#Spscalgary 2016 Make Graph Data useful for you company

Vincent Biret

Make Graph Data useful for your company

2 | SharePoint Saturday Calgary – 23 APR 2016

Sponsors

CalSPOUG


About MeVincent BIRETOffice Servers And Services [email protected]/vince365

Products Team Tech Lead

Montreal


Why Should you care? 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


Who’s that session for?

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


Today’s objective (s) 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


Agenda Graph Theory MS Graph Delve MS Graph API Machine learning theory MS Azure ML Conclusion


Ready?

Graph Theory

WHAT IS THE GRAPH?


Is that a graph?

Category 1 Category 2 Category 3 Category 40

1

2

3

4

5

6

Title

Series 1 Series 2 Series 3


And that?Sales

1st Qtr 2nd Qtr 3rd Qtr 4th Qtr


That’s a Graph!


Why Graphs?

RDBMS’s Suck!......

At doing what they are not meant for.


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


Why are computers so good with Graphs? Graphs can be represented by

matrices Very easy to compute by CPU’s Low memory usage

The Microsoft Graph


Why A Microsoft Graph?

Data is in silosAccessing different workloads is hard

Search doesn’t workPoints out new things


What’s Microsoft’s Graph? Unified API’s to:

Authentication Files Groups Sites Mails…

Search The Office Graph


Resources

Graph.microsoft.io

Demo

DELVE

MS Graph API


Structure 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

Demo

MS Graph API

Machine Learning Theory


State of the art


Hightlights

Machines can be trained to “guess stuff”

“They” can get better at doing it Not AI but a step towards it Not that new to the business

world


Supervised learning 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


Classification Used to predict outcomes with few possible

values

Eg “married”, “divorced”…. Eg “rev > 50K”, “rev < 50k”…


Regression Used to predict continuous

values

Eg Potential profit of something Eg Potential time to achieve

something


Unsupervised learning You have data without expected

results

Build the experiment with a feedback loop

Train it

Put it in prod


Clustering 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


« Matchmaker » Ideal to match data together

Things like Movies you might like Items others bought Online dating (matching you with another person) …

Azure Machine Learning


Why So important to dev’s?

Now your applications can become “clever” !!!


Highlights Machine Learning* as a service

* Mostly predictive and semantic analytics

ML Studio

Not an Expert System


Methodology Get data Make an experiment Test it Generate a model Publish an API Integrate with your App

Demo

ML Studio

Conclusion

TIME TO SAY GOODBYE


Conclusion 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


Questions & Answers / Thanks

Vincent Biret, @baywet, bit.ly/vince365 [email protected]


Sponsors

CalSPOUG

Useful Resources

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Housekeeping Join us for SharePint, Networking and Expo

Time: 3:05pm - 6:00pm Complimentary appetizers and cash bar

Technology

#Spscalgary 2016 Make Graph Data useful for you company