S m a r t C i t i e s

T h e F u t u re P re s e n t !

H a n y M o r c o s

C L O U D T E C H N O L O G I E S D I R E C T O R

M i c r o s o f t M i d d l e E a s t & A f r i c a

Four Drivers of Digital Evolution

PLOTTING THE DIGITAL EVOLUTION INDEX, 2017

Emergency service visit

Citizen complaint received

Citizen Service center operator logs issue

Citizen complaint resolved

Reactive

Proactive

value creation

data estate

GOING DIGITAL

Smart Devices20B IoT Devices

Connected Factory1 PB per day

Stadium200 TB per game

People1.5 GB per day

Smart Home50 GB per day

Autonomous

Vehicle5 TB per day

Smart Office150 GB per day

1 million/hour new devices coming online by 2020

Sources: IHS Markit, iGR, Intel, Lucid Motors, McKinsey, IDC, EMC, Cisco VNI, Nest, AAA, Laid, BCG, Philips & Banner

Emergency service visit

Citizen complaint received

Citizen Service center operator logs issue

Citizen complaint resolved

Reactive

Citizen never disrupted

Proactive maintenance visit

Anomaly detection model

Data

Proactive

Through digital transformation,

public organizations have the

potential to increase

customer satisfaction by 20%,

operational efficiency by 20%, and

employee engagement by 30%.McKinsey, 2017

Engage

Citizens

Optimize

operations

Transform

Services

Empower

Employees

CITY INTELLIGENT INFRASTRUCTURE

Citizen

Engagement

Transportation, Traffic,

Parking, Vehicles

Energy,

Water

& Utilities

Public Safety

& Security

Housing,

Buildings

Environment

Social

Economy

Municipal

Command &

Control Center

Responsive

Store

Intelligent

Supply Chain

DevicesConnected

Fleet Digital

Signage Automated

Car System

Traffic

Sensors &

Cameras

Logistics

Optimization

Factory

Optimization

Traffic Flow

Optimization

Home

Energy

Management

Building

Optimization

Smart

Grid

Comms

Network

Optimization

DIGITAL TWINS: FUSING PHYSICAL AND DIGITAL

Insights

DIGITAL

WORLD

PHYSICAL

WORLD

Control

Measure

Insight,

Optimization

Operations

Data

VI

Insight,

Optimization

Intent,

Context

ControlData

SPACES

Experience

Measure

Assistance,

Task completion

ControlData

PEOPLE

• Remote Monitoring & Fault Detection

• Predictive Maintenance

• Tenant Apps

• Employee Productivity, Comfort, Satisfaction

• Indoor Mapping, Location, Wayfinding

• Mixed Reality

• Cognition

• Occupancy & Utilization

• Workplace Advisor

• Workplace Analytics

MODEL & INTERACT WITH THE REAL WORLD

THINGS INSIGHTS ACTIONS

RTOS, Linux, Windows, Android, iOS

Power BI

Mixed Reality

Logic Apps

Web Apps

Mobile Apps

SearchAzure Maps

Manage

View and manage solutions

Azure Sphere

Secured

MCU

Secured

OS

Cloud

Security

• Spatial intelligence graph

o People, Space, Device Twins

o Loadable Twin Object Models

o User Defined Functions

o Blob storage

o Nested tenancy

• Role-based access & control

• AuthN/AuthZ via AAD

• Notifications & egress routing

Cold Analytics

Find insights over historical data

AzureML

Azure Data Lake Analytics

Hot Analytics

Real-time monitoring

Azure Stream Analytics

HDInsight Spark & Storm

Warm Analytics

Time series data storage & analytics

Azure Time Series Insights

Business Integration

Connect to Business Processes

Office 365Dynamics 365

Flow

AI - Cognitive Services

Azure IoT Hub

• Bi-directional device-cloud

• Telemetry ingestion

• Command & Control

• Device Registry & Identity

• Device Provisioning

• Device Mgmt

• HTTP, AMQP, MQTT

Azure Digital Twins

People

Spaces

Devices

Edge Modules:• Protocol Adaptation

• Functions

• Stream Analytics

• Machine Learning

• AI

Azure IoT Edge

“We showed that we can use AI to work together with our

citizens, businesses, and agencies to create a brighter future for

everyone in Espoo.

Päivi Sutinen: Director for City as a Service Development

City uses AI to analyze citizen data and proactively deliver health and social services

Espoo, Finland, is a hub of technology and business innovation, and the city wants to deliver public services that are just as innovative. To better understand the service needs of its 282,000 citizens, Espoo worked with software and services company Tieto to build an experimental City as a Service platform that combines Tieto AI know-how with Microsoft Azure cloud services. The successful experiment demonstrated that the city can use the platform to predict which citizens may need social welfare services, provide those services proactively—and deliver far better outcomes.

Traffic Analytics Dashboardvavz.azurewebsites.net

Ochsner Health SystemBringing innovation to inpatient care with AI

CHALLENGEOchsner, Louisiana’s largest not-for-profit health system, needed a more efficient way to analyze patient vitals that protected privacy while saving money and improving outcomes.

SOLUTIONOchsner developed an AI-powered predictive modelling tool that

continually monitors a patient’s condition, analyzing this high volume of

complex data to identify subtle changes in their condition. If anomalous

values are detected, the solution generates an alert that prompts clinicians

to check on a patient to potentially avoid a cardiac or respiratory arrest.

BENEFITS

• Reduced the number of cardiac and respiratory arrests leading to fewer complications

• Transferred fewer patients to the ICU

• Shortened patient stays

“We have monitors that are taking vitals every minute.

There are hundreds of constantly changing data points

that humans could not possibly digest in real time. And

we have new artificial intelligence that can take these

data streams and process them and make predictions.”

JONATHAN WILT

Chief Technology Officer,

innovationOchsner

Challenge

• Traditional power line inspection services are costly

• Demand for low cost image scoring and support for multiple concurrent customers

• Needed powerful AI to execute on a drone solution

Solution

• Deep learning to analyze multiple streaming data feeds

• Azure GPUs support Single Shot multibox detectors

• Reliable, consistent, and highly elastic scalability with Azure Batch Shipyards

Drone-based electric grid inspector powered by deep learning

ENABLING PARTNERS

© 2016 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

www.linkedin.com/in/HMorcos