Government Challenges With Big Data: A Semantic Web Strategy for Big Data
Big Data and the Semantic Web
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Transcript of Big Data and the Semantic Web
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Dr. Richard BenjaminsDirector Business IntelligenceTelefonica Digital
Big Data – Big opportunities – Big risks? An industry perspectiveAnd what about the Semantic Web?
Telefonica Digital
© 2013
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Index
The Big Data opportunity
What is Big Data?
Big Data risks
What role can businesses play?
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Context: Telefonica Digital
Conclusions
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And what about The Semantic Web?
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3Telefonica Digital
Telefonica Digital is Telefonica’s digital arm01
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The Big Data Opportunity
McKinsey McKinsey
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Big Data
Big Business
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But also society will benefit from big data02
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And data keeps growing exponentially02
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But what is Big Data
Dave Feinleib, Forbes blog
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1. Big Data is Only About Massive Data Volume2. Big Data Means Hadoop3. Big Data Means Unstructured Data4. Big Data is for Social Media Feeds and Sentiment
Analysis5. NoSQL means No SQL
Gartner’s Hype Cycle: technologies, use cases, new sources of data
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A closer look at where Big Data sitsFrom a telco perspective
Type of Big Data
OTT/Telco Cost of data collection
By product/ seeking
Batch/real-time
Strength of telco?
Social media OTT Low Active Both No
Web logs Both Low Passive Both No
Network data (telco)
Telco High Passive Both Yes
M2M (sensor) data
Both High Active Both Might
Open data OTT Low Both Batch No
Transact. data Both Medium Passive Both No
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But be aware of the privacy time bomb
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Three Mile Island accident killed the nuclear industry in
the US
Regulators are watching
Data “scandals” abound
“It’s Tracking Your Every Move and You May Not Even Know”
“Betrayed by our own data”
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There is increasing awareness of what customer data companies store
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And not only companies …04
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Are you aware where your data is going?04
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The industry is learning by doing04
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Society is also evolving, but in what direction?
Ignorance
• Customers are largely unaware of what is happening
Trading
• Customers make an explicit trade-off for each service
Wanting?
• Are customers wanting organizations to use their (personal) data to improve their lives?
Key evolving data concepts:• Individual, aggregated, anonymized• Customer consent (ex/implicit – opt-in/out)• Legal ≠ accepted by society
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PI Economy“Big Data”“Old wine in new bottles”
So how can businesses play in the Big Data space?
Different “business” models with different maturities and different risks
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Leverage data to understand and
improve business (x/up sell, churn)
and products
Data = improved business
Recognize that digital data is
delicate (privacy) Turn that into an
opportunity
Data = risk = business
Insights that help improve
businesses and governments
Data = business
Leverage data for targeting users
with relevant ads and higher CTR and conversion
Data = better advertising
M2MSmart cities
Improve services
Advertising Access to insights
Become a gatekeeper of personal data
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Conclusions
Find your position on three key dimensions
“Bigness” of data
Va
lue
“Bigness” of data “Bigness” of data
Priv
acy
ris
k
Na
tive
big
da
ta t
ech
no
log
y
Value Risk Tech
Apps
Insights
Processed data
Raw data
Anonymous data
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And what about the Semantic Web and Big Data?
Some observations
from an outsider
(once an insider)
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Achievements - 2013 – Is semantic web mainstream?
Early adopters?
Credits?
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Some trends related to Semantic Web
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Semantic web and data trends
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Is Semantic Web hopping on the latest band wagons?
Semantic search
Semantic integration
Open data
Big data
What if we mapped Semantic Web
EU projects on those topics and timeline?
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Semantic Web and Gartner’s Hype Cycles
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2006 – 5 to 10 years for reaching mainstream
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2009 – more than 10 years to go
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2012 – more than 10 years to go
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26Telefonica Digital
So what should be the role of Semantic Web in Big Data such that it can have a real impact?
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