What if I could tell when it’s the best time for my things to _______ ?

What if my things could tell me when they go someplace they shouldn’t?

What if I simply knew where my things were?

What if I knew when my things were going to break before they did?

What if I could use device telemetry to improve next generation devices?

What insights could I find from all of my devices?

It all starts with a great idea…

Next comes a device…

And data from that device…

0100101010001010100101010010101010100101010101011010101010….

And securing the device…

0100101010001010100101010010101010100101010101011010101010….

And insights from that data…

0100101010001010100101010010101010100101010101011010101010….

Then lots of devices and data…

0100101010001010100101010010101010100101010101011010

0100101010001010100101010010101010100101010101011010101010001

0100101010001010100101010010101010100101010101011010101010101010100010101

010010101000101010010101001010101010010101010101101010101010001011110101010101010100

01001010100010101001010100101010101001010101010110101010101010101000101010

0100101010001010100101010010101010100101010101011010101010….

010010101000101010010101001010101010010101010101101010101010101

01001010100010101001010100101010101001010101010110101010101001001010110001010101010

010010101000101010010101001010101010010101010101101010101011000101001011

Then monitoring their data in real time…

0100101010001010100101010010101010100101010101011010

0100101010001010100101010010101010100101010101011010101010001

0100101010001010100101010010101010100101010101011010101010101010100010101

010010101000101010010101001010101010010101010101101010101010001011110101010101010100

01001010100010101001010100101010101001010101010110101010101010101000101010

0100101010001010100101010010101010100101010101011010101010….

010010101000101010010101001010101010010101010101101010101010101

01001010100010101001010100101010101001010101010110101010101001001010110001010101010

010010101000101010010101001010101010010101010101101010101011000101001011

Then looking for patterns and insights in the data over time…

0100101010001010100101010010101010100101010101011010

0100101010001010100101010010101010100101010101011010101010001

0100101010001010100101010010101010100101010101011010101010101010100010101

010010101000101010010101001010101010010101010101101010101010001011110101010101010100

01001010100010101001010100101010101001010101010110101010101010101000101010

0100101010001010100101010010101010100101010101011010101010….

010010101000101010010101001010101010010101010101101010101010101

01001010100010101001010100101010101001010101010110101010101001001010110001010101010

010010101000101010010101001010101010010101010101101010101011000101001011

Then managing and updating the software on these devices…

0100101010001010100101010010101010100101010101011010

0100101010001010100101010010101010100101010101011010101010001

0100101010001010100101010010101010100101010101011010101010101010100010101

010010101000101010010101001010101010010101010101101010101010001011110101010101010100

01001010100010101001010100101010101001010101010110101010101010101000101010

0100101010001010100101010010101010100101010101011010101010….

010010101000101010010101001010101010010101010101101010101010101

01001010100010101001010100101010101001010101010110101010101001001010110001010101010

010010101000101010010101001010101010010101010101101010101011000101001011

And visualizing and managing all of these services…

0100101010001010100101010010101010100101010101011010

0100101010001010100101010010101010100101010101011010101010001

0100101010001010100101010010101010100101010101011010101010101010100010101

010010101000101010010101001010101010010101010101101010101010001011110101010101010100

01001010100010101001010100101010101001010101010110101010101010101000101010

0100101010001010100101010010101010100101010101011010101010….

010010101000101010010101001010101010010101010101101010101010101

01001010100010101001010100101010101001010101010110101010101001001010110001010101010

010010101000101010010101001010101010010101010101101010101011000101001011

IoT can get complicated quickly

And that’s where Azure comes in

Innovation at work – real world IoT use cases

Electric charging stations

Street sweepers

Postboxes

AircraftsAuto

Elevators

Factory floor

Oil equipment

Cows

Engines

Vending machines

Buildings

Fryers

Medical devices

Vaccine dispensers

Trucks

BusesDogs

Oil distribution

Smart meters

Internet of Things

Power plant

Surveillance

Power tools

Racing

Mining equipment

Smart grids

Measurements

and Data

Ingestion, Business Logic

and Transformation

Consumption within

Business Processes

Measurements

and Data

Ingestion, Business Logic

and Transformation

Consumption within

Business Processes

Remote Diagnostics on key parameters, alarm response

Management of multi brand systems

Dynamic Maintenance for UPS

> 30% Revenue increase in first 3 months

> Remote resolution of 40% of service tickets

Key Data: Electrical current consumption

Monitoring of Food Machinery

> Allow Retro fitting for entire market

> Huge Competitive positioning differentiator

Geolocalization, Consumption details, Machine KPIs

Control Sales in Real Time

> Verify ‘non contractual’ comsumption

> Efficient and Effective Maintenance and Cleaning

Portable

Gateway

Car

Gateway

Desktop

Gateway

In-room

Gateway

Wearable

Gateway

Portable

Devices

Desktop

Devices

Floortop

Devices

Ambient

Sensors

Wearable

Sensors

Wearable

Devices

The most interesting aspect of the Internet of things is the world of humans that use it.

• Context - Each “thing” or connected device is part of the digital shadow of a person, essential to enable deeply contextualized services.

• Assistance & Task Completion - This informs business operations and services as much as it informs an individual’s engagement and behavior.

• Understanding Intent - Every new dimension of data increases predictive power, enabling an agent or chat bot to contextually answer the question: “What does the human want?”

• Knowledge & Insight - From the data streams that implement the “digital shadow”, we can use predictive analytics to understand people’s needs and behaviors better than ever before.

‘THINGS’ - THE DIGITAL SHADOW OF A PERSON

Workstation SensorsSpace Sensors Personal Sensors

Workspace Intelligence

Meeting Room Sensors

Meeting JumpStartProximityQuantified Self Wayfinding

Building Sensors

INTELLIGENT CLOUD + IoT

Office Delve

Azure Active Directory

Azure IoT Suite

Microsoft Flow

Cortana Intelligence Suite

IoT-enabled Signals, Inferences, Experiences

Cortana

Languages

Devices

Protocols

Operating Systems

Work with any deviceConnect to existing

solutions and business processes

RTOS

Business solutions and processes

And other business systems

• Azure IoT Hub

• Device SDK

• Gateway SDK

• Windows 10 IoT Core

• Device Management

• Power BI

• Azure App Service

• Azure Mobile Apps

• Azure API

Management

• Azure Logic Apps

Using… Using…

Microsoft

Dynamics

• C

• Node.js

• Java

• .NET

• Python

• MQTT

• HTTP

• AMQP

• LwM2M

AZURE REGIONS

30Azure regions around the world

More than AWS and Google Cloud combined

Platform Services

Infrastructure Services

Web Apps

MobileApps

APIManagement

API Apps

Logic Apps

Notification Hubs

Content DeliveryNetwork (CDN)

Media Services

BizTalkServices

HybridConnections

Service Bus

StorageQueues

HybridOperations

Backup

StorSimple

Azure SiteRecovery

Import/Export

SQL Database

DocumentDB

RedisCache

AzureSearch

StorageTables

DataWarehouse

Azure AD Health Monitoring

AD PrivilegedIdentity Management

OperationalAnalytics

Cloud Services

BatchRemoteApp

ServiceFabric

Visual Studio

AppInsights

Azure SDK

VS Online

Domain Services

HDInsight MachineLearning

StreamAnalytics

Data Factory

EventHubs

MobileEngagement

Data Lake

IoT Hub

Data Catalog

Security & Management

Azure ActiveDirectory

Multi-FactorAuthentication

Automation

Portal

Key Vault

Store/Marketplace

VM Image Gallery& VM Depot

Azure ADB2C

Scheduler

From endpoint to insight to action, across the enterprise, and around the world

Built on the industry’s leading cloud

SecureEnd-to-end

From endpoint and connection

through to data and the cloud

OpenConnect anything

Any device, OS, data source,

software, or service

FastStart in minutes

Preconfigured solutions for the

most common IoT scenarios

Magic Quadrant Leader, Business Intelligence and Analytics Platforms*

ScalableGrow effortlessly

Millions of devices, terabytes of

data, on-premises and in the

cloud, in 30 regions worldwide

PeopleData Insights ActionGatewaysDevices

*February 2015. The Gartner Magic Quadrant for Business Intelligence and Analytics Platforms is the property of Gartner, Inc. and available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research

publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of

fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. The above graphics were published by Gartner, Inc. as part of a larger research document

and should be evaluated in the context of the entire document.

Sources: 1McKinsey, How IoT Can Support A Dynamic Maintenance Program, 20162IDC, 2016

~80%margin1

driven by apps,analytics, andservices in 2020

Average increase in income for the most digitally transformed enterprises

$100M

2020

200930B

Things

Income

Intelligence

“Every business will become a software business, build

applications, use advanced analytics and provide

SaaS services.“ - Satya Nadella

2

2