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Karin Breitman

@kbreitman

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@kbreitman, PhD Chief Scientist – EMC Brazil R&D

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• R&D Center for Applied Research in Big

Data

• Inaugurated in May 2014.

• Corporate investment of US$ 100

million

• Located in Rio de Janeiro Technology Park

• Executive Briefing Center

EMC’S BRAZIL R&D CENTER

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Support Sales & Consulting Win the sale Footprint & Mindshare Exceptional delivery

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Research & Intellectual Property Invention Disclosures

Global Portfolio New products Replicable opportunities (O&G, Telco, Finance, Public Sector)

42 2.5B

TENNETS

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SEISMIC COMPRESSION Lossless Compression

Performed by EMC BRDC

Machine Learning

Parallel Processing

Compress seismic files Bit by bit lossless compression

Real pre-stack data Mobility and online access (speed is important) Storing (size is important)

Faster and more efficient algorithm Massive Parallelism

-500

0

500

1

116

231

346

461

576

691

806

921

1036

1151

1266

1381

1496

1611

1726

1841

1956

2071

2186

2301

2416

2531

2646

2761

2876

2991

A Seismic Trace

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CUSTOMER GEOLOCATION

Identification of customer geo-referenced patterns Customer segmentation Different chart analysis

Geo-referencing

Customer profiling, Roaming identification and Population movement patterns.

Call Detail Record (CDR) of network traffic (voice and data) CDRs from Rio de Janeiro city

Performed by EMC BRDC

Log Analytics

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ROAMING

ANALYSIS

USER

PROFILING

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Driver Ranking Fuel Consumption Predictor (e-Driver)

Machine

Learning Optimize fuel consumption based on past trips, geography, maintenance history and physical model (speed, acceleration, energy)

Relational DB 2 years of data 300 bus routes

Performed by EMC BRDC

Time-Series Analysis

Parallel Processing

Fuel Consumption Optimization

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IOT Uses GPS information to predict when a

bus will arrive

How to predict failures using machine sensors?

How do I help broadcasters create audience based content?

How to find anomalies and actions to leverage production of plants based on a large number of time series?

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Platform Economy

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Platforms

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CITIES OF THE FUTURE PaaS

PaaS that exposes data feeds and API’s for Internet-of-Things applications within a smart city context.

Performed by EMC BRDC

Machine Learning

How to manage massive and heterogeneous data that requires normalization and standardization to address Data Orchestration and integration

Geo-referencing

Time-Series Analysis

Real-Time

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ANALYTICS PLATFORM LAYER

DATA INTEGRATION

EMC Data Lake

traffic safety transport healthcare education

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KPIs

Metrics

ANALYTICS PLATFORM LAYER

DATA INTEGRATION

traffic safety transport healthcare education

EMC Data Lake

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KPIs

Metrics

APPS LAYER

ANALYTICS PLATFORM LAYER

DATA INTEGRATION

traffic safety transport healthcare education

EMC Data Lake

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privacy

portability security

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