Automating language in the workplace
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An introduction to Bots, Conversation as a platform and the Microsoft Bot framework.
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Automating language in the workplace
- 1. Automating Language in the Workplace
- 3. - Satya Nadella “OUR GOAL IS TO DEMOCRATISE A.I. TO EMPOWER EVERY PERSON AND EVERY ORGANISATION TO ACHIEVE MORE”
- 5. 85% * Each user have their own selection of those five, but mostly games, social networking or messaging apps Source: https://techcrunch.com/2015/06/22/consumers-spend-85-of-time-on-smartphones-in-apps-but-only-5-apps-see-heavy-use/ of consumer’s time on smartphone spent using 5 apps*
- 6. 1 2 3 4 5 6 7 8 9 10 Monthly Mobile Usage Source AppAnnie 2016 6 OF THE TOP 10 APPS USED ARE MESSAGING APPS
- 11. Cortana has skills truly personal across all your devices get things done Cortana relies on experts to get things done
- 12. Your personal digital assistant Cortana
- 16. Third-Party Bot Controls Query over database via Azure Search Form filling Q&A Customer’s business logic and dataBot Connector Web Chat Cortana Bing Direct LineSkype for Business Skype LUIS
- 17. O N E B O T M U L T I P L E C A N V A S E S
- 20. QnA Maker http://www.qnamaker.ai Extract questions and answers Extract all possible pairs of questions and answers from user provided content – FAQ URLs, documents and editorial content Test, train and publish Edit, remove or add pair before testing and training the knowledge base and publishing your knowledge base as an API endpoint Integrates with other APIs and solutions Use QnA Maker with Cognitive Services such as LUIS & create something as elegantly simple as a chat bot that answers FAQs, or as complex as an interactive virtual guide.
- 21. The ability to distil actionable information from images include detecting face, personalisation based on emotion and the ability to process video The ability to understand language using web scale models of conversational data, includes the ability to understand intent, sentiment and linguistic composition Ability to understand speech, including understanding who is talking and the capability to fine- tune the model for recognition for anyone, anywhere The ability to understand knowledge from information include entity linking, exploration and deriving recommendations from order data VISION SPEECH LANGUAGE KNOWLEDGE COGNITIVE SERVICES https://www.microsoft.com/cognitive-services/
- 22. WORLD LEADING OBJECT RECOGNITION POWERED BY 152 LAYER DEEP NEURAL NETWORK
- 23. { “entities”: [ { “entity”: “flight_delays”, “type”: “Topic” } ], “intents”: [ { “intent”: “FindNews”, “score”: 0.99853384 }, { “intent”: “None”, “score”: 0.07289317 }, { “intent”: “ReadNews”, “score”: 0.0167122427 }, { “intent”: “ShareNews”, “score”: 1.0919299E-06 } ] } Language understanding models “Find the latest on delayed flights”
- 24. VOICE RECOGNITION WITH 5.9% ERROR RATE REACHING HUMAN PARITY
- 26. Flexible infrastructure support for analytics Best of Microsoft research and open source Most comprehensive data science capabilities Easy to consume Artificial Intelligence Solutions Extensible applications
- 32. Azure IoT Cortana Intelligence Power BI PowerApps Microsoft Flow Common Data Service Word Excel OneNote Outlook SharePoint OneDrive for Business AppSource Versium Organisation Insights Data Export Service Provance
- 33. Purpose-built business applications Sales Actionable Insights Personal Engagement Customer Management Sales Performance Intelligence Customer Service Multi-channel engagement Self-Service and Communities Unified Experience Knowledge Base Intelligence Marketing * Field Service Optimised scheduling Service agreements Inventory management Mobile productivity Connected devices Customer Communications Intelligence Project Service Automation Solution selling Project planning Resource scheduling Mobile productivity Time + expenses Customer billing Intelligence Finance and Operations Procurement and sourcing Supply chain management Project accounting Human capital management Manufacturing Financial management Intelligence Retail Category management and merchandising Discounts and promotions Cloud and mobile POS Offline-capable store components Call Center & Catalog Sales E-commerce Loyalty management Customer-facing app Talent Hiring Onboarding Performance & Feedback Compensation and Benefits Personnel and Organizational Administration HR Compliance and Workforce Safety People Analytics and HR Reporting Leave and Absence
- 35. Configurable end-to-end business processes for Dynamics 365 Customer Service Features Case Management Self Service Portal Agent Enablement (Unified Service Desk) Integrated Social Engagement Knowledge Base Management Omni-Channel Communication Intelligence Scenarios Employee Self Service (HR / Help Desk) Customer / Partner Self Service Complaints and Issues Management Call Centre Public sector citizen services, e.g. issuing licenses Claims management Health & Safety management
- 40. Flexible infrastructure support for analytics Best of Microsoft research and open source Most comprehensive data science capabilities Easy to consume Artificial Intelligence Solutions Extensible applications
- 43. • Engage people in conversation; reduce cost of handling tasks, enrich jobs • Low cost entry point • Integrate AI, it’s easy • Build your first bot today! • Attend our next session on data and analytics
- 44. • Q and A Maker https://qnamaker.ai/ • Try Cognitive Services • Microsoft Bot Framework • Create a Bot documentation • AzureBot GitHub repository • Seeing AI video • Seeing AI AppStore • Jonathan Wade jonathan.wade@microsoft.com • Bhavik Merchant bhmerc@microsoft.com • Peter Schmidt peschmid@microsoft.com