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Integrate the 21st Century Lunch Bell into your Modern
Workplace
Thomas Gölles - @thomyg
Stephan Bisser - @cloudguy_pro
SharePoint Saturday Zurich 26.5.2018
Thanks to our Sponsors <3
Thomy
Head of Modern Workplace Solutions
Co-Organizer of SharePoint Saturday Vienna (#SPSVIE), Office
365 Meetup Graz, Office 365 Meetup Vienna
http://www.modernworkplacesolutions.rocks/
@thomyg
Stephan
• Consultant @SOLVION (O365 & Azure)
• Microsoft AI MVP
• P-TSP @Microsoft for Azure
• AI (Cognitive Services & Bots)
• Azure & O365
• Soccer
@cloudguy_pro
AskCloudguy
www.cloudguy.pro
stephan@cloudguy.pro
Agenda
1 Little bit of background 2 “Bussiness Problem”
3 Tech geek out 4 DEMO
Our Office in Graz, Austria
This was
Thomy‘s view
before he
switched
rooms
Lunchtime at our office (around 10:45)
Yummy
This is
Thomy‘s view
after he
switched
rooms (now)
Possible solutions
• Create a recurrent event in Outlook
• “Ping” a colleague everyday
• Stand up and have a look
• Use technology to solve the problem
MOCADESYMO was born
• Penny: Well, you know, it’s the Cheesecake Factory. People order
cheesecake, and I bring it to them.
• Leonard: So, you sort of act as a Carbohydrate Delivery System.
• Penny: Yeah, call it whatever you want, I get minimum wage.
Mobile
Monitor
MOCADESYMO
MOCADESYMO‘s view
1. Raspberry PI camera takes photo of food truck, after it has arrived
2. Paspberry PI uploads the taken image into an Azure Blob Storage
3. Raspberry PI triggers an Azure Function after the image has been uploaded successfully
4. Azure Function calls the Custom Vision API in order to check wether the food truck is present or not
5. If the Custom Vision API responds with a high probability that the food truck has arrived, the Azure Function sends a notification to Teams
6. Users can ask the Lunchbell Bot in Teams wether the food truck has arrived or not or if it is still present
7. Azure Bot Service checks the entries in an Azure Table Storage where the arrival and departure time is stored
Architecture of the 21st century lunchbell
Bots & Cognitive Services
Chatbots 101
“a computer program designed to have a
conversation with a human being, especially over
the internet” *
* https://dictionary.cambridge.org/dictionary/english/chatbot
Microsoft Bot Framework
Microsoft Cognitive
Services
Custom Vision Service
• Upload images
• Upload your own labeled images, or
use Custom Vision Service to quickly tag
any unlabeled images
• Train
• Use your labeled images to teach
Custom Vision Service the concepts you
want it to learn
• Evaluate
• Use simple REST API calls to quickly tag
images
with your new custom computer vision
model
• Active learning
• Images evaluated through your custom
vision model become part of a
feedback loop you can
use to keep improving your classifier
Normal State98,53 % True100 % True99,9 % True
Language Understanding
[ $LunchBell.Object ] [ $LunchBell.Operation ]
„Has the food truck arrived?“
www.luis.ai
Has the food truck arrived?
Intent = CheckArrivalState
LUIS
SharePoint Portal
Demo Case
Evaluation Form
http://mvp.ms/SPSZurich2018
This survey is anonymous, but you can voluntarily enter your
name and email address for a chance to win a license of Nintex
Workflow Cloud.
Consent is necessary to participate to the lottery.
Thank you for attending!

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SharePoint Saturday Zurich 2018 21st century lunchbell

  • 1. Integrate the 21st Century Lunch Bell into your Modern Workplace Thomas Gölles - @thomyg Stephan Bisser - @cloudguy_pro SharePoint Saturday Zurich 26.5.2018
  • 2. Thanks to our Sponsors <3
  • 3. Thomy Head of Modern Workplace Solutions Co-Organizer of SharePoint Saturday Vienna (#SPSVIE), Office 365 Meetup Graz, Office 365 Meetup Vienna http://www.modernworkplacesolutions.rocks/ @thomyg
  • 4. Stephan • Consultant @SOLVION (O365 & Azure) • Microsoft AI MVP • P-TSP @Microsoft for Azure • AI (Cognitive Services & Bots) • Azure & O365 • Soccer @cloudguy_pro AskCloudguy www.cloudguy.pro stephan@cloudguy.pro
  • 5. Agenda 1 Little bit of background 2 “Bussiness Problem” 3 Tech geek out 4 DEMO
  • 6. Our Office in Graz, Austria
  • 7. This was Thomy‘s view before he switched rooms
  • 8. Lunchtime at our office (around 10:45)
  • 10. This is Thomy‘s view after he switched rooms (now)
  • 11. Possible solutions • Create a recurrent event in Outlook • “Ping” a colleague everyday • Stand up and have a look • Use technology to solve the problem
  • 12. MOCADESYMO was born • Penny: Well, you know, it’s the Cheesecake Factory. People order cheesecake, and I bring it to them. • Leonard: So, you sort of act as a Carbohydrate Delivery System. • Penny: Yeah, call it whatever you want, I get minimum wage. Mobile Monitor
  • 15. 1. Raspberry PI camera takes photo of food truck, after it has arrived 2. Paspberry PI uploads the taken image into an Azure Blob Storage 3. Raspberry PI triggers an Azure Function after the image has been uploaded successfully 4. Azure Function calls the Custom Vision API in order to check wether the food truck is present or not 5. If the Custom Vision API responds with a high probability that the food truck has arrived, the Azure Function sends a notification to Teams 6. Users can ask the Lunchbell Bot in Teams wether the food truck has arrived or not or if it is still present 7. Azure Bot Service checks the entries in an Azure Table Storage where the arrival and departure time is stored Architecture of the 21st century lunchbell
  • 16. Bots & Cognitive Services
  • 17. Chatbots 101 “a computer program designed to have a conversation with a human being, especially over the internet” * * https://dictionary.cambridge.org/dictionary/english/chatbot
  • 20. Custom Vision Service • Upload images • Upload your own labeled images, or use Custom Vision Service to quickly tag any unlabeled images • Train • Use your labeled images to teach Custom Vision Service the concepts you want it to learn • Evaluate • Use simple REST API calls to quickly tag images with your new custom computer vision model • Active learning • Images evaluated through your custom vision model become part of a feedback loop you can use to keep improving your classifier Normal State98,53 % True100 % True99,9 % True
  • 21. Language Understanding [ $LunchBell.Object ] [ $LunchBell.Operation ] „Has the food truck arrived?“ www.luis.ai Has the food truck arrived? Intent = CheckArrivalState
  • 22. LUIS
  • 24.
  • 25.
  • 27. Evaluation Form http://mvp.ms/SPSZurich2018 This survey is anonymous, but you can voluntarily enter your name and email address for a chance to win a license of Nintex Workflow Cloud. Consent is necessary to participate to the lottery.
  • 28. Thank you for attending!

Notes de l'éditeur

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