1. Rolando Rangel, DPSA, MCSE
Data Platform Solution Architect
Twitter @RolandBenRangel
Rolando.Rangel@Microsoft.com
Cortana Intelligence in the
4th Industrial Revolution

2. Some innovations fundamentally
disrupt the economic landscape
1st Industrial Revolution
1760-1840 1870-1940 1950+
2nd Industrial Revolution 3rd Industrial Revolution

6. WATCH VIDEO

7. In the 4th IR Global Businesses are being transformed by three trends
IntelligenceCloudBig Data

8. We now face a world of connected data
1985 1990 1995 2000 2005 2010 2015 2020
CONNECTED
DIGITAL
ANALOG

9. Data is a key strategic asset
$
1.7TAdditional business value captured
by companies that are leaders in
using data assets to their advantage
Source: IDC, 2014
10%Percent of organizations expected
to have a highly profitable business
unit specifically for productizing and
commercializing their data by 2020
Source: Gartner, 2016

10. The cloud offers limitless computing power
Speed EconomicsScale

11. Differentiate with intelligent solutions
• See and identify objects, people
and actions
• Hear and recognize language
• Learn and develop greater
understanding over time
• Perceive emotions and
reactions
Cognitive
Understanding
Intelligent
Bots
• Complete tasks
• Predict outcomes and make
adjustments
• Monitor and alert automatically
• Get things done in proactive,
natural ways

12. 67
Years
25
Years
15
Years
The time to adapt to disruptions is shrinking
Source: BBC
A hundred years ago, the average lifespan of a
company listed on the S&P 500 index was 67 years
75% of the S&P 500 will be new
(not on the index today)
25% of the S&P 500 will
be ones on the index today
In the 2020s…
Video

13. Hyper scale Infrastructure is the enabler
100+ Datacenters across 34 Regions (22 Generally Available) Worldwide
 Top 3 networks in the world
 2.5x AWS, 7x Google DC Regions
 G Series – Largest VM in World, 32 cores, 448GB Ram, SSD…
Operational
Announced/Not Operational
Central US
Iowa
West US
California
East US
Virginia
US Gov
Virginia
North Central US
Illinois
US Gov
Iowa
South Central US
Texas
Brazil South
Sao Paulo State
West Europe
Netherlands
China North *
Beijing
China South *
Shanghai
Japan East
Tokyo, Saitama
Japan West
Osaka
India South
Chennai
East Asia
Hong Kong
SE Asia
Singapore
Australia South East
Victoria
Australia East
New South Wales
India Central
Pune
Canada East
Quebec City
Canada Central
Toronto
India West
Mumbai
Germany North East **
Magdeburg
Germany Central **
Frankfurt
North Europe
Ireland
East US 2
Virginia
United Kingdom
RegionsUnited Kingdom
Regions
US DoD East
TBD
US DoD West
TBD
* Operated by 21Vianet ** Data Stewardship by Deutsche Telekom

14. Microsoft’s network is one of the two largest in the world
(the other one is the US Government)

15. Platform Services
Infrastructure Services
Web Apps
Infrastructure
Mobile Apps
Backends
API
Management
API Apps
Infrastructure
Business Process
Automation
-Logic Apps
Push Notifications
-Notification
Hubs
Content
Delivery
Network (CDN)
Live & OD
Media
Streaming
–Media Services
B2B
Integration
-BizTalk
Services
Hybrid
Connections
Pub/Sub
Queuing
-Service Bus
Simple
Queuing
–Storage
Queues
Hybrid
Operations
Server Data
Backup
Hybrid/Intelligent
Data Backup
–StorSimple
Disaster
Recovery
–Azure Site Recovery
Bulk Data Import
And Export
Relational
SQL Database
Document
Database
Service
–DocumentDB
Distributed
In-Memory
Cache
–Redis Cache
Azure
Search
Simple
Key/Value Store
–Storage Tables
Data
Warehouse Azure AD
Health Monitoring
AD Privileged
Identity
Management
Operational
Analytics
Stateless
Compute
–Cloud Services
Scheduled
Compute
Jobs
–Batch
Virtual App
Streaming
–RemoteApp
Distributed
Compute
–Service Fabric
Development
Tools
–Visual Studio
Application
Instrumentation
–App Insight
Software
Development
Kits –Azure SDK
Software Lifecycle
Management
–Visual Studio
Online
Domain Join &
Policy Management
–Domain Services
Big Data
Analytics
–HDInsight
Predictive
Analytics
–Machine
Learning
Data Stream
Analytics
Data
Pipelines
–Data
Factory
Device Data
Collection
–Event Hubs
Mobile
Analytics
–Mobile Engagement
Big Data
Storage
–Data
Lake
IoT Device
Management
–IoT Hub
Data Source
Management
–Data Catalog
Security &
Management
User/Group
Directory Store
–Azure Active Directory
Multi-Factor
Authentication
Scheduled Service
Management
–Automation
Service Creation
& Configuration
–Portal
Encryption Key
Store
–Key Vault
Software/Solution
Marketplace
Pre-Build VM Images
–VM Image Gallery
& VM Depot
Identity Sign-Up
and sign-in
–Azure AD B2C
Task
Scheduler
–App Gateway–Traffic Manager–Express Route–Premium Storage–Azure Files–BLOB Storage–Virtual Machines –Container Service

16. WATCH VIDEO
Cortana Intelligence Vehicle
Telemetry Demo
WATCH VIDEO

18. Cortana Intelligence Suite
Transform data into intelligent action
Data
Sources
Apps
Sensors
&
Devices
People
Data Intelligence
Cortana Intelligence
Action
Apps
Automated
systems

19. Intelligence
Cortana
Cognitive
Services
Bot
Framework
Preconfigured Solutions
Dashboards and Visualizations
Machine Learning and Analytics
Big Data Store
Information Management
Cortana Intelligence Suite
Transform data into intelligent action

20. Easily turn data into intelligent action
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

21. Easily turn data into intelligent action
Action
People
Automated
Systems
Apps
Web
Mobile
Bots
Dashboards &
Visualizations
Cortana
Bot
Framework
Cognitive
Services
Power BI
Information
Management
Event Hubs
Data Factory
Machine Learning
and Analytics
Stream Analytics
Intelligence
Machine
Learning
Big Data Stores
SQL Data
Warehouse
Sensors
and
devices
Data

22. Opportunities exist across functional areas
EXAMPLE SOLUTIONS

23. Dartmouth-Hitchcock Demo + Video

24. Compose and orchestrate data services at scale
INGEST
SQL
<>
SQL
DATA SOURCES
{ }
SQL
• Create, schedule, orchestrate, and manage data pipelines
• Visualize data lineage
• Connect to on-premises and cloud data sources
• Monitor data pipeline health
• Automate cloud resource management
• Move relational data for Hadoop processing
• Transform with Hive, Pig, or custom code
Information
Management
Event Hubs
Data Catalog
Data Factory

25. Get more value from your enterprise data assets
Information
Management
Event Hubs
Data Catalog
Data Factory
• Spend less time looking for data, and more time getting value from it
• Register enterprise data sources, discover data assets and unlock their
potential, and capture tribal knowledge to make data understandable
• Bridge the gap between IT and the business, allowing everyone to
contribute their insights, tags, and descriptions
• Intuitive search and filtering to understand the data sources and their
purpose
• Let your data live where you want; connect using tools you choose
• Integrate into existing tools and processes with open REST APIs

26. Ingest events from websites, apps and devices at cloud scale
• Log millions of events per second in near real time
• Connect devices using flexible authorization and throttling
• Use time-based event buffering
• Get a managed service with elastic scale
• Get a managed service with elastic scale
• Reach a broad set of platforms using native client libraries
• Pluggable adapters for other cloud services
Azure
API
Management
Backend Services
Data
Information
Management
Event Hubs
Data Catalog
Data Factory
Data
sources
Apps
Sensors
and
devices
Event Hubs
SQL Database Machine Learning
HDInsightStorage
Power BIStream Analytics

27. Big Data Stores
Big Data Stores
SQL Data
Warehouse
Data Lake Store
Data
Sources
Apps
Sensors
and devices
Data
Information
Management
Event Hubs
Data Catalog
Data Factory

28. A hyper-scale repository for big data analytics workloads
• A Hadoop Distributed File System for the cloud
• No fixed limits on file size
• No fixed limits on account size
• Unstructured and structured data in their native format
• Massive throughput to increase analytic performance
• High durability, availability, and reliability
• Azure Active Directory access control
LOB
Applications
SocialDevices
Clickstream
Sensors
Video
Web
Relational
HDInsight
ADL Analytics
Machine Learning
Spark
R
ADL Store
Big Data Stores
SQL Data
Warehouse
Data Lake Store

29. Elastic data warehouse as a service with enterprise-class features
• Petabyte scale with massively parallel processing
• Independent scaling of compute and storage—in seconds
• Transact-SQL queries across relational and non-relational data
• Full enterprise-class SQL Server experience
• Works seamlessly with Power BI, Machine Learning,
HDInsight, and Data Factory
Power BI
App Service
SQL Database
SQL Data Warehouse
Machine Learning
Hadoop
Intelligent App
Big Data Stores
SQL Data
Warehouse
Data Lake Store

30. Machine Learning and Analytics
Big Data Stores
SQL Data
Warehouse
Data Lake Store
Data
Sources
Apps
Sensors
and devices
Data Intelligence
Information
Management
Event Hubs
Data Catalog
Data Factory
Machine Learning
and Analytics
HDInsight
(Hadoop and
Spark)
Stream
Analytics
Data Lake
Analytics
Machine
Learning

31. Easily build, deploy, and share predictive analytics solutions
• Simple, scalable, cutting edge. A fully managed cloud service that enables you to easily build, deploy, and share predictive analytics solutions.
• Deploy in minutes. Azure Machine Learning means business. You can deploy your model into production as a web service that can be called
from any device, anywhere and that can use any data source.
• Publish, share, monetize. Share your solution with the world in the Gallery or on the Azure Marketplace.
Machine Learning
and Analytics
HDInsight
(Hadoop and
Spark)
Stream
Analytics
Data Lake
Analytics
Machine
Learning

32. Big data analytics made easy
• Analyze data of any kind and size
• Develop faster, debug and optimize smarter
• Interactively explore patterns in your data
• No learning curve—use U-SQL, Spark, Hive, HBase and Storm
• Managed and supported with an enterprise-grade SLA
• Dynamically scales to match your business priorities
• Enterprise-grade security with Azure Active Directory
• Built on YARN, designed for the cloud
Data Lake Analytics
SQL DW SQL DB Storage BlobsData Lake Store SQL DB in a VM
Machine Learning
and Analytics
HDInsight
(Hadoop and
Spark)
Stream
Analytics
Data Lake
Analytics
Machine
Learning

33. Comprehensive set of managed Apache big data projects
• Scale to petabytes on demand
• Process unstructured and semi-structured data
• Develop in Java, .NET, and more
• Skip buying and maintaining hardware
• Deploy in Windows or Linux
• Spin up an Apache Hadoop cluster in minutes
• Visualize your Hadoop data in Excel
• Easily integrate on-premises Hadoop clusters
Core Engine
Batch
Map Reduce
Script
Pig
SQL
Hive
NoSQL
HBase
Streaming
Storm
In-Memory
Spark
Machine Learning
and Analytics
HDInsight
(Hadoop and
Spark)
Stream
Analytics
Data Lake
Analytics
Machine
Learning

34. Machine Learning
and Analytics
HDInsight
(Hadoop and
Spark)
Stream
Analytics
Data Lake
Analytics
Machine
Learning
Real-time stream processing in the cloud
• Perform real-time analytics for your Internet of Things solutions
• Stream millions of events per second
• Get mission-critical reliability and performance with predictable
results
• Create real-time dashboards and alerts over data from
devices and applications
• Correlate across multiple streams of data
• Use familiar SQL-based language for rapid development
Event Hubs
Blob Storage
Stream
Analytics
SQL Database
Event Hubs
Power BI
Blob Storage
Table Storage

36. Intelligence
Intelligence
Cortana
Bot
Framework
Cognitive
Services
Big Data Stores
SQL Data
Warehouse
Data Lake Store
Data
Sources
Apps
Sensors
and devices
Data
Information
Management
Event Hubs
Data Catalog
Data Factory
Machine Learning
and Analytics
HDInsight
(Hadoop and
Spark)
Stream
Analytics
Data Lake
Analytics
Machine
Learning

37. Build applications that understand people
• Faces, images, emotion recognition and video intelligence
• Spoken language processing, speaker recognition, custom speech recognition
• Natural language processing, sentiment and topics analysis, spelling errors
• Complex tasks processing, knowledge exploration,
intelligent recommendations
• Bing engine capabilities for Web, Autosuggest, Image,
Video and News
Intelligence
Cortana
Bot
Framework
Cognitive
Services

38. Your bots – wherever your users converse
Intelligence
Cortana
Bot
Framework
Cognitive
Services
• Bot Connector Service: A service to register your bot, configure channels and publish to the Bot Directory. Connect your bot(s) seamlessly to
text/sms, Office 365 mail, Skype, Slack, Twitter, and more.
• Bot Builder SDK: An open source SDK hosted on GitHub. Everything you need to build great dialogs within your Node.js or C# bot
• Bot Directory: A public directory of bots registered through the Bot Connector Service. Discover, try, and add bots to conversation experiences

39. Get things done in more helpful, proactive and natural ways
Here are some of the
things I can help you with…
Cortana for
Consumers (today)
With the Cortana
Intelligence Suite
Answers
Public reference data answers – “How far is it
from Los Angeles to San Francisco?”
Answers from organizational data in Power BI
“What were our biggest deals that closed
last month?”
Predictions
Event predictions – “Who do you think is going
to win the Germany Italy game?”
Integration with prediction solutions
“Which of our customers are most likely to
churn in the next quarter?”
Monitoring & Alerts
Flight status, traffic conditions, changes in
weather, …
Monitoring KPIs and preemptive alerting
“Alert me if this customer ever has a 90%
chance of churn in the next 30 days”
Task Completion
Setting reminders, scheduling meetings,
getting directions, …
Line of business process integration
Assistance with expense report submission
on-time within policy
Intelligence
Cortana
Bot
Framework
Cognitive
Services

40. Dashboards & Visualizations
Dashboards &
Visualizations
Power BI
IntelligenceInformation
Management
Big Data Stores Machine Learning
and Analytics
CortanaEvent Hubs
HDInsight
(Hadoop and
Spark)
Stream
Analytics
Data Intelligence
Bot
Framework
SQL Data
WarehouseData Catalog
Data Lake
Analytics
Data Factory
Machine
Learning
Data Lake Store
Cognitive
Services
Data
Sources
Apps
Sensors
and
devices
Data

41. Keep a pulse on your business with live, interactive dashboards
Event Hubs
Stream Analytics
Machine Learning
Storage
SQL database
HDInsight
Power BI
Power BI
• Analytics for everyone, even non-data experts
• Your whole business on one dashboard
• Create stunning, interactive reports
• Drive consistent analysis across your organization
• Embed visuals in your applications
• Get real-time alerts when things change
Power BI
Dashboards &
Visualizations
Power BI

42. Transform data into intelligent action
Intelligence
Dashboards &
Visualizations
Information
Management
Big Data Stores Machine Learning
and Analytics
CortanaEvent Hubs
HDInsight
(Hadoop and
Spark)
Stream
Analytics
Data Intelligence Action
People
Automated
Systems
Apps
Web
Mobile
Bots
Bot
Framework
SQL Data
WarehouseData Catalog
Data Lake
Analytics
Data Factory
Machine
Learning
Data Lake Store
Cognitive
Services
Power BI
Data
Sources
Apps
Sensors
and
devices
Data

44. Turning telemetry data from vehicles into insight
What parts need maintenance
first on all Ford F-150’s sold?
Are there any vehicles below the
insurance price break threshold?
Show me the location of all
vehicles within 50mi of my location
How does the reported
MPG compare to actual MPG?
What parts of the engine are
not meeting requirements?
What is the emissions status
of vehicle B204?

45. Example of Cortana Intelligence Suite in action
Data Sources Ingest Prepare Analyze Publish Consume
Sensors
and devices
Stream
Analytics Machine
Learning
Cortana
Business
apps
SQL Data
Warehouse
Diagnostic
Streaming
Power BI
Enterprise
data sources
Azure Blob storage
Data Factory: Move data, orchestrate, schedule and monitor
Data Catalog: Register, annotate, understand, discover data sets
HDInsight
Event
Hubs
HDInsight
Machine
Learning
Stream
Analytics

46. With Cortana Intelligence, better predict needs and trends
The front brakes are needing
to be serviced sooner than expected
3 vehicles have daily mileage
that qualify them for reduced rates
24 vehicles are shown on
a map, showing status
Tow truck is on its way
to vehicle B204
14/15 vehicles meet
standards and 1 is scheduled
for maintenance
Temperature is beyond the
ideal range for 13 vehicles
Vehicle B204 is driving in
eco-mode 78% of the time

48. Explore new business
opportunities
ThyssenKrupp Elevator develops new
services capabilities
“We wanted to go beyond the industry standard of
preventative maintenance, to offer predictive and
even preemptive maintenance.”
Andreas Schierenbeck
CEO, ThyssenKrupp Elevator
Scenario
Variable elevator uptime | The need for competitive
differentiation
Solution
Several Azure technologies, including Machine Learning,
that enable monitoring via a real-time dashboard and that
instruct technicians on optimal maintenance activities
through dynamic predictive models
Result
• Increased elevator uptime
• Reduced costs for ThyssenKrupp and its customers
• Rich, real-time data visualization and awareness of issues
• The ability offer predictive maintenance services for
customers around the globe

49. © 2016 Microsoft Corporation. All rights reserved.