Agenda

• Search • Azure Cognitive Search • Better together • Q&A Joining us today

Bill Baer Liam Cavanagh

Microsoft Search in Intelligent search for the modern workplace Modern work brings new challenges

Increasing Overwhelming Continuous time demands amounts of data interruptions

People spend 80% of their time People spend 20% of their work People are switching tasks collaborating, 63% lack week searching for information, every 40 seconds, take 20+ confidence in decision making 59% struggle to find information minutes to refocus based on available insights and our workplaces are changing…

With growth in data, The traditional IT role is Expectations morphed The best-run companies and limited attention spans, shifting from managing to want knowledge and are supporting decision- finding information is hard servers to empowering users answers, not just data making at the edge Intelligent search across Microsoft 365… Find experts & answers with Microsoft Search

What our customers are telling us Microsoft Search solves these challenges

Finding experts Cost of knowledge transfers Lack of confidence in & knowledge drain insights

Surfacing conversations, questions & answers

Finding experts outside Serendipitous encounters the immediate team in the remote workplace Personalization and relevance Ubiquitous, Actionable, Flexible and Trusted

Empowering users & organizations with Powerful Search to take back the lost time & productivity. in Bing in Office.com in SharePoint in Edge in Windows Microsoft Search One capability. Every search experience. in PowerPoint in Outlook + AI enriched in OneDrive in Stream in in Word in Teams in OneNote Unparalleled foundation for Microsoft Search & AI: Microsoft Graph

Dynamics 365

World Organizational Individual knowledge knowledge knowledge

entities in Bing Office 365 LinkedIn members 2.5B 200M 500m+ Microsoft Search for your organization Microsoft Search is included with your Microsoft 365 subscription

Available across The privacy, security Improves individual Microsoft 365 apps & compliance productivity and and services you expect team effectiveness

Unified Customizable search Extensible with administration of experiences with PnP Graph APIs search and discovery Modern Search Web in Microsoft 365 Parts and SharePoint Framework Microsoft Search features Built on the Microsoft Graph and using Bing technology, Microsoft Search gives your employees the ability to easily find:

Files and apps People Conversations Sites, answers and Groups Location and resources floorplans Contextual and Someone’s role Relevant topics in Office 365 groups relevant files and within the company, Microsoft Teams Curated bookmarks by name or by Addresses, maps, apps (Power BI) on what they’ve been and Yammer chats help them navigate members, then and directions to SharePoint, working on, org quickly to internal browse shared company buildings OneDrive for charts, and ways to sites and tools, content Business, and more contact them – even while Q&A’s give when you search by them quick answers their nickname without additional clicks

Azure Cognitive Search – Value Proposition

Fully Built-in AI Customizable Secure and managed Compliant Platform-as-a-Service management free keyword search faceting language analyzers geospatial support suggestions/auto-complete customizable scoring proximity search synonyms cognitive skills etc.

Overview Microsoft Search

Microsoft Search enables unified search capability within the Microsoft 365 productivity apps and broader Microsoft ecosystem. Microsoft Search Introducing Microsoft Search helps users find the right answers, people, and content to complete their tasks in the app they’re already working in. Over time, Microsoft Search will be available in more apps across Microsoft 365. With Microsoft Search:

Users get relevant Users don’t need to results from the app remember where where they search. information is located as searching spans local, cloud and other file locations.

Microsoft Search uses Bing provides results insights from the from within their Microsoft Graph to organization in Normalized search experience show results that are addition to the public relevant to each user, Web results. showing permissions- based results. Overview Azure Search

Azure Search is a Search-as-a-Service (SaaS) cloud solution that gives Introducing Azure search developers APIs and tools to add a rich search experience over private, heterogenous content in Web, mobile, and enterprise apps. Azure Search exposes functionality through a simple REST API or .NET SDK that masks the inherent complexity of information retrieval:

Create intuitive search Create search apps experiences with facet for specific use cases; navigation and filters, geo-search supports a synonyms, autocomplete, “find near me” and text analysis experience, and multi- lingual search is Platform for developers supported

Build a search index Take advantage of containing your data artificial intelligence only, sourced from (AI) enrichments to multiple content types extract text and and platforms features from image files, or entities and key phrases from raw text Cognitive Search capability in Azure Search Introducing cognitive search Cognitive Search brings new enrichment layer in Azure Search indexing that finds latent information in non-text sources and undifferentiated text, transforming it into full text-searchable content in Azure Search. Its a concrete implementation of the ingest-enrich-explore pattern:

Pulls data from a Uses natural language variety of Azure data processing skills for sources and applies a entity recognition, set of composable language detection, cognitive skills key-phrase extraction, text manipulation, and sentiment detection

Includes image Uses Cognitive processing skills like Services AI optical character algorithms to find recognition (OCR) and patterns, features, and identifies visual features characteristics in source like facial detection, data, returning image interpretation, structures, and textual image recognition, or content attributes like colors or image orientation Better together tutorial – Extending SharePoint Syntex enriched content to Azure Cognitive Search

End-to-end tutorial on how to enrich content in SharePoint Syntex and then extend to Cognitive Search and build an end-user application

Cognitive Search

Link to tutorial: Search Enabled LOB Apps using SharePoint Syntex and Cognitive Search Rationalizing when to use each service

Azure Search Microsoft search (SaaS) Microsoft Search (SaaS) PlatformAzure- asSearch-a-Service (PaaS) (PaaS)

• Improve user productivity by quickly and • Helps developers develop their own accurately searching relevant cloud search solutions over private and information within Office 365 heterogeneous content productivity apps • Creates and integrates search solutions • Use a single solution to find files, across mobile, Web, and enterprise apps internal sites, people and groups, locations and directions, conversations, • Consolidate searchable content into a and answers single, fast index that’s queryable using simple-to-advanced syntax • Brings you natural language understanding, instant query • Adds capabilities to extract text and predictions, contextual results, and more. features from image files, or entities and key phrases from raw text. Target audience: app users Target audience: app developers Which search tool to use when

Azure Cognitive Search Microsoft Search PaaS solution, highly flexible and customizable SaaS solution, pre-built and out of the box Target Audience Target Audience For developers who need to add search capabilities to mobile, web or For business analysts and subject matter experts who want leverage AI cloud native applications. for search and content tagging without requiring code

For organizations looking to build a search solution (mostly external/ For organization already Microsoft 365 as their principal content services customer facing apps) that requires high level configuration, or if you are platform, with most usage coming from tenant-defined users in the an ISV looking to embed search into a solution organization. Use cases Use cases External applications such as websites. Content experiences and management for data stored inside Applications that require a high degree of customization (for instance, by Microsoft 365 adding custom skills to run any code as part of the ingestion process). Internal applications built using Graph or SPFx against SharePoint/Teams hosted data Applications where the data already resides in SharePoint, Teams and/or M365

Examples Examples AutoTrader – Drives consumer product search across their external Mott Macdonald – Leveraged Project Cortex to add advanced capabilities website to the knowledge management system to classify content in SharePoint Adobe – Embedded Azure Cognitive Search into Adobe Experience and add people of yammer groups based on Interest. Manager Healthcare management organization – auto tagging receipts for search Walmart – Uses to power search for an audit and compliance application enrichment and expense processing Which search tool to use when - questions

Can an Azure user immediately use SharePoint Syntex? No, they would need to become Microsoft 365 customers first.

Is there a ready-made Azure Search connector/indexer for Microsoft 365 content? Partners have developed custom solutions that connect SharePoint to Azure Cognitive Search. In addition, Azure Cognitive Search engineering is working on a SharePoint connector. It is expected to release (in preview) by the end of 2020 (calendar year).

Does Azure Cognitive Search also allow automatic tagging? Yes, through easily built in Cognitive Skills, developers can automatically tag.

Does SharePoint Syntex allow automatic tagging? Yes, and the Syntex content centers are based on the metadata and content management services originally developed for SharePoint. Can I build a search solution using Azure Cognitive Service without no code? No, Azure is a developer platform and Cognitive Search required developers to be able to cod

Project Cortex roadmap

Available soon Early next year Top of mind

SharePoint Syntex (Available Now!) SharePoint Syntex • Interconnected experiences of topics, • Document understanding • Enhanced capabilities expertise and metadata • Build AI models to extract metadata • Expanded model types, central from documents such as model management • Content Assembly & Adaptation agreements & forms • Advanced content experiences Experiences • Content center • Solution & business process focused • Automated Q&A • New destination & functionality • Taxonomy • Taxonomy • Seeding into Knowledge, • Advanced capabilities, Graph API improvements across Microsoft 365

Knowledge Knowledge • Topic experiences • Topic experiences • Topic pages and cards in SharePoint • Across Microsoft 365 • Auto identification of projects • Auto identification of more entities, • Control sources of automated across connected data indexing for topics in your organization Resources

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Project Cortex

Resource Center: aka.ms/ProjectCortex Blog: aka.ms/ProjectCortex/Blog Virtual Hub for Knowledge: aka.ms/virtualhub/knowledge

SharePoint Syntex

SharePoint Syntex page: aka.ms/SharePointSyntex Video: aka.ms/SharePointSyntex/Video Demo: aka.ms/SharePointSyntex/Demo Knowledge & Content Services Office Hours

Mar 25- Jun 3 Solution overview, Readiness and preparation Jul 22 Microsoft Inspire news and updates Aug 12 Business case for Project Cortex Sept 30 news & updates Oct 14 Financial Services roundtable Nov 18 SharePoint Syntex Dec 16 Gartner CSP MQ, SharePoint adoption, AMA Jan 20 Microsoft Search and Azure Cognitive Search Feb 24 Knowledge discovery

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