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