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WELCOMESHAREPOINT SATURDAY
OTTAWA
December 3rd, 2016
Vincent Biret
Make Graph Data useful for your company
House keeping
SPS Ottawa is made possible by our Sponsors!Platinum
Gold
Silver
Bronze
Bronze
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ShareP ntSummerhays Grill
5:30 pm1971 Baseline Road (corner of Woodroffe)
Please drink responsibly . We will be happy to call a cab for you
Vincent BIRETOffice Servers And Services MVP@baywetbit.ly/vince365
Products Team Tech Lead
Montreal
About Me
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Graph and Machine learning are going to be game changers for businesses in next 10 years
IOT is the next big wave
Not caring now would be like not caring about the cloud back in 2008
Why should you care?
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Users who are tired of “stupid” and isolated applications
Developers who want to ship awesome apps!
Deciders who want to make something out of their data
Who’s that session for?
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Understand what’s a/the graph Understand what are MS Graph and Delve Understand why it’s a game changer for your
business Learn how to use it in your applications Understand what’s Azure Machine learning Learn how to use it in your applications
Today’s objectives
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Graph Theory MS Graph Delve MS Graph API Machine learning theory MS Azure ML Conclusion
Agenda
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Ready?
What is The Graph?
Graph Theory
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Is That a graph?
Category 1 Category 2 Category 3 Category 40
1
2
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5
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Title
Series 1 Series 2 Series 3
Sales
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr
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That’s a Graph!
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RDBMS’s Suck!....
At doing what they are not meant for.
Why Graphs?
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The Property GraphVincent
Desk: E43
Phone: 514 444 4444
Extension: 275
Negotium
Street Address: Montreal
Creation : 1/1/00
Technical Advisor
Must do: technical advising
Advantages: better business cards
Developper
Must do: development
Advantages: better keyboard
Works asSince 1/7/14
Works asSince 12/7/12
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Graphs can be represented by matricesVery easy to compute by CPU’sLow memory usage
Why are computers so good with Graphs?
The Microsoft Graph
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Data is in silosAccessing different workloads is hard
Search doesn’t workPoints out new things
Why a Microsoft Graph?
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What’s Microsoft’s Graph?
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WebHooksOpenType extensions
SharePoint (Sites/Lists/ListItems)
Org contactsDirectory
(everything in AAD)
Identity Protection
Tasks (planner)OneNote
Latest News?
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Graph.microsoft.ioResources
Delve
Demo
MS Graph API
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Data Nodes Actors Edges
Some Edges Modified Viewed TrendingAround WorkingWith OrgManager OrgColleague
Edges properties ActorId ObjectId Action Type Time Weight
Node properties SharePoint Search Schema Object model
Structure
MS Graph API
Demo
Machine Learning theory
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State of the art
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Machines can be trained to “guess stuff” “They” can get better at doing itNot AI but a step towards itNot that new to the business world
Highlights
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You have training data with expected results
You have control data with expected results
Build the experiment with a feedback loop
Train it
Put it in prod
Supervised learning
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Used to predict outcomes with few possible values
Eg “married”, “divorced”….Eg “rev > 50K”, “rev < 50k”…
Classification
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Used to predict continuous values
Eg Potential profit of somethingEg Potential time to achieve something
Regression
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You have data without expected results
Build the experiment with a feedback loop
Train it
Put it in prod
Unsupervised learning
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Used to detect natural grouping patterns of data(ie: data that might be related together)
Produces groups of data and puts the data in it
Clustering
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Ideal to match data together
Things likeMovies you might like Items others boughtOnline dating (matching you with another person)
…
« Matchmaker »
With great power comes great responsabilities
Azure Machine Learning
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Now your applications can become “clever” !!!
Why so important to dev’s?
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Machine Learning* as a service
* Mostly predictive and semantic analytics
ML Studio
Not an Expert System
Highlights
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Get dataMake an experimentTest itGenerate a modelPublish an API Integrate with your App
Methodology
ML Studio
Demo
Time to day goodbye
Conclusion
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Better integration between apps/workloads (Graph)
Better understanding of the data by apps (and predictive) (ML)
Better user experience/productivity
Happier users
Money saved for the company
Conclusion
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Vincent Biret @baywetBit.ly/vince365vbiret@outlook.com
Questions & Answers / Thanks
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