Enterprise Content Sharing Bots & AI
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The document discusses enterprise data sharing through the use of Microsoft bots, highlighting challenges such as disparate systems and unstructured data. It introduces the Microsoft Bot Framework and Azure Bot Service, designed to enhance productivity and improve user experience by enabling smart, multi-channel interactions. Additionally, it touches on bot functionalities, security measures, and potential use cases in team collaboration and self-service scenarios.
Enterprise Content Sharing Bots & AI
- 1. ENTERPRISE DATA SHARING USING BOTS S A M F E R N A N D O
- 2. Sam Fernando Digital Solutions Manager at Oakton Technology Specialist in the Microsoft Technologies Adelaide Dynamics 365 User Group – President Regular speaker at Adelaide .Net & Azure User Groups Travelling + Music + Photography
- 3. Agenda Enterprise Challenges Microsoft Bot Framework Demo Content Types Security Sample Architecture Use Cases
- 4. Enterprise Challenges Disparate systems Unstructured data Lack of single point of access Lack of self service Speed of data access Remote & mobile workers
- 6. Azure Bot Service Released in 2016, GA in December 2017 Available in Azure AU regions New canvas for developers New opportunities for businesses Personal way to access, discover & interact Microsoft actively investing and working with channel providers Machine learning Integration
- 7. Bot Builder • A framework to develop bots • SDKs • .Net, NodeJs MS App Reg Portal/Azure • Register • Manage • Central portal Channels • Ways of exposing the bots • Skype • Facebook • Web Chat • etc Cognitive • Make bots smarter • Self learn • Natural interaction • LUIS
- 9. Why Bots for the Enterprise? Enhance productivity Wider reach – multi platform & multi channels Engage in a natural way Reduce human intervention Improve user experience Internal collaboration Single pane of glass for data
- 10. Framework Capabilities Connect line of business applications (i.e Dynamics, SAP, Maximo, Service Now, etc) Dialogs Form flow Rich messaging Hand off to agents Tooling support and DevOps
- 11. Key Channels
- 12. It’s demo time….
- 14. LUIS – Language Understanding INTENT ENTITIES FILE RECIPIENT Share File File.docx John What the user says Share File.Docx with John What s the status of ABC Project What are my opportunities
- 15. Hosting Options Functions Bot • “Serverless” resourcing • Based Azure Functions • Pay per invocation • Consumption based • Auto scaling Web App Bot • Dedicated resources • Larger RAM/CPU options • Network isolation • Manual or auto scaling • Fixed price / App Service
- 16. USER BOT SERVICE SUBSCRIBE Subscriber ID Conversion ID Token BUSINESS LOGIC Proactive Message Pattern
- 17. What else can a Bot do? Accept Uploads AuthenticateTake Payments and many more…
- 18. How do you make a bot smart?
- 19. Azure Cognitive Services Started as a Microsoft Garage project “Project Oxford” Abstract set of RESTful APIs Powered by Azure Machine Learning platform Comprehensive documentation Evolving portfolio Built by experts at Microsoft Research, Bing & Azure
- 20. Vision • Computer Vision • Face • Emotion • Video • Custom Vision Speech • Translator • Speech < > Text • Speaker Recognition • Custom Speech Language • LUIS • Text Translate • Text Analytics • Bing Spell Check • Content Moderator
- 21. Knowledge • QnA Maker • Custom Decisions Search • Bing Web • Visual Search • News Search • Video Search • Auto suggest Labs • Gesture Tracking • Ink Analysis • Anomaly Finder • …
- 24. Use Cases Team collaboration Sharing rich content Data update notifications Push notifications Self Service Expose knowledge bases