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Data for Good, Data for Evil
& the Aggregation of Everything
@BillBoorman, MD Innovation Technology
#truFounder
This is not me.
“Dataclysm by Christian Rudder”
"Because we can doesn't mean we should"
“You are who you interact with.”
"Because we can doesn't mean we should"
Data for Good
“Because we can doesn’t mean we should.”
"Because we can doesn't mean we should"
Data for Evil
The Data Miners
“Business Data v Personal Data”
"Because we can doesn't mean we should"
“Privacy by Design”
"Because we can doesn't mean we should"
“A Shift in Favor of Privacy-By-Design”
As we recently saw with the fall-out from #UberGate, where Uber openly touted their
‘God View’ application that enabled employees to track the location of Uber riders.
Without safeguards around data usage, data joining, access and anonymization – the
unintended consequences of big data can be destructive to not just the reputation of a
single business, but potentially an entire ecosystem.
Nick Halstead: Founder Datasift
“Involuntary Data in the Internet of Things”
"Because we can doesn't mean we should"
The Rise of The Guess Machines
“Cause v Coincidence”
"Because we can doesn't mean we should"
“Coincidence - A coincidence is a sequence of events
that, although accidental, seem to have been
planned, arranged, or correlated.”
“Cause = Effect”
"Because we can doesn't mean we should"
The Aggregation of Everything
“Your EVP: We are going to spy on your personal
data.”
"Because we can doesn't mean we should"
Find me, friend me, follow me, poke me.
Let’s stay connected.

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