Emerging technologies for the Public Sector · Big Data & Analytics Mobility Enterprise Cloud...

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February 2017 Emerging technologies for the Public Sector Aljosa Pasic, Atos

Transcript of Emerging technologies for the Public Sector · Big Data & Analytics Mobility Enterprise Cloud...

Page 1: Emerging technologies for the Public Sector · Big Data & Analytics Mobility Enterprise Cloud Social Network computing / SaaS Digitalization Business Services Service Integration

February 2017

Emerging technologies for the Public Sector Aljosa Pasic, Atos

Page 2: Emerging technologies for the Public Sector · Big Data & Analytics Mobility Enterprise Cloud Social Network computing / SaaS Digitalization Business Services Service Integration

Why Atos ?

3,634 bn€

3,089 bn€

2,084 bn€

1,878 bn€

Manufacturing, Retail & Transportation

Telcos, Media & Utilities

Financial Services

Public sector

2

Semantics

Tax, State Treasury & Customs

eGovernment

Healthcare MyCity

Bluetooth Medical Device Profile

CNS_GEMMA

Civil & National Security

SAP for Public, Tax, State Treasury and Customs

Case Management

Education

2014 2015 2016 2017

Digital Security

Analytics and Visualization

The Economy of Data

IT Agility

Privacy Enhancing Techs

Secure Community Cloud

Sensor Networks

Student Lifecycle Systems

Telemedicine

3D

Predictive Analytics

Semantic Data Integration

Semantic Interoperability

Software Defined Radio

Domotics

Next Gen ID Mgmt

Artificial Intelligence

New Weapons

Quantum Cryptography

Stealth Technology

Virtual Reality

https://atos.net/en/industries/central-government https://atos.net/en/industries/local-government-cities …also defence, education, healthcare

https://ascent.atos.net/

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Research & Innovation Public

Public Sector & ICT technologies

1. What are we talking about when we talk about technologies for public sector ?

2. Which are the characteristics to have in mind ?

▶ Gartner: information, interaction, transaction and transformation

▶ Layne and Lee: horizontal and vertical integration

▶ Gottschalk and Saether: work process, knowledge sharing, value creation, strategy alignment

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Research & Innovation Public

Creating value for citizens

and business through

innovation

Cost, quality, security and

speed of application

portfolio

Anticipating and

leveraging new trends

Market dynamics and trends

Economic down-turn since 2007

More demanding

users

Reduction of IT budget

Security and GRC

Management

Big Data & Analytics

Mobility

Enterprise Social Network Cloud

computing / SaaS

Digitalization Business Services

Service Integration

Business Process Integration &

Mgt.

Transformation driven by technology

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Research & Innovation Public

Dynamics of changes in ICT

Needs for global

collaboration

and awarness

Enrichment

by abstraction

Platforms

Composition

Need for flexibility,

fast reaction…

Evolution by

fragmentation

Specialised services

Fragmentation

Conceptual leap

with need for

degree of

freedom

Public Sector

metamorphosis

New Model

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Research & Innovation Public

The 3 drivers for ICT changes in Public Sector

Collaborating with

People, Machines and

Virtual Beings

Mastering the

Technologies of

Disruption

Addressing Ever

Changing Challenges

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Research & Innovation Public

Citizen-centric

“Citizen issue before technology”

Experience-guided

“User-experience anytime, anywhere”

Data -driven

“Dig in the mountain of data”

Platform-based

“Reference patterns and cloud services”

Shapes

Gu

ides

Shapes

Gu

ides

How to increase adoption of emerging technologies?

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Research & Innovation Public

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Citizen-Centric ?

Healthcare

services

Citizens need to be at the center of the design, development and delivery of public services.

▶ deliver public services in line with citizen’s expectations :

– always accessible , from anywhere, at anytime , and from any device

▶ do more with less : improve the quality of services delivered and make budget savings

▶ evolve and quickly adapt public services :

– personalized services for citizen communities, maybe even for individual citizens

– transforming public services to take advantage of new data sources and big data benefits

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Research & Innovation Public

▶ The solution is always embedded in a context: political, organizational, administrative, operational, device etc

▶ Crossing context boundaries has always been a challenge

▶ Automation of (some) physical & virtual context information management e.g. context data gathering and processing should be a must

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Research & Innovation Public

▶ Data from multiple actors, assets and resources – personalized service composition and delivery

▶ Examples:

– your passport needs renewal

– your consumption of CO2 has been reduced, therefore you get free voucher for citybike

– your process at this moment can be executed in this multi-cloud setting

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Research & Innovation Public Platform-based ?

▶ Platform was always in the “core” e-gov thinking (e.g. One stop shop is reusing front-end and authentication reuse)

▶ Components and software reuse (open source reuse)

▶ Infrastructure reuse (storage as a service)

▶ Knowledge reuse (schemes, taxonomies)

▶ Data reuse (Opinion mining)

▶ Citizens and business as “partners”, service co-creators or prosumers (stakeholder onboarding)

▶ Government as a service – platform for all of this?

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Research & Innovation Public

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Challenges: Scale, diversity, automation, relationships, context, dynamicity…

Regulators

Software

manufacturers

Service Provider

Angry citizen

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Research & Innovation Public

Evolution of FutureGov Explosion, expansion and emergence

FutureGov

Personalization

Control

Interoperability

Collaboration

Expanding

Identities

Exploding

Data

Evolving

Infrastructure

Emerging

Regulations

Accountability

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Research & Innovation Public But we have technology already ?

Computers are useless. They can only give you answers.

Pablo Picasso

Painter

(1981-1973)

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2015

Thank you Atos Research & Innovation [email protected]

Atos, the Atos logo, Atos Consulting, Atos Worldline, Atos Sphere, Atos Cloud and Atos WorldGrid

are registered trademarks of Atos SA. June 2011

© 2011 Atos. Confidential information owned by Atos, to be used by the recipient only. This document, or any part of it, may not be reproduced, copied, circulated and/or distributed nor quoted without prior written approval from Atos.

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Identity and privacy lab 2016+ Input from ARI (Alberto Crespo)

Privacy-preserving computation

Privacy transparency enhancement tool (Privacy Dashboard)

Secure identity broker for clouds

Private Identity Access Manager

New Generation Anonymization for Big Data

Transformational

Low

Now Year 1 Year 2 Year 3 Year 4

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Data lab 2016+ Input from ARI (Tomas Pariente)

Data integration and fusion

Data privacy and security in integrated environment

Deep learning and other innovative analytics

Blueprints of big data architectures

Transformational

Low

Now Year 1 Year 2 Year 3 Year 4

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Cloud lab 2016+ Input from ARI (Ana Juan)

Cloud service marketplaces

Cloud service Brokerage / Aggregation

Micro-services Architectures

Dynamic MultiCloud migration

XaaS Multi-Cloud Service management

Mobile/Things Clouds "Fog Computing"

SLA Management

Ad-hoc Local/ Mobile Clouds

Cloud network composite management - BoD

Advanced Multi-tenancy management

Scalability based on Application loads

prediction and container based

Eco-efficiency

Trust Models

Transformational

Low

Now Year 1 Year 2 Year 3 Year 4

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Internet of everything lab 2016+ Input from ARI (Jose Gato)

open APIs for IoT integration

Smart gateways

Secure IoT

Low energy consuption IoT

Polyglot frameworks

Transformational

Low

Now Year 1 Year 2 Year 3 Year 4

Time series data services

Real time event notification

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Cybersecurity lab 2016+ Input from ARI (Rodrigo Diaz)

Cloud security proxy

Operational technology security

Integrated risk, context based security

Continous security monitoring

Software defined security

Transformational Low

Now Year 1 Year 2 Year 3 Year 4

Security analytics

Trusted brokers

Self adaptive security

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Interplay of policy and technology

▶ EU Policy

▶ Global Market trends

▶ Business Demand

▶ Challenges and ideas

▶ Analysis and assessment in realistic operational environment

▶ Ideas for cost efficient improvements

Top-Down

Bottom-Up

Controls

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▶ More trust : cloud brokers, data sharing…

▶ Less trust : “zero trust” concept

▶ More speed: automation, situational awareness

▶ Less speed : encrypt everything

▶ Big data: security intelligence from unstructured sources analysis

▶ Small data : targeted time-limited collaboration

▶ Software defined : policy is the king

▶ Hardware defined : HCE, TPM…

▶ Put awareness everywhere : context-aware, privacy-aware…

▶ Put risk everywhere: risk driven reporting, risk based auth…

▶ Put cost everywhere: back to BUSINESS DEMAND !!!!

Practice as market analyst trends

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Practice as open (future) challenges

▶ Requirements: how to decompose and validate high level concepts (compliance, privacy, trust, risk…) and link them to security requirements and operational events?

▶ Scale: how to reason about millions of events in (near) real time (streamreasoning)?

▶ Dynamicity: how to model dynamic characteristics of trust, business etc (e.g. dynamic prioritisation according to dynamic risk perception) ?

▶ Domains of control and cross-layers: how to correlate events from different sources/channels (address new threats) ?

▶ Risk/Cost: how to achieve optimal security (e.g. Context-aware configurations) at optimal cost?

▶ Assurance/accountability: how to establish end-to-end (E2E) assurance with justifiable and composable evidences?

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Cybersecurity research

▶ Some projects manage to cross the

gap between “solution to a challenge” (use case) and “real demand side need” (business case)

▶ Demand side does not know what the need will be in 4 years from now, so market trend and challenge driven research is predominating

▶ Research projects in cybersecurity are

TOO long: continuous refocusing, fine-tuning and better targeting is needed

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What about identity and cybersecurity?

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Identity Contexts and Conflicts

Cultural, Societal, Organisational, Legal….

Possible conflicts: usability, accountability…

“Dr. Jekyll, table for two?”

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Emerging business trends and sec challenges

Data

revolution

Internet of

Things

Open delivery

platforms

New data availability, networks and processing services are being deployed. This brings technical challenge which will require a huge investment

New intelligent devices and sensors offer new possibilities for information and analysis and open the door to new automation and control possibilities

A new way of service deployment: • Use only what you

need and pay only what you use (Cloud)

• Open innovation ecosystems where apps from different parties may be combined and delivered multi-screen

I II III

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Need of privacy & security FOR BD !!!!

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Impact analysis for society at large ?

▶BD results and Post-use impact

– Discrimination

– Data divide

– Power imbalance

– Echo chambers

▶Risk treatment ? : cultural and societal awareness and capacity building