The Future of Mobile and Big Data

GOODARZ MAHBOBI

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Technological and Industrial Revolution is in full swing

[General Electric ]

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Revolution Components

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Data in General

» According to IBM:2.5 – 3 exabytes / day

» Data is produced everywhere

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» 90% of data produced in the last two years» Amount will double every three years

Data in General

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Data in General

Swimming in data• Volume (big amount of data)• Variety (many data formats)• Velocity (high performance)• Value (valuable information)• Veracity (quality of data)• Volatility (storage of data)

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Revolution Components

Mobile

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Mobile

More IP devices than people

9[Gartner]

» Mobile changed the way the world communicates

» 1.5 Billion Smartphones in 2014 (Gartner)

Mobile

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Revolution Components

Cloud

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Cloud

[ Forrester ]

67% of adult internet users in the U.S. use personal cloud services

The Personal Cloud will replace the PC

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» APPs become more complex» Business processes

Mobile and Cloud

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Transformation of cultural institutions:Media Collaboration Platform

Cultural institutions» Museum of Modern Arts, New York» Städel Museum, Frankfurt (110.000 exhibits)» Hess. Landes- und Universitätsbibliothek

Conditions» Rapid adaptability » Flexible information retrieval » Mobile operation based on cloud-infrastructure

Mobile and Cloud

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Car 2.0

Mobile and Cloud

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Revolution Components

Collaboration

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Collaboration and Social

» Transformation of collaboration, use of networks, buying, selling and learning behavior, knowledge sharing

» New IT-approach

» People Processes Collaboration

Collaboration

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Revolution Components

Big Data

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Big Data

» What is Big Data?» Data fication

1. Clouding data

2. Data Warehousing

3. Trash data

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What is Big Data

Big Data

Valuable Information

Text

Pictures

Docu ment

s

Internet Sites, Web Forums, BlogsSocial Networks, eMails, Sensors

From an enourmous amount of data, only a small fraction is extracted as valuable data.

Expensive separation of useless and usefull informations

• Volume (big amount of data)• Variety (many data formats)• Velocity (high performance)• Value (valuable information)• Veracity (quality of data)• Volatility (storage of data)

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Big Data technologies

Big Data

For batch processing of big amounts of unstructured data the hadoop ecosystem is used. Big Data analysis is done with the MAP/REDUCE framework

For real time processing of huge amounts of data In-Memory databases are used

Use Cases: Analysis of Social Data, eMail Data, …

Use Cases: Real Time processing of sensor data or financial transactions

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Big Data is the way how discoveries will happen in future

Big Data

Google researchers found out by chance that certain search terms are good indicators of flu activity.

Today Google Flu Trends uses aggregated Google search data to estimate flu activity in the different countries.

In future from correlating huge amount of medical data new therapies could be discovered.

patient records

clinical study

Scientific publications

Compute correlations

with Big Data analytics

New therapies

Big Opportunities with Big Data Analytics

Big Data

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» Agile Organizations will take the lead

» Shortage of 140,000 to 190,000 people with deep analytical skills in the U.S. / 1.5 million managers and analysts

Consequences of the revolution

Consequences of the revolution

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The future of organizations

Traditional Organizations

» Inflexible IT-Systemsbased on application silos

» Business and administrative processes with media disruptions

» HierarchyInternal and external communication

» Limited information

Digital Organizations» Scalable IT-Systemsbased on cloud, mobile, big data and collaboration

» End-to-End processesbased on collaboration and real-time KPIs

» Social interactionwith employees, customers and partner

» 360° information

Consequences of the revolution

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Future of companies after the revolution

» Mobility» Big data» New organizational structures

Thank you for your attention!

+49 151 29 224 222

mahbobi@axxessio.com

GOODARZ MAHBOBI