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AI & IoT for Smart Cities IoT-Week, Bilbao, 04.06.2018 Siemens Corporate Technology, Michael May Siemens Corporate Technology Unrestricted © Siemens AG 2018

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AI & IoT for Smart Cities IoT-Week, Bilbao, 04.06.2018

Siemens Corporate Technology, Michael May

Siemens Corporate TechnologyUnrestricted © Siemens AG 2018

Unrestricted © Siemens Corp. 2018

June 4, 2018Page 2 Michael May

Many major breakthroughs in AI occurred since 2011, and will have

significant impact on business

Before 2011 2011 – 2017: Expected by 20xx+

1997: IBM

Deep Blue

defeats world’s

chess

champion

Kasparov

2011: Watson

wins Jeopardy!

against most

successful

contestants

1946: Zuse’s Z3,

first

programmable

electronic

computer

2005: Honda’s

humanoid

robot Asimo

comes to life

~2020: All-over

virtual personal

assistants as

interface for

consumers

2016: AlphaGo

beats Lee

Sedol in a Go

match

~202x: Fully

autonomously

driving cars

become

market-ready

2014: Alexa,

Amazon’s

intelligent

assistant

debuts

20xx: Robots

may build

robot “children”

on their own

Technological break-

throughs, esp. deep

learning and NLP

Competitors invest

strategically into AI

IT players start to move

into industrial areas

Open platforms and

data bases

Significant activities

Definition of AI Creating machines that perform functions that require

intelligence when performed by people (Kurzweil, 1990)

Data Analytics & AI@Siemens

Vision for AI Driven Business

Knowledge

Graph

Flexible

Manufacturing

Digital

Companion

Smart City

Monitoring

1995: Online learning

neural nets deployed

in >30 steel plants

2009: Commodity

price forecasting

using RNN

2015: Autonomous

gas turbine

optimization

2016: Predictive

personalized heart

model

Achievements 1995 – 2017

Unrestricted © Siemens AG 2017

Unrestricted © Siemens Corp. 2018

June 4, 2018Page 4 Michael May

MindSphere –

The cloud-based, open Industrial Internet-of-Things (IIoT) ecosystem

MindSphere

0111

010011

100101

1100

0111

1100

Optimized performance of assets, energy and resource consumption,

maintenance, services …

10010111

010011

10010111

10010111

100101

010011

10010111

10010111

MindApps

by Siemens OEMs End customers App developers

MindApps‒ Developed by Siemens, OEMs, end

customers and App developers

‒ Asset transparency and analytical insights,

for example, predictive maintenance

‒ Subscription-based pricing model

‒ Fleet management

MindSphere‒ Open interface for developing customer

specific apps (MindApps)

‒ Various cloud infrastructures:

public, private, or on-site

MindConnect‒ Open standards (for example, OPC UA)

for connectivity (also to third-party

products)

‒ Secure plug and play connection

of Siemens products

Unrestricted © Siemens Corp. 2018

June 4, 2018Page 5 Michael May

• Apartments, offices, business areas, research quarters

and a school campus

• More than 20.000 m² for shops, restaurants and small

and medium sized companies

Smart City & Urban Data Analytics – Vienna, Seestadt Aspern

Facts and Figures

Vienna

Urban Lakeside

Aspern

• Total size: 2.4 million m²

• Net. floor space: 2.2 million m²

• Workplaces: 25.000

• Inhabitants: 25.000

Unrestricted © Siemens Corp. 2018

June 4, 2018Page 6 Michael May

Aspern Smart City Research (ASCR)

Research Fields

Unrestricted © Siemens Corp. 2018

June 4, 2018Page 7 Michael May

ASCR Smart ICT

A Smart City System Blueprint

Unrestricted © Siemens Corp. 2018

June 4, 2018Page 8 Michael May

Smart ICT Overview

Analytics, Simulation and Data Discovery

Sequences of events

Vicinity Analysis

Data Discovery

„Find the needle in the data haystack“

• Hidden interrelations

• Event sequences

Analytics

Analytic apps for known problems

• Anomaly detection

• Prognosis

Data from LV-Grid and

Buildings, plus external

sources

Simulation (Digital Twin)

Mutual Exchange

Digital modelling of system for simulation

KPIs

Comparative

Analysis

Unrestricted © Siemens Corp. 2018

June 4, 2018Page 9 Michael May

AI & Data Analytics will be disrupting smart cities across

the entire customer value chains

... productivity

and time-to-market ...

... flexibility

and resilience ...

... availability

and efficiency ...

Enabling the next level of ...

Maintenance and services

Automation and operation

Design andengineering

Data

analytics

Cloud & platform

technology

Cyber-

Security

Secure

connectivity

Artificial

Intelligence

Simulation

tools

Unrestricted© Siemens AG 2015 siemens.com

Thank you!Dr. Michael May,

Head of Company Core Technology Data Analytics & AI,

Siemens Corporate Technology,

[email protected]

Siemens Corporate Technology –

Technology Field Business Analytics & Monitoring

9 Locations world-wide to drive innovation in Advanced Analytics & AI