Data FusionSRIA

Foresight Seminar28.1.2015

Matti Vakkuri, Tieto

Sami Uski, Tieto

DATA FUSION - BACKGROUND

The change is inevitable and disruptive.

Data Fusion - Bridging physical and digital realms

The mission of the Data Fusion SRIA program is to support the global trend, contribute to emerging ecosystems and boost Finnish international competitiveness through

intelligent technologies linked to new data-driven services that add measurable value, leading to increased knowledge, comfort, productivity or effectiveness.

The target is to be reached by developing intelligent methods and tools for managing, refining and utilizing physical and digital data fusion, and by creating new, innovative

data-driven business models and services based on these methods.

The program utilizes Big Data research, innovation and business.

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DATA FUSION - MAIN OBJECTIVES (Draft)

• Data fusion in intelligent finance advisory and preventive services

• Mobility Explained in logistics

• Interactive Analytics and Management for Big Data in healthcare and retail

• Data-driven Market Intelligence and sctionable data-driven Business in online commerce

• Competitive and renewed forest cluster through digitalized wood supply and ecosystem services

• Insight Fusion in Mechanical industry, field service of large industrial systems

• Guaranteed Quality-of-Life for the Young Elderly

• Social Media and Open Data to sharpen real-time enterprise decision making

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DATA FUSION IN INTELLIGENT FINACE ADVISORY AND PREVENTIVE SERVICES - MAIN OBJECTIVES

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Starting point is WHY -

Customer needs?

MacroChanging attitudes and

behavioural patterns

MesoDirecting processes

and customer journeys

MicroFacilitating

interactions and

experiences

Data fusion

HOW?

Cognitive

Computing

HOW?

Affect on

customer experience

and Behaviour?

Affect on business models?

DATA FUSION IN INTELLIGENT FINACE ADVISORY AND PREVENTIVE SERVICES - RESEARCH THEMES (Draft)

Data fusion and cognitive computing empowering smarter

finance advisory, context driven services and risk analysis

for personal pricing, and preventive services

Preliminary study scenarios:

1. Intelligent customer services – congitive computing

to bring intelligence to customer service situations, fasten expert

advisory and provide preventive analysis

2. Context driven personal finance propositions –

leverage risk analysis with artificial intelligence combined with

power of the crowd (growdfunding, crowdadvisory,

crowdlending)

3. Preventive services – risk analysis, visualisation and

delivering solutions to consumer situation to prevent foreseen

outcomes and change consumer behaviour on the basis of

cognitive computing and data fusion of crowdinformation,

personal information and artificial information.

3 SCHENARIOS WITHIN SMARTER FINANCES

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Researchthemes

#1 Intelligentcustomerservice

#2 Personal,context drivenpropositions

#3 Preventiveservices

Ingestion (Open API)

Storing(Big Data)

Analyzing(Information)

Visualization(Knowledge)

Hypothesisoutcomes

WISER WEALTHIER HEALTHIER

Level of analysis MICRO MESO MACRO

Affect on business models

Actions

How to collect data? What are the Sources of data?

How to provide outcomes to consumer situations?

How to manage data fusion?

How leverage cognitive computing?

How affects the business models within

ecosystem? And consumer actions?.

Study effects on

Customer

Experience

DRAFT RESEARCH THEMES in DATA FUSION (Draft)

• Studies to identify user groups and their characteristics and mobility needs

• Designing viable services that fulfill the recognized mobility needs

• Analysis methods for rich, streaming, crowdsourced Mobility Big Data

• Business models for additional players (eg. Crowdsourcing)

• Actionable analysis results and visualizations via symbiotic computing

• Aligning open and proprietary data

• Scalable machine learning and big models, modeling complex heterogeneous data

• Data and method sharing access in platforms and solutions

• Rapid real-world testing and adaptation

• Service pilots in real environment with real users and data

• Estimation of reliability, impact and veracity of noisy signals such as social media sources; working with sensitive data

• On-line and off-line analytics for multimodal Big Data streams

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DATA FUSION - INITIAL BREAKTHROUGH TARGETS

• New innovative applications

• Common platform for implementation and integration

• Nev Business ecoystems to gain competetive edge

• National synergy and International collaboration (e.g. NSF-CVDI)

• Guaranteed Quality-of-Life measured with already existing metrics and demonstrated within personal ecosystems

• Human centric tools for designing and managing services improving quality of life in everyday contexts

• Innovation in Financial Products & Services concepts to support diverse Forms of Life for the Young Elderly

• Leverage Big Data to generate insights leading to creation and managing of adaptive and disruptive humane services

• Added value for wood based value chain

• Co-creative intelligent services for decision making support through predictiveanalysis

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TENTATIVE PARTNERS - ENTERPRISES

• A-lehdet

• Benete

• Blue Lake Communications

• Centria

• Cloud’n’Sci

• Combitech

• Comptel

• CSC

• Driveco

• Ekahau

• Everon

• Federation of Finnish Financial Services

• Finnish Meteorological Institute

• Fortum

• Giosg

• Ineo

• Infotripla

• JD Forestry

• Konecranes

• LähiTapiola

• M-Brain

• Metsä Group

• Metsäteho

• Miina Sillanpään Säätiö

• Mobisoft

• Nokia Networks

• Nokia Technologies

• Noptel

• Packet Video

• Ponsse

• Stora Enso

• Tieto

• UPM

• Vidamin

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TENTATIVE PARTNERS - RESEARCH

• Aalto University

• Arcada University of Applied Science

• Finnish Meteorological Institute

• Tampere University of Technology

• University of Helsinki

• University of Jyväskylä

• University of Oulu

• University of Tampere

• University of Turku

• VTT

• Åbo Akademi

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WHAT KIND OF PARTNERS ARE NEEDED

• Finance

– Bank

– Insurance

– Pension

• Healthcare

• Telecom

• Retail

• Manufacturing

• Media

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CONTACT PERSONS

• Matti Vakkuri matti.vakkuri@tieto.com +358 40 512 6894

• Sami Uski sami.uski@tieto.com +358 40 515 1230

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IF INTERESTED - ACT

• Send email to data-fusion-sria-interested-partners@digile.fi

• Content

– Name of the interested organization

– Name of the contact person

– Potential interesting research themes

– Intial annual budget for participation

– Willingness to participate in writing the SRIA

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