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0 Copyright 2016 FUJITSU Fujitsu Forum 2016 #FujitsuForum

Applying AI, Big Data and Data Analytics for Social Innovation

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Page 1: Applying AI, Big Data and Data Analytics for Social Innovation

0 Copyright 2016 FUJITSU

Fujitsu Forum 2016

#FujitsuForum

Page 2: Applying AI, Big Data and Data Analytics for Social Innovation

1 Copyright 2016 FUJITSU

Applying AI, Big Data and Data Analytics for Social Innovation

Dr Adel Rouz

Executive Vice President

Fujitsu Laboratories of Europe

Page 3: Applying AI, Big Data and Data Analytics for Social Innovation

2 Copyright 2016 FUJITSU

Fujitsu Vision Digital Transformation and Business

Portfolio of technologies and services, driving digital transformation

2

IoT

Mobile

Cloud

SDCI

Analytics

AI

Security

Integrated Computing

Human Centric

Innovation

Copyright 2016 FUJITSU

Page 4: Applying AI, Big Data and Data Analytics for Social Innovation

3 Copyright 2016 FUJITSU

Fujitsu Vision - Digital Transformation and Business

What are the key drivers for social innovation?

Personal wellbeing

Society and the global economy

Advances in the Internet of Things

Digital transformation

Achieving a sustainable society

Page 5: Applying AI, Big Data and Data Analytics for Social Innovation

4 Copyright 2016 FUJITSU

Successful Digital Transformation Requires…

New digital solutions

Requires:

Modernizing of existing core systems

Integration and management of complex hybrid IT landscape

Mobility, Analytics, IoT, AI & Robotics

Moving infra/apps to the cloud, linking data to new

systems

Hybrid IT services and 3rd party cloud management

MetaArc: the right blend of digital and cloud solutions, backed by professional and managed services

Page 6: Applying AI, Big Data and Data Analytics for Social Innovation

5 Copyright 2016 FUJITSU

MetaArc Digitalize with Confidence

MetaArc delivers Digital Transformation.

MetaArc comprises a comprehensive set of Solutions, Services, Cutting Edge Technologies and Engages our Eco-system of Partners.

Page 7: Applying AI, Big Data and Data Analytics for Social Innovation

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New Domains

New Business Models

New Technologies

Fujitsu Laboratories

Fujitsu Group

Leading the digital transformation process and supporting Fujitsu Group businesses

The Role of the Laboratories

Page 8: Applying AI, Big Data and Data Analytics for Social Innovation

7 Copyright 2016 FUJITSU

Fujitsu R&D – The Global Perspective

CEO: Shigeru Sasaki

R&D Budget: approx 230 million EUR

Employees: 1,440 (worldwide - 1200 in Japan, 240 overseas)

Fujitsu Laboratories of America (USA - established 1993)

Fujitsu Laboratories of Europe (UK & Spain - established 2001)

Fujitsu Research and Development Center (China - established 1998)

Fujitsu Laboratories Atsugi Laboratories (Japan - established 1983)

Fujitsu Laboratories Kawasaki Laboratories (Japan - established 1968)

Page 9: Applying AI, Big Data and Data Analytics for Social Innovation

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84 projects in Japan - 58 projects in 11 countries

Open Innovation around the World

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Act Local - Think Global – Deliver Local

Off-shore research leveraging exceptional researchers

Discovering regional technology trends

Technology dissemination to raise global presence

“Act local” activities targeting discovery of new businesses

Page 11: Applying AI, Big Data and Data Analytics for Social Innovation

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A Comprehensive Framework for AI

10

ee p l e a rn i n g

Neuroscience

Machine learning

Social receptivity Simulation

- Image recognition

- Voice recognition

- Emotion/state

recognition

- Natural-language

processing

- Knowledge processing

& discovery

- Pattern discovery

- Inference &

Planning

- Prediction &

optimization

- Interactivity &

recommendation

Human Centric AI Zinrai

Sensing and Recognition Knowledge Processing Decision and support

Learning

Advanced research

Deep learning Machine learning Reinforcement learning

Neuroscience Social receptivity Simulation

People / Businesses / Society Actuation Sensing

- Image recognition - Voice recognition - Emotion/state recognition

- Natural-language processing - Knowledge processing & discovery - Pattern discovery

- Inference & Planning - Prediction & optimization - Interactivity & recommendation

Copyright 2016 FUJITSU

Page 12: Applying AI, Big Data and Data Analytics for Social Innovation

11 Copyright 2016 FUJITSU

Fujitsu’s Capabilities for Deep Learning*

Time-series data Graph data Image Speech Text

Company A:

White male

Age: 30

Cloth:

Gray Backpack

: Pink

Person recognition

Handwriting recognition

Leveraged by

Topological Data Analysis

Coverage of Fujitsu’s technologies Coverage of state-of-the-art

*Deep Learning: A breakthrough technology of machine learning

Vehicle recognition

Original technology Practical application Original technology

Page 13: Applying AI, Big Data and Data Analytics for Social Innovation

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Biology

Graph Data Appear in Various Business Domains

Drug Discovery /Healthcare

Graph data that expresses

relationships between people

and things

Cyber Security IoT/Mobile

Supply Chain Fintech

Internet

Person

Person

Person

Person

lend

lend lend

Device

Device

Device

Device

connect

connect connect

C

C

C C

bond

C

C

N

bond bond

bond

bond bond

bond

Social Networks

e.g. peer-to-peer lending

e.g. chemical compounds

e.g. communication between devices

Page 14: Applying AI, Big Data and Data Analytics for Social Innovation

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Mobility

Advancing AI for Social Innovation – Deep Learning

Finance

Health Energy

Fujitsu Laboratories of Europe has developed advanced data analytics solutions for social innovation

New deep learning technology has proven successful in several applications areas, such as:

Time series search engine for financial data analysis

Promoting safe driving behaviour

Automating quality control processes

Security Manufacturing

Manufacturing

£ €

$ ¥

Quality Control

Mobility Finance

Security

Fraud Analytics

Trend Analysis Social

Innovation

Health Energy

Smart Energy

Human Behavior Detection

Predictive Health

Page 15: Applying AI, Big Data and Data Analytics for Social Innovation

14 Copyright 2016 FUJITSU

Deep Learning (DL) Imagification Method

We have shown that CNN-based similarity matching can be used to identify trends and patterns in time series data

Imagification of time series: we introduced a machine learning analogue to a natural, visual approach to time series analysis

Convolutional neural networks (CNNs) have proved to outperform other methods in image classification task

Page 16: Applying AI, Big Data and Data Analytics for Social Innovation

15 Copyright 2016 FUJITSU

Enhancing Financial Trend Analysis

£ €

$

¥

Finance

Driver Safety

Trend Analytics

TREND ANALYSIS IN FINANCIAL KPIs Efficient search for specific trends in historical data

(e.g. bullish and bearish) Support financial predictive analysis based on past

behaviour patterns

Enable pattern correlation search across heterogeneous data sources (e.g. stock and news)

Page 17: Applying AI, Big Data and Data Analytics for Social Innovation

16 Copyright 2016 FUJITSU

Promoting Safer Driving Behaviour

Car Insurance Scenario: insurance companies provide customer with wearable device

Detecting micro-gestures that suggest poor driving habits

Reward customers who show less of these habits

Mobility

Driver Safety

Driving Behaviour

Page 18: Applying AI, Big Data and Data Analytics for Social Innovation

17 Copyright 2016 FUJITSU

Automating Flaw Detection for Quality Control

Steel pipes welding Road construction Bridges structures Rail tracks Fibreglass structures

There is a range of industrial applications that require thorough quality control and maintenance

Ultrasonic testing is a non-destructive testing method widely used to detect flaws in materials and large structures

Successfully applied its deep learning imagification method to detect flaws in ultrasound scan data

Page 19: Applying AI, Big Data and Data Analytics for Social Innovation

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Social Innovation in Healthcare - HIKARI

A key collaboration between the Hospital Clínico San Carlos in Madrid and Fujitsu

Shedding new “Light” on clinical decision-making

Aggregated, anonymized and integrated data from clinical and non-clinical sources

Faster, improved clinical decision-making with high risk assessment accuracy

Diagnosis assessment, Risk estimation & Resource utilization

Improving clinical practice through the use of the most advanced ICT

Page 20: Applying AI, Big Data and Data Analytics for Social Innovation

19 Copyright 2016 FUJITSU

Co-creation and Collaboration: Powerful Combination

Collaboration and co-creation with San Carlos Clinical Hospital: potentially saving patients’ lives

AI and the cloud: helping diagnose and treat mental illness, with full patient privacy.

Technology with the potential to change many medical fields dramatically

Healthcare Open Data

33215 Diagnoses

61491 Drugs

5944 Symptoms

1,242,192 scientific papers

339 SNOMED concepts

Page 21: Applying AI, Big Data and Data Analytics for Social Innovation

20 Copyright 2016 FUJITSU

The Technologies behind HIKARI

Page 22: Applying AI, Big Data and Data Analytics for Social Innovation

21 Copyright 2016 FUJITSU

HIKARI Field Trial with San Carlos Clinical Hospital

Page 23: Applying AI, Big Data and Data Analytics for Social Innovation

22 Copyright 2016 FUJITSU

Social Innovation in Finance – HighStreet

Stock quotes

Financial reports

Entity Identification LEI (Legal Entity Identifier)

Interstage

XWand

GUI

Open Data

Social network data

Closed Data

Open Data

Other datasets

Statistical analysis

LEI Legal Name

5493005CFBXSYW5GPY75 Fujitsu Semiconductor America,

549300YLMTY3ZX2TZA50 Fujitsu Consulting (Canada)

549300H3CSSW5SL7UO45 Fujitsu Network Communications,

5493000VZXXWZ5FNGC76 Fujitsu Ten Corp. of America

Outputs

Advanced knowledge processing

Models

Knowledge

Storage

SKOS DataCube

Page 24: Applying AI, Big Data and Data Analytics for Social Innovation

23 Copyright 2016 FUJITSU

HighStreet – Key Benefits

Potential customers for HighStreet in the financial context are individual banks and regulators.

The underlying technology can be applied by any organization that needs to analyze information from heterogeneous data sources.

HighStreet allows customers to add value to their data by merging open and private sources.

HighStreet offers advanced data analysis powered by an AI engine.

Page 25: Applying AI, Big Data and Data Analytics for Social Innovation

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Relation Discovery from News

Domain knowledge from

Relation Mining

Knowledge Graph

News feed from

HighStreet Data Platform

Page 26: Applying AI, Big Data and Data Analytics for Social Innovation

25 Copyright 2016 FUJITSU

Human Centric Innovation

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Human Empowerment

Connected Infrastructure

Sensors

Smart Home

Smart Cars

Smart Factory

Smart Agriculture

Smart Healthcare

Smart City

Robots

Better Experience

Quality of Life

Creative work

Decision support

Acquiring knowledge and skill

Information from people and things

Business and social information

Information Analysis

Algorithms and AI

Security and Privacy

Copyright 2016 FUJITSU

Creative Intelligence

Page 27: Applying AI, Big Data and Data Analytics for Social Innovation

26 Copyright 2016 FUJITSU