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James Serra
Big Data Evangelist
Microsoft
JamesSerra3@gmail.com
About Me
 Microsoft, Big Data Evangelist
 In IT for 30 years, worked on many BI and DW projects
 Worked as desktop/web/...
Advanced Analytics Defined
Fully
managed
Integrated Best in Class
Algorithms
Deploy in
minutes
No software to install,
no hardware to manage,
and one...
ML
Studio
API
M
Establish mechanisms to conduct data science activities end-to-
end in the cloud or on premises, friction free.
http://aka...
Setup Cloud
Environment
Load Data
Explore Data
Engineer Features
Sample Data
Build Model Deploy Model Consume Model
This is Karl.
Karl owns a company that
operates vending machines in
Washington state.
His job is to make sure that his 100...
Sadly, vending machine will
occasionally break & may take up
to 7 days to fix, thus hurting sales.
To eliminate this occur...
Azure Cloud Services + Machine Learning to the Rescue!
1. Which Machines Have Failed?
2. Which Machines Will Soon Fail?
• Damage is reported by customer
or during weekly restocking routes
• Technician must be scheduled
to investigate
• Proces...
Cloud
Event Hubs
ML Studio ML API Service
Microsoft
Azure Portal
Blob Storage
ML Apps
Marketplace
ML Operationalization
ML Studio
ML Algorithms
Social network
analysis
Weather
forecasting
Healthcare
outcomes
Predictive
maintenance
Targeted
advertising
Natural resour...
Model Your Way: Open source/our source
Python client library
Deploy in Minutes
Web Service Gallery Discover
Learn
Share
Expand your Reach
• Accessible through a web browser, no software
to install;
• Collaborative work with anyone, anywhere via
Azure workspace...
Cortana Intelligence Suite
Integrated as part of an end-to-end suite
Action
People
Automated
Systems
Apps
Web
Mobile
Bots
...
Event Hub
Stores Streaming
Data
Stream Analytics
processes events as they
arrive in the EventHub
AML Model
Web Service
BES...
Real Time Energy
Consumption Data
(Public Source)
Event Hub
Stores Streaming
Data
Stream Analytics
processes events as the...
Q & A ?
James Serra, Big Data Evangelist
Email me at: JamesSerra3@gmail.com
Follow me at: @JamesSerra
Link to me at: www.l...
Overview on Azure Machine Learning
Overview on Azure Machine Learning
Overview on Azure Machine Learning
Overview on Azure Machine Learning
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Overview on Azure Machine Learning

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Machine learning allows us to build predictive analytics solutions of tomorrow - these solutions allow us to better diagnose and treat patients, correctly recommend interesting books or movies, and even make the self-driving car a reality. Microsoft Azure Machine Learning (Azure ML) is a fully-managed Platform-as-a-Service (PaaS) for building these predictive analytics solutions. It is very easy to build solutions with it, helping to overcome the challenges most businesses have in deploying and using machine learning. In this presentation, we will take a look at how to create ML models with Azure ML Studio and deploy those models to production in minutes.

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Overview on Azure Machine Learning

  1. 1. James Serra Big Data Evangelist Microsoft JamesSerra3@gmail.com
  2. 2. About Me  Microsoft, Big Data Evangelist  In IT for 30 years, worked on many BI and DW projects  Worked as desktop/web/database developer, DBA, BI and DW architect and developer, MDM architect, PDW/APS developer  Been perm employee, contractor, consultant, business owner  Presenter at PASS Business Analytics Conference, PASS Summit, Enterprise Data World conference  Certifications: MCSE: Data Platform, Business Intelligence; MS: Architecting Microsoft Azure Solutions, Design and Implement Big Data Analytics Solutions, Design and Implement Cloud Data Platform Solutions  Blog at JamesSerra.com  Former SQL Server MVP  Author of book “Reporting with Microsoft SQL Server 2012”
  3. 3. Advanced Analytics Defined
  4. 4. Fully managed Integrated Best in Class Algorithms Deploy in minutes No software to install, no hardware to manage, and one portal to view and update. Simple drag, drop and connect interface for Data Science. No need for programming for common tasks. Built-in collection of best of breed algorithms. Support for R and Python for extensibility. Operationalize models with a single click. Monetize in Machine Learning Marketplace.
  5. 5. ML Studio API M
  6. 6. Establish mechanisms to conduct data science activities end-to- end in the cloud or on premises, friction free. http://aka.ms/adapt
  7. 7. Setup Cloud Environment Load Data Explore Data Engineer Features Sample Data Build Model Deploy Model Consume Model
  8. 8. This is Karl. Karl owns a company that operates vending machines in Washington state. His job is to make sure that his 100 vending machines are selling drinks & obtaining revenue. Karl wants revenue to always be high & his business to be profitable
  9. 9. Sadly, vending machine will occasionally break & may take up to 7 days to fix, thus hurting sales. To eliminate this occurrence, Karl must maintain operations & figure out the best way to utilize resources in order to optimize revenue.
  10. 10. Azure Cloud Services + Machine Learning to the Rescue! 1. Which Machines Have Failed? 2. Which Machines Will Soon Fail?
  11. 11. • Damage is reported by customer or during weekly restocking routes • Technician must be scheduled to investigate • Process take up to 8 days to fix a broken machine • Sensor data is used to monitor cooler condition in real-time • Broken coolers are identified at time of failure • Lost sales remain due to maintenance lead teams (parts & repair technicians) • Azure ML predicts where, when, & what failures will occur based on sensor data • Spare parts & repairs can be scheduled before machines shut down leading to no lost sales CURRENT SCENARIO REAL-TIME SENSORS SENSORS&MACHINELEARNING Days: Days:Days:
  12. 12. Cloud Event Hubs ML Studio ML API Service Microsoft Azure Portal Blob Storage
  13. 13. ML Apps Marketplace ML Operationalization ML Studio ML Algorithms
  14. 14. Social network analysis Weather forecasting Healthcare outcomes Predictive maintenance Targeted advertising Natural resource exploration Fraud detection Telemetry data analysis Buyer propensity models Churn analysis Life sciences research Web app optimization Network intrusion detection Smart meter monitoring
  15. 15. Model Your Way: Open source/our source Python client library
  16. 16. Deploy in Minutes Web Service Gallery Discover Learn Share Expand your Reach
  17. 17. • Accessible through a web browser, no software to install; • Collaborative work with anyone, anywhere via Azure workspace; • Visual composition with end2end support for data science workflow; • Best in class ML algorithms; Immutable library of models, search discover and reuse; • Extensible, support for R & Python; • Rapidly try a range of features, ML algorithms and modeling strategies
  18. 18. Cortana Intelligence Suite Integrated as part of an end-to-end suite Action People Automated Systems Apps Web Mobile Bots Intelligence Dashboards & Visualizations Cortana Bot Framework Cognitive Services Power BI Information Management Event Hubs Data Catalog Data Factory Machine Learning and Analytics HDInsight (Hadoop and Spark) Stream Analytics Intelligence Data Lake Analytics Machine Learning Big Data Stores SQL Data Warehouse Data Lake Store Data Sources Apps Sensors and devices Data
  19. 19. Event Hub Stores Streaming Data Stream Analytics processes events as they arrive in the EventHub AML Model Web Service BES endpoint Power BI / D3 Dashboard Data for Real-time Processing Aggregations External Data Azure Services Azure SQL Contains Historical Energy Consumption Data Real time data stats Azure Data Factory Pipeline invokes AML Web Service RealTimeBatch Example Architecture Real Time Telemetry Data Azure Data Factory Pipeline Moves Data Batch updates of predictions AML Model Web Service RRS endpoint
  20. 20. Real Time Energy Consumption Data (Public Source) Event Hub Stores Streaming Data Stream Analytics processes events as they arrive in the EventHub AML Model Web Service BES endpoint Power BI / D3 Dashboard Data for Real-time Processing Data Stream Job Hourly Prediction Updates External Data Azure Services Copy to Azure SQL for batch predictions Scrape Data 5 mins Azure WebJob Runs jobs to scrape data from public source Azure SQL Contains Historical Energy Consumption Data Real time data stats Azure Data Factory Pipeline invokes AML Web Service RealTimeBatch
  21. 21. Q & A ? James Serra, Big Data Evangelist Email me at: JamesSerra3@gmail.com Follow me at: @JamesSerra Link to me at: www.linkedin.com/in/JamesSerra Visit my blog at: JamesSerra.com (where this slide deck is posted via the “Presentations” link on the top menu)

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