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Use O365 and Azure Cognitive Services for intelligent search
The document discusses how BA Insight uses Microsoft Office 365 and Azure Cognitive Services to enhance search capabilities. It describes BA Insight's products that leverage cognitive services for intelligent search, including AutoClassifier for content enrichment and Smart Analytics for multi-media search. The document outlines how cognitive services can be applied to search through machine learning techniques to better understand content, user intent, and ranking.
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Use O365 and Azure Cognitive Services for intelligent search
- 1. Jeff Fried CTO, BAInsight Use Office 365 and Azure Cognitive Services for Intelligent Search October 2017
- 2. Longtime Search Nerd ⢠CTO,BA Insight ⢠Senior PM, Microsoft ⢠VP, FAST ⢠SVP, LingoMotors Jeff Fried Passionate About ⢠Search ⢠Search-driven applications ⢠Information Strategy ⢠Text Analytics ⢠Machine Learning Email: jeff.fried@bainsight.com Twitter: @jefffried Blog: www.DoMoreWithSearch.com
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- 5. Wait, isnât search ALREADYâintelligentâ?
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- 8. A new waveof Intelligent Search Engines? Machine Learning (ML), Natural Language Processing (NLP), Semantics, Cognitive, Artificial Intelligence (AI), Self-Learning, ⌠http://www.cmswire.com/information-management/intelligent-cognitive-ai-based-search-separating-hype-from-reality/
- 9. Forrester: âKeyword searchof the past has evolved into Cognitive Searchâ Forrester, June 2017
- 10. Evolution of enterprisesearch technology TODAYYESTERDAY TOMORROW Relevancy based on general criteria that compare how well a single item matches a query, compared to the rest of the index. Matching Content & Popularity By leveraging your personal activity, we can signal highly relevant content that would otherwise drown in the noise Personalized & behavior based Drive actionable insights Take action on data and empower decision making by understanding intention across many facets Scope & scale of Microsoft Graph Use machine learning to create insights from your data Construct pairs for questions & answers Query match quality in content or page Popularity of document or page Content metadata such as created date Bing entity extraction Understanding organizational priorities as well as your extended network Using AI for semantic understanding + +
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- 12. Latest Enhancements toSPO search
- 14. Making O365 searchintelligent using Azure Cognitive Services more Ë Start with understanding how it works
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- 16. Insight Data Sets Trending Documents PeopleI Work With Used Documents Email Files Contacts Groups Meetings Org Tasks File Enrichments Item Metadata # Activity History myGraph Sites I Use Suggested Sites Usage Statistics
- 17. How does thesearch box work? Used Documents Trending Documents Sites I Use Suggested Sites Beautiful Bergen Contoso Norway Kathrine Hammervold
- 18. Metadata Drives GreatUser Experiences Documents from many sources All client or matter-relevant documents are integrated. Rich MetaData Content annotated automatically â concepts, categories, citations, matters, clients, etc Navigation Controls Explore, Discover, Drill-down
- 19. Where is theMetadata in Delve?
- 20. SoâŚ.Idonâtneed metadata,right? Delve doesnât haverefinement Chart courtesy of xkcd
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- 23. Agent Bots CognitiveMachine Learning Augmented Reality Microsoft Cortana Bot Framework Cognitive Services - Vision - Speech - Language - Knowledge - Search - Labs Azure ML Cognitive Toolkit Hololens Google Google Assistant API.AI Cloud Vision API Cloud Video Intelligence Cloud Speech API Cloud Natural Language API Google Knowledge Graph Google Custom Search ML Advanced Solutions Lab Cloud ML Engine TensorFlow Glass at Work Daydream/Tango IBM Watson Virtual Agent Watson Conversation Watson APIs - Vision - Speech - Language - Data Insights Watson ML Service Apache SystemML Amazon Alexa Amazon Lex Rekognition Polly Amazon ML Apple Siri SiriKit Speech Core ML ARKit Facebook Facebook M ParlAI FastText CommAI Torch Oculus Rift The Cognitive Arms Race
- 24. Matching IntentContent Context Content Enrichment UXConnections Query Augmentation Making SharePointsearch intelligent with Cognitive Services more Ë
- 26. BA Insight ProductPortfolio Smart Analytics AutoClassifier Content from 60+ Enterprise Systems Cognitive Services (AI, Machine Learning) Search Index(es) Search for Dynamics Connectors Expertise Locator Smart Previews SmartHub
- 27. Content Content Processing Search Index / Graph Search UI EnhancingContent with Cognitive Services Query Processing Content Enrichment
- 28. AutoClassifier rules-driven core, combinedwith learning-based modules Enhanced Content Enriched with Metadata and Content Types Search Visualization Workflow
- 29. Adding Text Analyticsto Content User Uploads Content Event Fires Content Text Analysis Sentiment - Is text positive or negative? Key Phrases - What are people discussing in a single article? Topics - What are people discussing across many articles? Language - What language is text written in? Add metadata to item Shows in O365 search
- 30. Adding Translation toContent User Uploads Content Event Fires Content Text Analysis Translation â Copy existing content and translate to specified language save in SharePoint Shows in O365 search Create new file/content for specific language
- 31. Image Search User Uploads Content Event Fires Computer Vision ImageProcessing â recognize objects and text inside images Shows in O365 search Add metadata to item Extract image(s) from documents
- 32. Image Classifier andSearch project libraries and issue detection Search Visualization Workflow
- 34. Feed content fromover 60 enterprise systems Search Index(es) Search UI Connectors Smart Analytics Extensible content processing Pluggable query and results pipelines Auto Classifier Cognitive Services SmartHub âArchitecturalâ View
- 36. 37 Content is spreadacross lots of systems ⢠Aderant ⢠Amazon S3 ⢠Alfresco ⢠Box ⢠Confluence ⢠CuadraSTAR ⢠Elite / 3E ⢠EMC Documentum ⢠EMC eRoom ⢠Google Drive ⢠HP Consolidated Archive ⢠(EAS, aka Zantaz) ⢠HPE Records Manager/HP TRIM ⢠IBM Connections ⢠IBM Content Manager ⢠IBM DB2 ⢠IBM FileNet P8 ⢠IBM Lotus Notes ⢠IBM WebSphere ⢠iManage Work ⢠Jive ⢠LegalKEY ⢠LexisNexis Interaction ⢠Lotus Notes Databases ⢠Microsoft Dynamics CRM ⢠Microsoft Exchange ⢠Microsoft Exchange Public Folders ⢠Microsoft SQL Server ⢠MySQL ⢠NetDocuments ⢠Neudesic The Firm Directory ⢠Objective ⢠OpenText LiveLink/RM ⢠OpenText eDOCS DM ⢠Oracle Database ⢠Oracle WebCenter ⢠Oracle WebCenter Content (UCM/Stellent) ⢠PLC/Practical Law ⢠ProLaw ⢠Salesforce.com ⢠SAP ERP ⢠ServiceNow ⢠SharePoint Online ⢠SharePoint 2016 ⢠SharePoint 2013 ⢠SharePoint 2010 ⢠SharePoint 2007 ⢠Sitecore ⢠Any SQL-based CRM system ⢠Veeva Vault ⢠Veritas Enterprise Vault (Symantec eVault) ⢠West km ⢠Xerox DocuShare ⢠Yammer List of standard connectors, plus a proven architecture and process for creating new connectors to complex systems
- 38. Feed content fromover 60 enterprise systems Search Index(es) Search UI Connectors Smart Analytics Extensible content processing Pluggable query and results pipelines Auto Classifier Cognitive Services SmartHub Bots AR (hololens) apps Bots and AR
- 40. Better Search - dataenrichment - query augmentation - relevance - recommendations New Types of Search and Discovery - multi-media search - multi-lingual search - spoken language search - search bots - search in AR AI for Intelligent Search & Discovery
- 41. Content Content Processing Search Index Search UI ML appliedto search Query Processing Learning about content structure Learning about user intent Analytics Behavioral data to drive learning Learning to rank
- 42. BA Insight ProductPortfolio Smart Analytics AutoClassifier Content from 60+ Enterprise Systems Cognitive Services (AI, Machine Learning) Search Index(es) Search for Dynamics Connectors Expertise Locator Smart Previews SmartHub
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