k-mug azure machine learning
TRANSCRIPT
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