Impact of AI and (Quantum) Computing for collaborative ... · omputing for collaborative...

Impact of AI and (Quantum) Computing for

collaborative governments in the Smart Machine Age

Pascal Huijbers

CTO Fujitsu Western Europe

Your future digital “smart” local government

1Copyright © FUJITSU 2019

Handcraftship

The smart Machine Age:

1780Industry 1.0

Copyright © FUJITSU 2019

Animals

Information

Paper

all is becoming smart:

Agrarian Society

Machines

Machine Age:

Vehicles

Knowledge

Low Cost Paper

1900Industry 2.0

1970Industry 3.0


Industrial Society

TODAY

Smart Machines - Smart Robots

Smart Autonomous Vehicles

Intelligence

Digital

The Second Machine Age

Smart Machine Age:


Industry 4.0 Society 5.0

Information Society

Smart Society

Turing testHow Smart is AI?


automatic speech recognition + translation

sound samples

Is she real?


Context recognition


AI Components

Knowledge Processing Decision & SupportSensing & Recognition

AIIn simple terms

Smart Machines

Artificial Intelligence

Computer Power

Digital Data

Smart Movers

SoftwareRobots

Smart Do-ers

AutonomousVehicles

Information basedRobots

Machines for„Do-Actions“


Smart Machines


Computer Power

Digital Data


1672 – Gulliver’s travel

1950 – Alan Turing proposes turing test

1951- First AI programs

1969 – Stanford: Shakey the robot

1969 – First AI conference on Stanford

1997 – Chess champion

2002 - Roomba – Vacuum cleaner

2005 – ASIMO walk as human

2009 – First autonomous car

2011 – Jeopardy Winner

2014 – Smartphone assistants

2015- Go champion

2017 – Poker champion

2018 – Language processing outscores top humans at Stanford

What can you do with AI Today?

Looking for Persons (face recognition)

Detecting Specific Suspicious People（looking for people by the color of the clothing, etc )

Detecting Unattended Objects

Congestion Detection

Customer Count at Shop

Optimization of Patrols

Illegal Parking

Predict demand

Analyze performance, problem,…

Discover insight, pattern,…

Detect incident, opportunity

Find people, content,…

De Slimme

digitale

samenleving


DIJKEN

VAARWATER

BRUGGENWEGEN

MOBILITEIT

Prevent Sinkholes

Cavity Underground pipe

Experienced operators take more than a month to analyze the over 500 kilometer underground data

Reduced to only 10% of the time taken for a

manual approach by using deep learning

BEFORE

AFTER

(W/ DL)

dep

th(m

)

90%

reduction

Prevent Sinkholes

Vehicle Type Recognition16

Visualize road traffic condition such as congestion, break-downs, car profiles, incidents, illegal parking on a single dashboard.

Road Infrastructure status and traffic monitoring

Copyright 2016 FUJITSU LIMITED

Recognition in Real World

28 Copyright 2016 FUJITSU

Never miss a beat with Predictive Maintenance

Facial Recognition19

20

SMART PARKING

Navigate DriverProvides Information for Decision-makingShows Available Parking

Occupancy by Area Trend

Occupancy by Slot Image Capture

Smart Parking

22 © 2018 FUJITSU

Question by talking

Change question (invoice) to the text formBanking

Customers

Answer text

Speech synthesis

Calls by Phone.

Read the text and start search by AI

AI ENGINE

AI Chatbot

Voice recognitionengine

(voice to text)

Speech synthesisengine

(text to speech)

Virtual agent - Chatbot with voice

23 © 2018 FUJITSU

Digital Transformation at 3 Levels

24 © 2018 FUJITSU

Digitale Arenas – Digitale EcoSystemen

• De grenzen van organisaties, overheden en industrieën worden vager en vloeibaar

• De waarde voor mensen (klanten, burgers) wordt gerealiseerd door co-creatiemet partners, burgers, en technologie leveranciers gebaseerd op gedeelde platformen.

Mobiliteit

Veiligheid

Kwaliteit van Leven

25 © 2018 FUJITSU

Hyperconnected API Economy

• Diverse digitalized products and services are connected via APIs, creating new Value

26 © 2018 FUJITSU

26Function-orientedAPIs

ApplicationAPIs

Credit scoring

Conversationtranslation

Delivery

planning

Demand

prediction

Image

recognition

Speech

to text

Emotion

recognition

Text

analysis

Knowledge

structuringClassification Inference Prediction

Dialog

generation

Handwritten-text recognition

Speech

synthesis

Line-of-sight

recognition

Speech

comprehension

Knowledge

searchingDiscrimination Optimization

Question-

answering

Video

recognition

Behavior

recognitionMatching

Traffic image

recognition

Mobility


API ECONOMY

27 © 2019 FUJITSU

TPU

DLU

Project brainwave

True North

Volta

Nervana

AI OptimizedHardware/CPU

AI Patents

DSSTNE

BIG SUR

Deep Learning Platforms

Market overview

AI

*Please see last slide for Trademark Legal Notice / © 2018 FUJITSU

28 © 2019 FUJITSUCopyright © FUJITSU 2017

How will AI affect you?

29 © 2019 FUJITSU

67%

59%

37%

85%

76%

Liberal and ArtisticConservative and Traditional

Organized and Hard WorkingImpulsive and Spontaneous

Engaged with outside worldContemplative

Team working and TrustingCompetitive

Easily Stressed and EmotionalLaid back and relaxed

30 © 2019 FUJITSU

The role of the employee


31 © 2019 FUJITSU

The RoleOf the employee

Administrative Staff

720,000

Factory Worker

301,000

Sales People

498,000

Almost four out of tenemployees run the chance to be replaced by computers, robots and other machines by 2035.

1. Lopende band medewerkers

2. Onderhoudsmonteur

3. Call Center medewerker

4. Sorteerder

5. Data entry

6. Verzekerings claim medewerker

7. Belastingaangiftevoorbereider

8. Verkoopmedewerker

9. Vertaler

10. Fast Food medewerker

Top10 banen


32 © 2019 FUJITSU

Quantum Computing andDigital Annealing

33 © 2019 FUJITSU


Computer Power

Digital Data

Cloud

Quantum Computing

Edge

Smart Organisations

1968 Supercomputers are slower then your smartphone

(Galaxy 7 or iPhone 7)

2019 for Quantum is

as 1968 for traditional systems.

36 © 2019 FUJITSUUnclassified

Why beyond classical computing

The Navier-Stokes equations

It's surprisingly difficult to explain what happens when you stir cream into your morning coffee.

NP Problem

Travelling salesmen problem. Longest route or verify shortest route.

Easy problems versus difficult problems

Cryptography

Unbreakable Encryption?


Quantum inspired Computer Hardware

1977 / 1981- NowGeneral Purpose Computer

Now

Digital Annealer

A quantum inspired computer hardwarethat can rapidly solve combinatorial optimisation

problems using existing semiconductor technology

2025 - 2030 Quantum Computer

?Brain-Like Computer

Traditional Digital Annealer Quantum Computer Brain-like


5 Minutes - Quantum Physics for CxO’s

40 © 2019 FUJITSU

Superposition

Traditional QUBIT / QUANTUM+BIT

0 1

“0” or “1” DIGITAL STATE

or

“0” and “1”QUANTUM STATE

Superposition0 1

Probability

41 © 2019 FUJITSU

Quantum Entanglement

QUBIT

Spooking action communication at a distance –Direct interaction

QUBIT

42 © 2019 FUJITSU

Quantum Tunnelling

Side One Side Two

NetTennis Court

QUBIT

44 © 2019 FUJITSU

What can all this power do?

It can solve problems exponentially and in parallel.

So what problems are exponentially complex?

45 © 2019 FUJITSU

Example cases

Automotive: Factory OptimizationCar manufacturers are looking to improve

production efficiencies in order to accelerate

deployment of new vehicles.

Bio/Material Science: Faster Molecular Similarity SearchChemical and pharmaceutical laboratories use molecular similarity

searching, which partially extracts molecule characteristics to search for

new substances and to develop new drugs.

Financial Services: Low-Risk Portfolio OptimizationA Digital Annealer powered portfolio solution finds the ideal investment

allocation to maximize returns by grouping stocks that correlate with price

variations, enabling portfolios to be managed with accuracy and reduced risk.

Retail: Personalized Digital MarketingUsing the Digital Annealer, marketing agencies and retail companies can

accurately and instantly deliver personalized content to existing and

prospective customers through engaging and targeted web content, thereby influencing their

purchase decisions.

46 © 2019 FUJITSU

Collaborationand Cloud in a Digital World

47 © 2019 FUJITSU

Predictions for the Public Sector

All levels of government see the top three game-changing technologies as ;

1) artificial intelligence (AI)/machine learning (27%),

2) data analytics/predictive analytics (22%) ,

3) cloud technologies (19%).

Source: (1) Gartner 2019 CIO Agenda Public Sector; (2) Tech Market View: Public Sector Predictions 2019

48 © 2019 FUJITSU

Cloud adoption in the Public Sector

Source: PAC: Insight analysis Public Sector; Bitglass: Raiders of EMEA Cloud Adoption Report; Smarter with Gartner; TechRadar

Gartner foresees double-digit growth in government use

of public cloud services WW, with spending forecast to

grow on average 17.1% per year through 2021.

Office 365 is the most widely adopted cloud application

across EMEA. Government organizations lead the way from

an industry perspective with a 41.6 percent adoption rate.

The UK Government has emerged as clear champion of cloud

services as way to improve flexibility and efficiency;

Public sector bodies are increasingly opting for Software-

as-a-Service to support application modernisation;

UK Government figures for the 2017/2018 year show that

around £1.1bn was spent on cloud services including hosting,

software and support which is more than double the £421m

spent in 2014/2015.

There is an increasing tendency among German public sector

institutions to consolidate IT infrastructures and applications. One

of the major steps is to bundle the development of IT applications

and services most commonly used at the federal level (application

consolidation) and set up a federal cloud ("Bundes-Cloud").

A lack of broadband and mobile network availability remains a

major obstacle and inhibits digital transformation and cloud

computing initiatives in a significant number of Municipalities;

Data security issues result in a pronounced reluctance in cloud

adoption, often even concerning private cloud delivery models;

https://www.gartner.com/smarterwithgartner/understanding-cloud-adoption-in-government/

https://www.techradar.com/news/uk-government-spending-pound1bn-on-cloud-transition

49 © 2019 FUJITSU

How governments are locally dealing with IT

Source: PAC: Insight analysis Public Sector;

Local authorities have been slow to embrace digital

transformation.

Many organizations simply haven’t been able to create the space

to fully consider the role technology has to play in improving

efficiency and effectiveness and have been held back by

concerns about legacy processes, political implications, security,

resource limitations, and a lack of technical/supplier knowledge.

The pace of cloud adoption in local government has lagged other

parts of the public sector and councils continue to be held back

by existing long-term infrastructure obligations, legacy processes

and limited revenue budgets relative to capex.

In Germany, although increasing, the level of coordination between

local initiatives is still rather weak.

At a municipal level, there are still political or personal constraints

hampering digitalization initiatives. While local IT managers are

better able to see the potential and possibilities of digital services for

citizens, some mayors may insist on not changing established (non-

digital and slow) processes too much.

There is an increasing tendency among local public sector

institutions to outsource data center, infrastructure, and application

services to IT service centers focused on administrative entities (in

most cases, these are institutions under public law, such as Dataport

or ITDZ Berlin).

The Dutch public sector has a highly decentralized structure of

local municipalities, education, and healthcare institutions;

Various tasks are being transferred from the central government to

local authorities. As a result, local institutions have an increasing

demand for external support in order to deal with new challenges.

50 © 2019 FUJITSU

Digital Business Platform

Digital Business Platform

TRADITIONAL(Robust IT)

Waterfall / AgileTraditional infraVirtualizationBare MetalCost CenterIT Technology

MODERN(Fast IT)

Scrum/DevOps,Cloud Native

PaaSPay as you go

Software definedAnything as a ServiceBusiness technology

Containers

HYBRID

Cloud Gemeenten


Computer Power

Digital Data

Cloud

Quantum Computing

Edge

Smart Organisations

53 FUJITSU RESTRICTED

Samenwerking voor Gemeenten op het gebied van Cloud

PRIVATE PUBLIC

SAAS

PAAS

IAAS

COMMMUNITY

Community Cloud (Gemeente Cloud)

Community cloud: The cloud infrastructure is provisioned for exclusive use by a specific community of consumers

from organizations that have shared concerns (e.g., mission, security requirements, policy, and compliance

considerations).It may be owned, managed, and operated by one or more of the organizations in the community, a

third party, or some combination of them, and it may exist on or off premises.

ON-Site Community Cloud (NIST) Off-site Community Cloud (NIST)

Aangewezen gemeente Aangewezen provider

Service Integration and Management (SIAM)

Local Government (Gemeente)

Cloud Services Management

Serv

ice

Cata

log

ue

Res

ourc

e Pr

ovis

ion

ing

Syst

em M

onit

orin

g

Bac

kup

& R

esto

re

Cost

An

alyt

ics

&

Pre

dic

tion

Syst

em B

luep

rin

tin

g

Cloud Service Management

Serv

ice

Man

agem

ent

Serv

ice

Rep

orti

ng

Serv

ice

Das

hb

oard

Iden

tity

& A

cces

s

Proc

ess

Aut

omat

ion

Serv

ice

Inn

ovat

ion

Service Security Supplier Process Technical

PRIVATECLOUD Data

CenterIaaS

PaaSDatabase Integration

StorageNetwork Compute

Container MessagingSOAJava TRADITIONAL

SaaS

SSC

SOC / SIEM

ApplicationOperations

Public Clouds

SAAS

Government Services Community

Cloud (local government)

56 © 2019 FUJITSU

VNG Scenario’s ‘afsprakenstelsel’ ??

Copyright 2018 FUJITSU LIMITED56

Standards only (books of standard) Technologische standaarden

Gegevensdefinities

Procurement Framework (incl agreements, criteria)

Generic (brokerage) services; Technical connections (incl integrator/connection/cloudbox)

Cloud Services Catalogue

Monitoring and reporting

Security services such as SOC/SIEM

Provisioning Platform of services

Identity and access framework (one login service for civil servants)

Backup and Restore , escrow

Core-infrastructure – Community Cloud

58 © 2019 FUJITSU

Den Haag

Amsterdam

Groningen

Zwolle

Arnhem

Main RegionLocal GovernmentCommunity Cloud

SCENARIO’s

61 © 2019 FUJITSU

Hybrid IT

Gartner, Hype Cycle for Cloud Computing, 2016, ZDnet

Hybrid IT will probably save costs from migrating everything to cloud. Why Hybrid IT?

■ Customers have plenty of applications that they probably will

never move to the cloud - or at least will not move to the cloud in

any kind of reasonable timeframe.

■ Lots of people are still running mainframe systems, that are

unlikely to end up going to the cloud. At least until the applications

themselves are replaced.

■ For those systems where there is no pressing need to move them

onto a cloud infrastructure, it can be better to avoid the expense

of doing so until necessary.

■ There isn't necessarily instant ROI on moving to the cloud.

Therefore customers may want to continue to run things the way

that they always have, at least until there is a precipitating event

that might require further investment.

■ The decision to pursue hybrid IT and keep running a legacy

system on existing architecture will likely cost less than building

out or buying into a private cloud infrastructure and re-architecting

systems to run on that new infrastructure.

■ The practice of connecting up the old and the new, of colocating

enterprise data centres alongside high-speed connections to

major public cloud platforms is growing.

http://www.zdnet.com/article/hybrid-cloud-why-hybrid-it-may-be-the-better-choice/

62 © 2019 FUJITSU

Simpel Model

Cloud Broker Model

Gemeente

CLOUD

CLOUD

BROKER

CloudModellenbroker

CLOUD

CLOUD

CLOUD

CLOUD

CLOUD

CLOUD

CLOUD

KLANT

KLANTFOCUS LEVERANCIERFOCUSBROKER FOCUS

63 © 2019 FUJITSU

SAASSAAS

Public Cloud

Afsprakenstelsel

Public Cloud

Gemeente

On-site Private Cloud

Gemeente Cloud

SAAS

Centrale Overheid

Gemeentelijke SSC

On-site Legacy

Sociaal Domein

64 © 2019 FUJITSU

SAASSAAS

Public Cloud

Afsprakenstelsel

Public Cloud

GemeenteGemeente

GemeenteGemeente

On-site Private Cloud

Gemeente Cloud

SAAS

Centrale Overheid

Gemeentelijke SSC

On-site Legacy

AFSPRAKENSTELSEL

Sociaal Domein

BROKER (VNG)

[email protected]

All product names, logos, and brands areproperty of their respective owners. All company, product and service names usedin these slides are for identification purposesonly. Use of these names, logos, and brandsdoes not imply endorsement.

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