Intelligent Data Driven Applications that Learn and Adapt

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Description

Applications show intelligence when they can spot trends, react to unusual events, predict outcomes or recommend choices. Learn how to introduce intelligence traits into your apps including; establishing feedback loops, applying big data and machine learning techniques to classify, predict or otherwise analyze explicit and implicit signals, and operationalizing the full stack into the regular usage flow of the app. Most every day apps, from consumer to enterprise can deliver greater customer or business benefit by learning from user behavior and other signals. In this session we’ll take a pragmatic look at introducing real, useful data-driven intelligence into apps by walking through services, code and data needed to make it happen.
For more information, check out this course on Microsoft Virtual Academy:

Day:

1

Session Type:

Breakout

Code:

B857

Room:

Marriott Salon 6

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For more information, check out this course on Microsoft Virtual Academy:

The Discussion

  • User profile image
    NeroCore

    Very informative talk and 3 end to end scenarios explaining how to prepare data , build models , use them in mobile app. And how to wire everything up.  

    Thank you ! 

  • User profile image
    binoypatel

    Just amazing talk, really impactful and result oriented. Thanks for this wonderful talk. Is there any way we can access the complete app source code (including SQL + R + Stored procedures etc.)

    Thanks,

    B

     

  • User profile image
    PabloC

    @binoypatel - glad to hear you liked the talk. Yes, we'll make all the code available. We're working on packaging it up so it's easy to deploy on your own Azure subscription and we'll make it available once it's ready.

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