G1 clustering - content convergence v2 jve

SAM Project: Co-funded by the EU FP7 Programme Nr.: 611312 www.socialisingaroundmedia.com © 2014 SAM consortium

Content Convergence

Juan Vte. Vidagany (TIE) – Brussels, 25th June 2014

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Context Awareness Dialogue Systems

Content

Syndication Digital Marketing

Innovation Mashups

and Widgets Social

Media Interactive Media

Opinion Mining Second

Screen Voice Recognition

Context Awareness Dialogue Systems

Content

Syndication Digital Marketing

Innovation Mashups

and Widgets Social

Media Interactive Media

Opinion Mining Second

Screen Voice Recognition

SAM Project: Co-funded by the EU FP7 Programme Nr.: 611312 www.socialisingaroundmedia.com © 2014 SAM consortium 1

Index

Consumption and Prosumption

And this leads to…

The Providers

Market is Prepared

Benefits

Future directions

Collaboration Maximisation


Consumption Prosumption

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Consumption and Prosumption

Access and sharing data is a

basic need

I want to access the data:

I own and keep control (*)

The data I know

The data I don´t know

So I want it:

Every-where (*)

Every-time

Every….

Maslow's 1943 paper on needs


And this leads to….

Attractive and useful representation of the data

Advanced user environments

Innovative data navigation

Data adaptation for different audiences (eg disabled, elderly…)

2nd Screen

Data Discovery

New ways of feeding and syndicating valid data to the user

New ways of characterising and linking and curate the data

New ways of gathering context information

Data Publishing

Innovative ways of accessing/distributing the data

Innovative ways of monetisation

Data Accessibility

Data Feedback

The need for a proper

Content Ecosystem


Where the focus should be in

4

And this leads to….

Person – Context

Value

Instead of users reaching for the data; it is the data, which reaches the user

Providers + Technology to make that possible


The Providers

Enhanced Content Production

Acquisition / UGC capture

Characterisation / Auto…

Linking

Publishing / Syndicating

Content Enriching through UGC

Brand and Consumer rules

Analysis

Objectives

Monetisation

User retention

Content Gathering/Enrichment

Brand reputation and coherence


Market is Prepared

2nd Screen: $8.9B by 2018

Digital Marketing: $77 Billion in 2016

Social networks: +1.850 Million Users


Market is Ready

Mary Meeker: 2015 will be

about 'findable data' and mobile

sensors / wearables

Tablet Units = Growing Faster

Than PCs Ever Did...+52%, 2013

Rise Of Invisible App

% Social referrals

6.5 hours on Twitter

9 hours on Facebook

TV that recognises user and recommends programs

Google Gesture


UGC growing

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UGC

Findable & Sharable Data = Still Early & Evolving Rapidly


...A fanbase shares, comments, curates, creates...

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UGC & Media


Benefits

User

Richer media prosumption experience

Data reaches the user in the context

Content providers

New ways of monetisation and audience retention

Fine-grained distribution mechanisms

Better feedback including qualitative information

Business opportunity for Software/Content providers


Future directions

Coherent data ecosystem

Integration / data characterisation and accessibility

Data as a Service

UGC availability and facilitation services

Personalisation – Person Centric

Personalised data discovery

Automatic summarisation and simplification of information for

disabled and elderly

Contextualisation – Context Centric

Dynamic contextual communities / Innovative Social interactions

Context-aware Content Presentation

Personalised + Contextualised

Advanced brand and consumer protection


Future Directions

Multi-Device and synchronisation

Inter-device communication and synchronisation

Automated Content Recognition

Multi-device media monetisation

Multi-device content addressability

Data representation

Augmented Reality

3D

Personal point of view

Advanced Social Media Data Mining


Collaboration for maximisation

Synergy development

Project #1

Project #2

Project #3

Provide:ACR Mechanism

Get: Contextual Data

Provide:: Video

Event Processing

Get: 2nd Screen Tech

Company #2

Provide::

Audio watermarking tech.Get: Proof of Concept


Maximised Collaboration

Full clustering

Too wide topics meaning that specific areas are slightly depicted

Commonality of concepts but commonality of interests is needed

Cooperate rather than be push

Different timing of projects

More networking/political than operational

No budget room for operational clustering

only strategic/operational

But if this is inverted:

Focus around 4-5 interrelated projects

Where there is common partners/interests

Where there is a ‘want’ vs a ‘push’

What TIE Kinetix previously saw and experienced in FiNES


Mini-Cluster Idea

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Organize a small group of projects to exchange

Projects technical level information

Results or partial results

About

Common interests / problems / approaches

Complementary features / results

Linked to actual project results

Enlarging scope with “minimal” effort

Creating a better / more general results joining efforts

There is a reason why projects chose their way!


Mini-Cluster approach / steps

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Exchange of information

Projects technical level information

Offers / Nice to Have / Needs Features Portfolio

Possible synergies detection

Selection(s) on portfolio

Teams synchronization

Projects exchange of info

and actions plans

Implement synergies


Results of previous experiences

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Collaboration maximisation

Mapping repository augmented/common implementation

Integration of 2 projects platforms

Use e-learning platform (in development) by the projects

iESA common workshop (4 projects)

Attending brokerage event at the HMI (Hannover Messe

Industrie).

As mini-cluster of FoF

As individual projects

9 FoF projects involved

Token to be passed in next meeting.


Many thanks for your attention!

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Any questions?

Any questions?

Juan Vte Vidagany

CTM RDI Projects Coordinator

TIE Kinetix

[email protected]

http://tiekinetix.com/innovation

G1 clustering - content convergence v2 jve

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