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.

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

5. Microsoft Bot Service

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….

13. Attachments
Rich Cards
Actionable Cards

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
• …

22. Security
Users
Azure
Active
Directory
SSO BOT
OpenID
JWT
OpenID
BOT
Service

23. Sample Architecture (Microsoft)

24. Use Cases
 Team collaboration
 Sharing rich content
 Data update notifications
 Push notifications
 Self Service
 Expose knowledge bases

25. THANK YOU!
linkedin.com/in/samfernandoau
www.slideshare.net/shamiraf