2017 01-11 intelligent search and intranet - chihuahuas vs muffins v1
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This is a presentation for people looking to improve Enterprise Search and Intranets. It provides details around Microsoft Search, Azure Search and Elastic Search and how to take a basic search platform and transform it into what Gartner calls Insight Engines and what Forrester calls Cognitive Search and Knowledge Discovery.
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2017 01-11 intelligent search and intranet - chihuahuas vs muffins v1
- 1. Chihuahuas vs Muffins – Getting immediate value out of Cognitive Services and the AI Machine Learning Revolution for your Intranet and Enterprise Search Don Miller BA Insight Intelligent Intranets: Connected, Search-Driven & Mobile
- 3. Focused on Search and SharePoint since 2004 Longtime SharePoint • 13 Years in SharePoint Search Ecosystem • Records Management, Web Analytics and Web Content Management About Don Miller Relevance is subjective! Search then Content! Passionate About • Search - SharePoint • Family - Kona • Outside Activities, Music, Wine, Sports • Jimmy V – Laugh, Think, Cry – Make a difference! Analytics Preview Auto Classification Connectors UI/UX And SmartHub
- 4. About BA Insight Our software quickly connects SharePoint users to needed information Software portfolio includes: – Connectivity Secure connectors and federation to over 60 content systems – Applications - “SmartHub” - Personalize the user experience to boost productivity – Classification - Autotagging, metadata generation, and text analytics – Analytics Provide insight into how SharePoint is being utilized Hundreds of successful implementations including:
- 5. BA Insight Product Portfolio Smart Analytics AutoClassifie r Content from 60+ Enterprise Systems Cognitive Services (AI, Machine Learning) Search Index(es) Search for Dynamics Connectors Expertise Locator Smart Previews SmartHub
- 6. Don Miller – My 3 Lessons Learned to Share • Information - Consistency equals transparency, transparency allows you to surface the right information • Explicit vs Implicit • Relevance is subjective
- 8. 4 Must Dos
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- 10. 10 Why our intranets/search need to get smarter
- 11. Intranets Do Multiple Things Every Intranet does multiple things, and too often there is a disconnect between the intranet design goals and what users want. WHAT WILL YOU DO WITH YOUR INTRANET?
- 12. INTRANETS AREN’T ALONE… You often need to think more broadly about the Intranet and its fit and purpose in your digital workplace.
- 13. SharePoint mobile app New & announcements Navigate & search sites and portals online & on prem Discover activities & people Actionable alerts SharePoint home for the web Your Intranet in your Pocket 13
- 14. Long Tail of Intranet/Search Success
- 15. News Forums Content Navigation Tools/Applets Analytics Why Can’t Everything in an Intranet be Dynamic?
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- 17. 17 You know how to do SEO for www search – –
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- 19. Internet Sets the Bar for Enterprise Search
- 20. Key Attributes of Great Internet Sites Tagged Content must be tagged to be found - SEO Applications Targeted to meet user needs “Search & Refine” Guide users to what they seek Authoritative Promote content from credible sources
- 21. Search & Refine Categorisation Map Related Content Refiners & Sorting Results with Metadata & Imagery Search Navigation Find
- 22. Search Provides A Unified View
- 23. Making O365 search intelligent using Azure Cognitive Services more ˇ Start with understanding how it works
- 24. Matching IntentContent Context Content Enrichment UX Connections Query Augmentation Internet Sets the Bar for Enterprise Search, How do we make search happen on the intranet?
- 25. Insight Data Sets Trending Documents People I 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
- 26. How does the search box work? Used Documents Trending Documents Sites I Use Suggested Sites Beautiful Bergen Contoso Norway Kathrine Hammervold
- 27. Metadata Drives Great User Experiences Documents from many sources All client or matter-relevant documents are integrated. Rich MetaData Content annotated automatically – concepts, categories, citations, matters, clients, etc Navigation Controls Explore, Discover, Drill-down Personalization It knows what to present to whom
- 28. Where is the Metadata in Delve?
- 29. So….Idon’tneed metadata,right? Delve doesn’t have refinement, so I don’t need metadata, right? Chart courtesy of xkcd
- 30. 30 Where is the Intranet heading?
- 31. The 4 Must Dos
- 32. Nearly every Intranet/Search will need to add 1. Connectivity Connectors to content & systems outside of O365 2. Structure Information Architecture & Tags for navigation & findability 3. Context Personalization through behavioural information
- 33. 33 Connectivity to Many Enterprise 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 Plus a proven architecture and process for creating new connectors to complex systems
- 34. Only SharePoint and OneDrive Content Surfaces in Delve, InfoPedia, etc. via the Office Graph
- 35. SAP / Oracle OpenText/Filenet/ Documentum Content from Other Systems Surfaces in Delve, InfoPedia, etc. via the Office Graph
- 36. Nearly every Intranet will need to add 1. Connectivity Connectors to content & systems outside of O365 2. Structure Information Architecture & Tags for navigation & findability 3. Context Personalization through behavioural information
- 37. AutoClassifier rules-driven core, combined with learning-based modules Enhanced Content Enriched with Metadata and Content Types Search Visualization Workflow
- 38. Nearly every Intranet will need to add 1. Connectivity Connectors to content & systems outside of O365 2. Structure Information Architecture & Tags for navigation & findability 3. Context Personalization through behavioral information
- 39. 40 SmartHub - Context equal personalization
- 40. The fourth must do for an intranet’s success 1. Connectivity Connectors to content & systems outside of O365 2. Structure Information Architecture & Tags for navigation & findability 3. Context Personalization through behavioral information 4. Measure Personalization through behavioral information
- 41. 42 Search/Intranet Goals – Incremental steps
- 42. Chihuahuas for Precision and Recall
- 43. BA Insight Product Portfolio Smart Analytics AutoClassifie r Content from 60+ Enterprise Systems Cognitive Services (AI, Machine Learning) Search Index(es) Search for Dynamics Connectors Expertise Locator Smart Previews SmartHub
- 44. Feed content from over 60 enterprise systems Search Index(es) Search UI Connectors Smart Analytics Extensible content processing Pluggable query and results pipelines Auto Classifier Cognitive Services SmartHub “Architectural” View
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- 46. Typical SharePoint OotB Intranet Low User Adoption creates Pain for Organisations SharePoint Intranet
- 47. Typical Intranet Search: Ten Blue Links Simple keyword queries do not produce desired results
- 48. 49 Personalizing information in alignment with roles based on picture tags
- 49. Personalisation Source: Mando – http://www.mando.agency/
- 50. Metadata Driven
- 53. Hit Highlighting
- 55. LFB – Not just user profile – authored content J&J – Metadata – its hard but possible through automation Apache – Connectivity and combining structured and unstructured information – Wash, Rinse, Repeat Take Aways 56
- 56. 57 What does this mean?
- 57. A new wave of 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/
- 58. Renewed focus on Intranet refresh projects Microsoft investment in O365 and Office Graph New technology - Machine Learning Intelligent Search – Experts, Projects & People Key Trends 59
- 59. Building blocks of your intranet Biz Apps Intelligent rollups Social highlights Hub sites Themes Site designs Across your sites… Within your sites…
- 60. Agent Bots Cognitive Machine 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
- 63. 64 The End
- 64. 65 Addendum 1
- 65. How quickly can we improve from 30%
- 66. Chihuahuas for Precision and Recall
- 68. Provides these 4 as Results
- 69. How quickly can we improve to 90%
- 70. Addendum 2 – More examples 71
- 71. BA Insight Product Portfolio Smart Analytics AutoClassifie r Content from 60+ Enterprise Systems Cognitive Services (AI, Machine Learning) Search Index(es) Search for Dynamics Connectors Expertise Locator Smart Previews SmartHub
- 72. Content Content Processing Search Index / Graph Search UI Enhancing Content with Cognitive Services Query Processing Content Enrichment
- 73. AutoClassifier rules-driven core, combined with learning-based modules Enhanced Content Enriched with Metadata and Content Types Search Visualization Workflow
- 74. Adding Text Analytics to 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
- 75. Adding Translation to Content User Uploads Content Event Fires Content Text Analysis Translation – Copy existing content and translate to specified language save in SharePoint Shows in O365 search Create new file/content for specific language
- 76. Image Search User Uploads Content Event Fires Computer Vision Image Processing – recognize objects and text inside images Shows in O365 search Add metadata to item Extract image(s) from documents
- 77. Image Classifier and Search project libraries and issue detection Search Visualization Workflow
- 78. Today’s Session – Recap - Translates
- 79. Today’s Session – Recap – to
- 80. For More Information Check out resources at: www.BAinsight.com Reach me via email at: dmiller@BAinsight.com Connect with me on LinkedIn at: https://www.linkedin.com/in/donaldtmiller/
Notas do Editor
- © 2014 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
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- Something that I experience a lot as part of our product stack at BA Insight, we make connectors to all of these systems and more It should certainly be a key element of any intranet project - the ability to bring in content from any content source regardless of location.
- When you connect information into O365, it means that this content will also show up in Delve and Office graph too This is something that I am really excited about
- his is such a big area where we could talk for hours on. Often not seen directly as it goes on behind the scenes but should forms a major part of any intranet project.
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- Thirdly – context based on content
- Thirdly – context based on content
- Typical intranet looks like this
- Typical intranet search looks like this Its even worse and not attractive
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- Hype index
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- 1 Million examples or 500 examples or tomato plant flower – 2 Dozen, but it is going to improve over time, what is the long tail? Is the long tail acceptable. AI Needs models/examples to learn from
- 1 Million examples or 500 examples or tomato plant flower – 2 Dozen, but it is going to improve over time, what is the long tail? Is the long tail acceptable.
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