Microsoft Azure MLFranck MercierArchitecte Solutions | DX | Microsoft France@FranmerMShttp://aka.ms/franck

Delivering on one of the old dreams of Microsoft co-founder Bill Gates: Computers that can see, hear and understand.

John PlattDistinguished scientist at Microsoft Research

Computing systems that improve with experience

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What is Machine Learning?

What is Machine Learning?

The United States Postal Service processed over 150 billion pieces of mail in 2013—far too much for efficient human sorting.

But as recently as 1997, only 10% of hand-addressed mail was successfully sorted automatically.

The challenge in automation is enabling computers to interpret endless variation in handwriting

What is Machine Learning?

1 1 5 4 37 5 3 5 35 5 9 0 63 5 2 0 0

Training examples

Training labels

Accurate digit classifier

2Machine learning system

What is Machine Learning?

By providing feedback, the Postal Service was able to train computers to accurately read human handwriting. Today, with the help of machine learning, over 98% of all mail is successfully processed by machines.

What is Machine Learning?

SQL Server enables data

mining of databases

Computers work on

users behalf, filtering junk

email

Microsoft Kinect can

watch users gestures

Microsoft launches

Azure Machine Learning, making years of

innovation available

Microsoft search

engine built with

machine learning

Bing Maps ships with ML traffic-prediction

service

Successful, real-time, speech-to-

speech translation

Microsoft & Machine Learning20 years of realizing innovation

John Platt, Distinguished scientist at Microsoft Research

1999 201220082004 201420102005

Machine learning is pervasive throughout

Microsoft products.“ ”

Enable custom predictive analytics solutions at the speed of the market

Azure Machine Learning offers a data science experience that is directly accessible to business analysts and domain experts, reducing complexity and broadening participation through better tooling.

Hans KristiansenCapgemini

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Azure Machine Learning: How it works

Machine learning todayComplexities in a nascent market

Break away from industry limitations

Huge set-up costs create unnecessary barriers to entry

Siloed and cumbersome data management restricts access to data

Complex and fragmented tools limit participation in exploring data and building predictive models

Many models never achieve business value due to difficulties with deploying to production

With our solution you literally need just a Microsoft Azure subscription

Our ML solution contains its own storage space in the cloud and is seamlessly connected to HDInsight, SQL Server in a Virtual Machine, SQL Database, Blobs and TablesWith our solution data scientists can share their workspaces with colleagues securely with a click.

Most revolutionary of all, our models can be deployed to production in minutes, allowing data scientists to show value to the business at the speed of the market.

One solution for Machine Learning — from data to results

ML Studio and the Data Scientist• Access and prepare data• Create, test and train

models• Collaborate • One click to stage for

production via the API service

Business users easily access results:from anywhere, on any device

HDInsight

Desktop Data

Azure Storage

Mobile Apps PowerBI/DashboardsWeb Apps

ML API service and the Developer• Tested models available as an url that can be called from any end

point

Azure Portal & ML API serviceand the Azure Ops Team• Create ML Studio

workspace• Assign storage account(s)• Monitor ML consumption• See alerts when model is

ready• Deploy models to web

service

Learn more and sign up for a free trial of Azure

azure.com/ml

“Azure ML is the future of Analytics. It seamlessly brings together statistics/mathematics with ML, AI, and advances in data storage and computing.

Corey CoscioniWest Monroe Partners, LLC

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La suite

Démo

Azure ML