Innovacion abierta: 
endavant i seny! 
David Osimo, Laia Pujol 
Open Evidence 
1-12-2014 - DKV
Startup y grandes 
empresas: dos mundos 
incompatibles? 
Kodak Instagram 
Created in 1888 Created in 2010 
Top value: 30B ...
Trend 1: 
sharing 
economy 
Source: the economist
Los prosumers 
El usuario final como provededor de: 
• storage & server capacity (P2P), 
• connectivity (wifi sharing, mes...
Llegando a 
todos los 
sectores 
Source: http://blog-en.mila.com/2014/09/30/sharing-economy-in-europe/
Servicios que mejoran cuanta mas 
gente los utilizes 
6 
“Hands-on care by 
health professionals 
can't scale. One-on-one ...
Generando dinero
Consumo collaborativo
Trend 2: big data 
• More data 
• More granular, specific data 
• Real time data 
• From different datasets 
• “At its cor...
Growth of the Digital Universe from 2013 to 2020 
4.4 ZB 44 ZB 
Data from embedded systems (IoT) 
© IDC Visit us at IDC.co...
Examples of data: Big Data Market grows 6 
times faster than the traditional IT market 
Big Data Technologies and Services...
Vertical Market Big Data Heatmap 
Western Europe 
Volume Variety Velocity Value 
Intensity of 
Big Data 
Drivers 
Finance ...
El mercado de datos 
VC research training incubators other services regulators 
Data market 
Data landscape 
Data 
holders...
Predecir 
peliculas 
More data beat 
better algorythm
Predecir crimenes
Hasta predecir las hospitalisaciones
Data science as a service
Llegan los “datavores” 
• “Firms using data-driven decisionmaking have 5- 
6% higher productivity” (Brynolfsson et al 2012...
Trend 3: social computing
A different idea of technology 
• Traditionally, computing is about automation: 
technology substitutes humans, humans 
sh...
Social Machines 
21 
“The brilliance of social-software applications like 
Flickr, Delicious, and Technorati is that they ...
Enterprise 2.0: accessing micro-expertise 
22 innocentive.com
Traditional Enterprise apps Enterprise 2.0 
Mission Enable pre-defined groups/teams working 
closely together and/or relat...
Effects of enterprise 2.0 
• Black and Lynch estimate that changes in 
organizational capital may have accounted for 
appr...
Porque abrirse? 
Source: Open Evidence / UNDP
Thematic knowledge: peer to patent 
Decision rests with gov 
(USPTO)
Geographic coverage
User experience
IT skills
Many eyes and many hands
Networks and contacts
Trends que se refuerzan mutuamente 
Big data 
Social 
computing 
Sharing 
economy
Una nueva 
manera de 
innovar
Grandes empresas crecen 
• internal ecosystems for 
accelerated innovations, 
• Enterprise 2.0 platforms 
• incubator/acce...
Pero no es abertura total y 
indiscriminada! 
Fuente: http://ebiinterfaces.wordpress.com/2010/11/29/ux-people- 
autumn-201...
Ejemplo: PeerToPatent 
La Decision queda en el gobierno 
(USPTO)
Como abrirse 
Source: Open Evidence / UNDP
No importa cuantos, importa quien 
Ignoran 
Leen 
Comentan 
1000 
100 
10 
1 
Datos abiertos
1 reutilizador puede ser suficiente 
Source: www.bbc.co.uk/news/magazine-22223190
“Why investing on it until 
we don’t have clear ROI?”
“Why investing on it until 
we don’t have clear ROI?” 
Kodak CEO, 2005
Lo que se necesita 
Experiencia para 
decidir cuando y 
como abrirse 
Instrumentos de 
implementacion 
de alta calidad, 
u...
Gracias 
dosimo@open-evidence.com 
www.open-evidence.com 
@osimod
Upcoming SlideShare
Loading in …5
×

Presentation at board DKV Seguros

2,033 views

Published on

Presentation on innovation 2.0 at DKV.
Three trends: sharing economy, big data and social computing.
And a new way to innovate: smart openness.

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
2,033
On SlideShare
0
From Embeds
0
Number of Embeds
8
Actions
Shares
0
Downloads
11
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • The available storage capacity will decrease from 33% of the digital universe to only 15%
    Connected things from 20 to 30 billions from 7 to 15% of connectable things
  • Presentation at board DKV Seguros

    1. 1. Innovacion abierta: endavant i seny! David Osimo, Laia Pujol Open Evidence 1-12-2014 - DKV
    2. 2. Startup y grandes empresas: dos mundos incompatibles? Kodak Instagram Created in 1888 Created in 2010 Top value: 30B $ Top value: 1B $ Top employees: Top employees: 145.000 18 Today bankrupt Today part of Facebook
    3. 3. Trend 1: sharing economy Source: the economist
    4. 4. Los prosumers El usuario final como provededor de: • storage & server capacity (P2P), • connectivity (wifi sharing, mesh networks), content (youtube), taste/emotion (Amazon), contacts (Linkedin), relevance (Google Pagerank), reputation & feedback (Tripadvisor), – goods (eBay), – Funding (kickstarter) – Habitaciones (AIRbnb) – Taxi (Uber) » Anything else...
    5. 5. Llegando a todos los sectores Source: http://blog-en.mila.com/2014/09/30/sharing-economy-in-europe/
    6. 6. Servicios que mejoran cuanta mas gente los utilizes 6 “Hands-on care by health professionals can't scale. One-on-one advice from professional intermediaries, like librarians, can't scale. Networked peer support, research, and advice can scale. In other words: Altruism scales.” Susannah Fox ! "#$%&' ( ) *( +, -. %/, ( 0 "1 2, -() *(" +, -+( 5) /%#$( 3%4%&#$( 67#$) 4( http://egov20.wordpress.com/2011/11/03/collaborative-e-government-public-services-that-get-better-the-more-people-use-them/
    7. 7. Generando dinero
    8. 8. Consumo collaborativo
    9. 9. Trend 2: big data • More data • More granular, specific data • Real time data • From different datasets • “At its core, big data is about predictions”
    10. 10. Growth of the Digital Universe from 2013 to 2020 4.4 ZB 44 ZB Data from embedded systems (IoT) © IDC Visit us at IDC.com and follow us on Twitter: @IDC 10 Data on the cloud 20% Data on the cloud 40% 22% 37% Share of useful data on total 2% 10% 2013 2020 Source: IDC for EMC 2014
    11. 11. Examples of data: Big Data Market grows 6 times faster than the traditional IT market Big Data Technologies and Services Market, worldwide © IDC Visit us at IDC.com and follow us on Twitter: @IDC 11 € Bn 7.2 23.7 2012 2017 Source: IDC 2014 2.3 4.3 2.7 2013 - € Bn hardware software services
    12. 12. Vertical Market Big Data Heatmap Western Europe Volume Variety Velocity Value Intensity of Big Data Drivers Finance Process Manufacturing Discrete Manufacturing Retail/Wholesale Telecom/Media Utilities/Oil & Gas Prof. Services/Transport Government/Education Healthcare Total Hot High Medium Low Based on mean scores assigned by survey respondents
    13. 13. El mercado de datos VC research training incubators other services regulators Data market Data landscape Data holders Gov, Personal, Scientific, Business, Sensor data Marketplaces Knoema Quandl Dandelion Europeana ICT enablers: Radoop Talend Sensaris Analytics Teralytics ; SAS Captain Dash Datasift ; Spaziodati RapidMiner Vertical apps Exelate Kreditech Mendeley Doctoralia Data Users Gov Industry Civil society Enabling players Cross infrastructure Amazon MS-Azure SAP Google IBM
    14. 14. Predecir peliculas More data beat better algorythm
    15. 15. Predecir crimenes
    16. 16. Hasta predecir las hospitalisaciones
    17. 17. Data science as a service
    18. 18. Llegan los “datavores” • “Firms using data-driven decisionmaking have 5- 6% higher productivity” (Brynolfsson et al 2012) • “Datavores are 25 per cent more likely to say they launch products and services before competitors” Nesta 2013 • But “The coolest thing to do with your data will be thought of by someone else” – Rufus Pollock
    19. 19. Trend 3: social computing
    20. 20. A different idea of technology • Traditionally, computing is about automation: technology substitutes humans, humans should adapt • Social computing is about augmentation: technology adapts to and augments human capacity (Engelbart 1962) 20
    21. 21. Social Machines 21 “The brilliance of social-software applications like Flickr, Delicious, and Technorati is that they […] devote computing resources in ways that basically enhance communication, collaboration, and thinking rather than trying to substitute for them." http://www.technologyreview.com/InfoTech/wtr_14664,258,p1.html
    22. 22. Enterprise 2.0: accessing micro-expertise 22 innocentive.com
    23. 23. Traditional Enterprise apps Enterprise 2.0 Mission Enable pre-defined groups/teams working closely together and/or relatively formal collaborative relationships. Enable individuals to act in loose, ad-hoc collaborations with a potentially very large number of others. Relationship to organisational hierarchy Tools reflect the organizational hierarch and roles within them. Little link to organizational hierarchy Control of structure Centrally imposed and generally rigid controls Emergent (=emerges and evolves) Content originated by Specialists with authorisation All users - also emergent Control over users Users/participants are fixed and their roles pre-defined. Roles by choice and can evolve over time (emergent) Control mechanisms Formal, rules Norms, examples Change of content timescales Slow Rapid Delivery model Typically on premise commercially licensed software Range of delivery models including on premise, cloud, commercial, open source, stand-alone, suites or add-ins to E1.0 systems Range of participants Colleagues with similar or complementary job roles Anyone in the organization and potentially outside (e.g. customers) Links between participants Peer or hierarchical Links can be strong to non-existent (or 'potential') within the group Typical tools Knowledge management, knowledge repositories, decision automation Blogs, wikis, social networking, prediction markets Communication patterns One-to-one Many-to-many
    24. 24. Effects of enterprise 2.0 • Black and Lynch estimate that changes in organizational capital may have accounted for approximately 30 percent of output growth in the manufacturing sector. • Gant, Ichiniowski and Shaw find robust evidence of positive impact of connective capital – defined as workers’ access to the knowledge and skills of other workers-on productivity (relevance for E2.0). 24
    25. 25. Porque abrirse? Source: Open Evidence / UNDP
    26. 26. Thematic knowledge: peer to patent Decision rests with gov (USPTO)
    27. 27. Geographic coverage
    28. 28. User experience
    29. 29. IT skills
    30. 30. Many eyes and many hands
    31. 31. Networks and contacts
    32. 32. Trends que se refuerzan mutuamente Big data Social computing Sharing economy
    33. 33. Una nueva manera de innovar
    34. 34. Grandes empresas crecen • internal ecosystems for accelerated innovations, • Enterprise 2.0 platforms • incubator/accelerator programs, • seed-funds, • cross-disciplinary networks, • ‘beyond the pill’ business models • Intrapreneurship • coworking • BBVA, Bohringer, Deutsche Telekom, BBC, Johnson & Johnson, Telefonica, Philips... Fuentes: www.intrapreneurshipconference.com/ cbinsights.com
    35. 35. Pero no es abertura total y indiscriminada! Fuente: http://ebiinterfaces.wordpress.com/2010/11/29/ux-people- autumn-2010-talks/
    36. 36. Ejemplo: PeerToPatent La Decision queda en el gobierno (USPTO)
    37. 37. Como abrirse Source: Open Evidence / UNDP
    38. 38. No importa cuantos, importa quien Ignoran Leen Comentan 1000 100 10 1 Datos abiertos
    39. 39. 1 reutilizador puede ser suficiente Source: www.bbc.co.uk/news/magazine-22223190
    40. 40. “Why investing on it until we don’t have clear ROI?”
    41. 41. “Why investing on it until we don’t have clear ROI?” Kodak CEO, 2005
    42. 42. Lo que se necesita Experiencia para decidir cuando y como abrirse Instrumentos de implementacion de alta calidad, usabilidad y design Metodos robustos para evaluar input, output y impacto
    43. 43. Gracias dosimo@open-evidence.com www.open-evidence.com @osimod

    ×