise content Coherent across Microsoft 365 based on terms Improved enterprise content Consistent tagging experience type discovery, use and with contextual term enforcement for consistent suggestions and Auto Tagging metadata schemas across tenant
New taxonomy & content type user experiences Modern admin experience for Updated controls with improved search, filtering taxonomy & content types and term suggestions
New taxonomy & content type capabilities Term store analytics Content types available from modern library UX; support to push via hub sites Reports on term store composition & trends on operations 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
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