3. New world of data: a failed $100m+ bet on ‘belief’
4. New world of data: language & the quantified self
5. New world of data: language & the quantified self
What if we were able to take the quantified
use of metadata, a computing-based narrative
of humanity, and integrate it with centuries of
human narrative and storytelling?
Thanassis Rikakis, Carnegie Mellon University
http://www.wwtid.com/2012/11/18/the-big-pivot-part-3/
10. Data + collaborative insight = action
Collaborative Reporting
Assemble a
Narrative
Create a shared narrative by
instantly assembling 1 3
observations into an interactive
microsite.
2
1 Each thumbnail reveals
the Observation’s
content.
2 Graphs can be
annotated to call out
pertinent insights
3 See which
Observations have
received comments
since your last visit.
11. Algorithms alone are not enough
How we track social performance
Algorithms + analysis + crowdsourcing
Memcached
AWS S3 Cassandra Cassandra MySQL Farm
Social
Raw Signal Signal Metrics
Business
Storage Repository Store
Graph
Normalization Enrichment Analysis Analytics
• AWS Server Farm for • NLP and Semantic • Machine Learning Insight
API and Screen Analysis for • Hadoop based Insight
• Cluster Analysis
scraping Adaptors relationship Discovery Identification
• Crowdsourcing
Operation for Data QA
and Sourcing
32. How do we ‘manage’ people?
Just the simple act of
“publicizing” those numbers
— not in a cruel way, but a
“where are we at as a
group?” way — has kept the
support process on-task and,
I think, made it a bit more like
a video game.
35. What does data-driven social business look like?
• Open data by default
• Social analytics applied
internally as well as
externally
• Collaborative insights >>
action
• Greater self-management
through access to real-
time data
• Better find, subscribe
and filtering tools for
individuals