praveen nair

blog.ninethsense.com@ninethsense

praveen nair

blog.ninethsense.com@ninethsense

What is in this presentation?

1. Why Machine Learning?2. Cortana Analytics Suite3. High Level view of Azure ML4. Azure Machine Learning

Solution5. Azure ML Learning Studio

Demo6. Azure ML Market trends

Source: All the slides copied form Sales Microsoft Presentations

What is Machine Learning?

“Computing systems that improve with experience”

Predictive Analytics → “a way to scientifically use the past to predict the future”

Are you concerned with timely maintenance of in-service equipment? Are scheduled or routine maintenance operations becoming too costly?

Predictive maintenance

Is your current data analysis infrastructure deep enough to support fraud detection?

If not, what are the primary reasons: cost, scale, data science?

Fraud detection

Do you currently have social mechanisms in place to promote product recommendations across your site and product portfolio?

If so, are these measures performing well and are you able to analyze customer recommendations for optimal insight?

Product recommendati

on

Do you feel a deeper understanding of historical customer data will help your business predict demand, assess future capacity, or make pricing decisions?

Are you currently using historical data to accurately predict future demand?

Demand forecasting

Do you need more accurate data on customer churn and turnover? Are you losing revenue through customer cancellations?Churn analysis

Sample questionsNeeds

Supply chain optimization

Can your organization generate accurate supply chain success metrics, such as Gross Margin Return on Inventory Invested (GMROII) or operational expense minimization?

Azure Machine Learning

Microsoft Azure ML → simplifies data analysis and empowers you to find the answers to your business needs

A fully managed service that you can use to create, test, operate, and manage predictive analytic solutions in the cloud

Cortana Analytics Suite

Microsoft Azure Machine LearningData to model to web services in minutes

Devices Applications Dashboards

Data

Storage space

Business challenge Business valueModeling Deployment

HDInsight SQL Server VM SQL DB Blobs and tables

Cloud

Local

Clients

Integrated development environment for Machine

Learning

MLStudio

http://studio.azureml.net

Web

API

Model is now a web service

Microsoft AzureMarketplace

Monetize this API

Delivering advanced analytics

Desktop files Excel spreadsheet Other data

files on PC

Deploy in minutesOperationalize models as web services with a single click; monetize in Azure Machine Learning Marketplace

FlexibleBuilt-in collection of best of breed algorithms with no coding required. Drop in custom R or use popular CRAN packages

IntegratedDrag, drop, and connect interface. Data sources with just a drop down run across any data.

Fully managedNo software to install, no hardware to manage; all you need is an Azure subscription.

Built for a cloud-first, mobile-first world Microsoft Azure Machine Learning

The Azure Machine Learning solutionAzure ML Studio Browser-based Designed for people without deep data

science backgrounds Supports deep science scenarios – R

support, multiple models

Azure Marketplace Drag-and-deploy Fast monetization of ML solutions and APIs Quick source for free and third-party

Azure ML APIs

Azure cloud services No software to install or infrastructure

needed Nearly unlimited file repositories via Azure

Storage Supports Azure data-related services –

HDInsight, SQL Database

Azure ML API REST-based web service Supports best-in-class algorithms Reduces time from model

experimentation to production

https://studio.azureml.net/

Local drive

HTTP

Azure blob

SQL Database

Azure table

Hive Query (Hadoop)

Write out the results: Azure blob

SQL DatabaseAzure table

Hive Query (Hadoop)

Power Query

Load Data from…

Demo Time

Azure ML Learning Studio

Cortana Intelligence Gallery• https://gallery.cortanaintelligence.com/• Community of Developers and Data Scientists

T4T3T2T1

CLOUD PLATFORM VENDORS

OPEN SOURCE

MEGA VENDORS

STARTUPS

IBM SPSS

Python

Amazon (Spark ML)

Alteryx

Google Prediction API

R

0xdata

SAS

SAP (InfiniteInsight)

Dell (Statsoft)

Oracle Data Miner

Predixion

bigML

RapidMinerGraphLab

Skytree

Guavus

Spark ML

Weka

Knime

FICO Model Builder

SalfordMatlab Tibco Spotfire

Gartner 2016 Magic Quadrant for Advanced Analytics Platforms

Limitations• Still improving…• Your data is in MSFT Data Centers / Data Privacy• Cloud & Data Safety• Only R & Python supported (currently)

Thank You