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big data at ericsson research

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Presentation on theme: "big data at ericsson research"— Presentation transcript:

1 big data at ericsson research
9/20/ big data at ericsson research Martin Svensson Data Research Manager Ericsson Research

2 Who am i? interest early recent now

3 R&d AT Ericsson R&D 2013 16 countries with R&D Centers
9/20/ R&d AT Ericsson R&D 2013 16 countries with R&D Centers 24100 R&D employees 32,8 BSEK in R&D Investment 33,000 Patents

4 Ericsson Research & Development
Ericsson Group Presentation 9/20/ 9/20/ 9/20/ Ericsson Research & Development R&D in Development Units Research and Development organized under Business Units Ericsson Research Part of Group Function Technology – reporting to Ericsson's CTO 4 4

5 Ericsson REsearch - Innovation starts here
9/20/ Ericsson REsearch - Innovation starts here Radio Access Technologies Helsinki sweden Wireless Access Networks aachen budapest beijing Silicon valley montreal pisa Broadband Technologies Packet Technologies chennai Multimedia Technologies Services and Software Global Services Research Cutting Edge Research 600 persons in a global organization Files over 50% of all Ericsson Patents 2G, 3G, 4G were all invented Here technology, Competence, Standards, IPR Security Sustainability and EMF

6 What we Offer Technology leadership IPR and patents
9/20/ What we Offer Technology leadership Cutting edge technology Test beds, articles and journal papers IPR and patents Standardization input People, expertise and competence Product support Concepts, features and tools Thought leadership White papers, demonstrations Value propositions University co-operations Conference contributions and participations

7 Technology Research for the Networked Society
9/20/ Technology Research for the Networked Society When one person connects, their life changes. When everything connects, the world changes. Hans Vestberg, Mobile World Congress 2012 Infrastructure Interaction, flexibility and distribution SLA scalability & deployment Data, Events & Information Coverage & Scalable Characteristics Cloud Delivery models Big data storage & processing Trust & privacy Telco in the cloud Network M2M support Coverage & Capacity Quality of Experience Resilience & robustness Services Verticals Open data Monitor & Control Proximity Devices Personal networks Range of devices Battery life Management Domain infrastructures Cloud & Data Users & Things Security Assurance Data Sustainability Environment Socioeconomics

8 Data Research areas Machine Learning Distributed Data
Data OSS/BSS Program Data Research areas Machine Learning Near RT-predict. Time series, Scalability Distributed Data Data sharding, Data store, data transfers, Intense multi access support Stream Processing Stream mining and ML algorithms, Streaming frameworks Information Modeling - Things and users associated to enterprises Graph and Meta-model abstraction layer, storages

9 Data Research in context
Data OSS/BSS Program Data Research in context OSS/BSS Networks Verticals Other

10 collaboration Machine Learning Databases Scalable & Real Time ?
Data OSS/BSS Program collaboration Machine Learning Databases Scalable & Real Time ?

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