software libre en la banca - experiencias del grupo santander con oss
TRANSCRIPT
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About the experience of Banco Santander with OSS
November 2014
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‹Nº›
Introduction
About the Grupo Santander activities on Open Source
Conclusions
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31 Introduction
GEOGRAPHIC PRESENCE INFRASTRUCTURE
BRANCHES 14.392
PCs 281.946
POS 495.785
ATMs 39.026
MAINFRAME186.000 MIPS
4,4 PB
SERVERS +50.000
STORAGE +40 PB
CUSTOMERS: 106 M EMPLOYEES: 182.958
Some numbers about Banco Santander
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Ubiquity of Mobility, Social Networks and Internet-of-Things are causing an explosive growth in the generation of data.
1 Introduction
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There is a lot of value that can be extracted from this haystack of data, but its nature has dramatically changed:
• Geo-localization of the user • Places that the user has visited • Shopping information • Places where the user makes the payments • People with whom the user has interacted • Websites that the user has visited • Interests that the user has made public
Data was always important, but its nature has changed:
• Variety: many new sources, specially unstructured data • Velocity: pace of data generation has exploded • Volume: we need to store all this data in order to analyse it
1 Introduction
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With their actions, clients make their data accessible to multiple players (giving apps permissions, posting comments in social networks, using aggregation services like in banking, continuously creating profiles,…)
Affordable massive storage capacity based on cloud infrastructure is available from providers like Amazon, Microsoft, etc
Thanks to Moore’s Law*, powerful computing infrastructure is available to everybody, from start-ups to large corporations
• Note: Moore’s Law applies strictly only to chip density. The equivalent for storage is Kryder's Law, and for data networks Gilder’s Law and Metcalfe's Law.
Moreover, data availability, storage capacity and process capabilities are becoming increasingly less
important as barriers to entry:
Data availability
Storage capacity
Process capabilities and communications
1 Introduction
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* “The Unreasonable Effectiveness of Data” (2009, P. Norvig et al.) * “The End of Theory: The Data Deluge Makes the Scientific Method Obsolete” (2008, Chris Anderson)
Machine learning on BigData is required for real-‐time reaction to customer behaviour
The shifting nature of data and the lack of barriers of entry make real time approach based on machine learning a must:
Capturing data is not enough. We need to use it for Real time and relevant reactionto customer behaviour:
• A highly data-driven approach for businesses is emerging.
• In some domains, statistical machine learning with enormous amounts of data has beaten traditional methods*
Even a great debate has started: “More Data Beats Better Algorithms?”
1 Introduction
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We are entering a new era in the history of computing
Nobody produced SW (except the HW providers).
HW became a commodity.
SW became the critical differentiator for businesses.
FuturePast
Focus shifts from transaction execution to Data capture and exploitation.
HW (cloud) and SW (OSS) are becoming critical enablers all together: the key drivers are usability and costs.
1 Introduction
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ERA of HW ERA of SW ERA of DATA
We are entering a new era in the history of computing
Nobody produced SW (except the HW providers).
HW became a commodity.
SW became the critical differentiator for businesses.
FuturePast
Focus shifts from transaction execution to Data capture and exploitation.
HW (cloud) and SW (OSS) are becoming critical enablers all together: the key drivers are usability and costs.
1 Introduction
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• The best way to control explosion of SW costs is the use of OSS
• If we add other features of OSS like vendor independence, greater innovation, community collaboration, and control over the evolution of SW
Then
But explosive growth in processing, produces an equal explosive growth in cost of proprietary SW:
Open Source Software (OSS) is inevitable and a key enabler of the Era of Data
1 Introduction
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103 Introduction
For us, embracing OSS is not about cheaper or free
We shift from vendor-dependence to SW-dependence. This is good, specially for mission-critical SW. We have more choices for SW maintenance and evolution.
It is easier to influence/participate in the strategic evolution of the SW that we use.
It is easier to innovate with a white-box approach (OSS) than with a black-box approach (proprietary SW).
Vendor independence
Strategic evolution of SW
Open innovation
Shift from traditional hierarchical SW development structure to a distributed collaborative development culture.
Change of internal development culture
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‹Nº›
Introduction
About the Grupo Santander activities on Open Source
Conclusions
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123 About the Grupo Santander activities on Open Source
OSS external communities We have 4 initiatives
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123 About the Grupo Santander activities on Open Source
1
OSS external communities
Consumption of OSS1
We have 4 initiatives
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123 About the Grupo Santander activities on Open Source
1
2
OSS external communities
Consumption of OSS
Production of OSS
1 2
We have 4 initiatives
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123 About the Grupo Santander activities on Open Source
1
2
OSS external communities
3
Consumption of OSS
Production of OSS
InnerSource (internal OSS)
1 2
3
We have 4 initiatives
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123 About the Grupo Santander activities on Open Source
1
2
4
OSS external communities
3
Consumption of OSS
Production of OSS
InnerSource (internal OSS)
Observatory of OSS
1 2
3
We have 4 initiatives
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Kosmos a PMF tool
Kid a PMF tool
eureka
Operation Services
3 About the Grupo Santander activities on Open Source
We have several Open Source initiatives developed internally in different stages of maturity…
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WE ARE PROUDLY SPONSORING SOME PROJECTS…
…AND GIVING BACK TO THE COMMUNITY
3 About the Grupo Santander activities on Open Source
…and external involvement too…
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WHERE WE ARE RUNNING SEVERAL APPLIED-‐RESEARCH PROJECTS
IS AN AGREEMENT WITH
3 About the Grupo Santander activities on Open Source
…and we have an open innovation collaboration with universities…
…with ambitious long-term objectives…
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163 About the Grupo Santander activities on Open Source
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CREATION OF AN OPEN PUBLIC-‐PRIVATE INNOVATION ECOSYSTEM FOR THE DEVELOPMENT AND PROMOTION OF “TECHNOLOGIES FOR THE DIGITAL BUSINESS”
• Promote the development and market introduction of technology, systems, services and applications for the new digital economy in an Open Source Software model
• Test and validate new business models associated to Open Ecosystems and Open Source Software
• Joint participation in international research programs with emphasis on the Public-Private Partnership model (eg. EU Horizon 2020)
• Improve the competences and skills of all the people participating in the ecosystem, specially of students graduating from the participating universities.
3 About the Grupo Santander activities on Open Source
…with ambitious long-term objectives…
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‹Nº›
Introduction
About the relevance of Open Source worldwide
About the Grupo Santander activities on Open Source
Conclusions
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194 Conclusions Take home messages
• Open Source Software is a critical enabler for the new Era of Data
• Europe has to aggressively promote pan-european Public-Private Partnerships around OSS and new business models for the Digital Economy
• This is critical to compete with USA (Amazon, Google, Apple,…) and Asia (Alibaba,…) in the number and size of digital innovative companies
• Banco Santander is willing to participate actively on such ambitious initiatives