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The Future of Mobile and Big Data
GOODARZ MAHBOBI
Technological and Industrial
Revolution is in full swing
[General Electric ]
2
Revolution Components
3
Data in General
» According to IBM:
2.5 – 3 exabytes / day
» Data is produced everywhere
4
» 90% of data produced in the last two years
» Amount will double every three years
Data in General
5
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)
6
Revolution Components
Mobile
7
Mobile
More IP devices than people
8
[Gartner]
» Mobile changed the way the world communicates
» 1.5 Billion Smartphones in 2014 (Gartner)
Mobile
9
Revolution Components
Cloud
10
Cloud
[ Forrester ]
67%
of adult internet users in the U.S.
use personal cloud services
The Personal Cloud will replace the PC
11
» APPs become more complex
» Business processes
Mobile and Cloud
12
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
13
Car 2.0
Mobile and Cloud
14
Revolution Components
Collaboration
15
Collaboration and Social
» Transformation of collaboration, use of networks,
buying, selling and learning behavior, knowledge
sharing
» New IT-approach
» People
Processes
Collaboration
16
Collaboration
Revolution Components
Big Data
17
Big Data
» What is Big Data?
» Data fication
1. Clouding data
2. Data Warehousing
3. Trash data
18
What is Big Data
19
Big Data
Valuable Information
Text
Pictur
es
Docu
ment
s
Internet Sites, Web Forums, Blogs
Social 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)
Big Data technologies
20
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
Big Data is the way how discoveries will happen in
future
21
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
22
» 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
23
The future of organizations
Traditional Organizations
» Inflexible IT-Systems
based on application silos
» Business and administrative
processes with media disruptions
» Hierarchy
Internal and external communication
» Limited information
Digital Organizations
» Scalable IT-Systems
based on cloud, mobile, big data and
collaboration
» End-to-End processes
based on collaboration and real-time
KPIs
» Social interaction
with employees, customers and
partner
» 360° information
Consequences of the revolution
24
Future of companies after the revolution
» Mobility
» Big data
» New organizational structures
25
Thank you for your attention!
+49 151 29 224 222
mahbobi@axxessio.com
GOODARZ MAHBOBI

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The future of mobile and big data

  • 1. The Future of Mobile and Big Data GOODARZ MAHBOBI
  • 2. Technological and Industrial Revolution is in full swing [General Electric ] 2
  • 4. Data in General » According to IBM: 2.5 – 3 exabytes / day » Data is produced everywhere 4
  • 5. » 90% of data produced in the last two years » Amount will double every three years Data in General 5
  • 6. 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) 6
  • 8. Mobile More IP devices than people 8
  • 9. [Gartner] » Mobile changed the way the world communicates » 1.5 Billion Smartphones in 2014 (Gartner) Mobile 9
  • 11. Cloud [ Forrester ] 67% of adult internet users in the U.S. use personal cloud services The Personal Cloud will replace the PC 11
  • 12. » APPs become more complex » Business processes Mobile and Cloud 12
  • 13. 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 13
  • 14. Car 2.0 Mobile and Cloud 14
  • 16. Collaboration and Social » Transformation of collaboration, use of networks, buying, selling and learning behavior, knowledge sharing » New IT-approach » People Processes Collaboration 16 Collaboration
  • 18. Big Data » What is Big Data? » Data fication 1. Clouding data 2. Data Warehousing 3. Trash data 18
  • 19. What is Big Data 19 Big Data Valuable Information Text Pictur es Docu ment s Internet Sites, Web Forums, Blogs Social 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)
  • 20. Big Data technologies 20 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
  • 21. Big Data is the way how discoveries will happen in future 21 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
  • 22. Big Opportunities with Big Data Analytics Big Data 22
  • 23. » 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 23
  • 24. The future of organizations Traditional Organizations » Inflexible IT-Systems based on application silos » Business and administrative processes with media disruptions » Hierarchy Internal and external communication » Limited information Digital Organizations » Scalable IT-Systems based on cloud, mobile, big data and collaboration » End-to-End processes based on collaboration and real-time KPIs » Social interaction with employees, customers and partner » 360° information Consequences of the revolution 24
  • 25. Future of companies after the revolution » Mobility » Big data » New organizational structures 25
  • 26. Thank you for your attention! +49 151 29 224 222 mahbobi@axxessio.com GOODARZ MAHBOBI