winning the big data revolution: what businesses leaders need to know
DESCRIPTION
Tout le monde parle des big data. Mais peu nombreux sont ceux qui savent véritablement ce qu’ils désignent et surtout comment les entreprises peuvent les utiliser pour révéler leur véritable potentiel. Comment donner du sens à ces données ? Comment en faire un avantage compétitif majeur ? Comment sortir vainqueur de cette révolution ? A l’occasion de la sortie de son dernier ouvrage, dans lequel il explore le phénomène big data et les nouveaux business model qui sont en train d’émerger, Kenneth Cukier nous livrera, lors d’une keynote inédite, les clefs pour réussir cette transformation fondamentale. Speakers : Kenneth Cukier (The Economist)TRANSCRIPT
Winning the Big Data Revolution:What Business Leaders Need to Know
Kenneth CukierData Editor, The Economist Co-author “Big Data: A revolution that will transform how we live, work and think”
Microsoft TechDays, February 13, 2014
first, some questions…
how would you…-track economic growth
without measuring money?-uncover drug side-effects without a medical study?
- know when to buy a plane ticket?
a story…
howtechnology
datamindset
valuedata = resource
new raw materialvital economic input
BIGDATA?
more is different
THEN NOW2003 201310 years 2-3 days$1 billion $2-3,000
Time and cost of sequencing 3 billion base-pairs in a human genome
atoms to bits
atoms to bits
data to decision
atoms to bits
data to decisionengines; machines; etc.
information into insight
moremessy
correlations
moremessy
correlations
more more more more moremore more more more moremore more more more moremore more more more moremore more more more moremore more more more moremore more more more more
moremessy
correlations
messy messy messy messy messy messy messi messy messy messy messy messy messy messy messy meeey messy m ssy messy messy messy messy messy messs
moremessy
correlations
moremessy
correlations
moremessy
correlations
moremessy
correlations
“preemies”
“preemies”
16 real-time streams of vital signs 1,000+ datapoints per second
“preemies”
16 real-time streams of vital signs 1,000+ datapoints per second
more | messy | correlations
datafication
datafication
location
datafication
posture
datafication
datafication
datafication
datafication
datafication
floors, gait, earbuds, etc
datafication
store, share, process, useextract new value
value
who to hire?
valuereuse
valuereuseasset
valuereuseasset
eg, economic growth
valueskills, mindset, data
change
people & organisations
rivalry
rivalry
stuttgart vs. silicon valley
rivalry
big pharma vs. bing
Source: “Web-scale pharmacovigilance: listening to signals from the crowd.” White RW, Tatonetti NP, Shah NH, Altman RB, Horvitz E. J Am Med Inform Assoc. 2013 May 1;20(3):404-8.
access to data
risks
risksprivacy
risksprivacy
propensity
risksprivacy
propensityownership
deification of data
deification of data“data-ism”
next
legacy advantage
cultural advantage?
Pierre-Simon Marquis de Laplace
Pierre-Simon Marquis de Laplace
data scientist, 1749-1827
Charles Joseph Minard, 1869
