The most important skills of data scientists | Jose
Miguel Cansado |
Since 2006, Google CEO, Sergey Brin, has stated that 5 exabytes
of data have been created. Today, we are generating the same
amount of data every two days. This "big data" is being used for
a variety of purposes, such as profiling users for personalized
recommendations in areas such as health care and diagnosis,
predicting political revolutions, and understanding trends in
fashion. The key to turning data into insight lies in what we can
do that machines can't, such as being curious and having an
artist's brain. The renaissance of the 14th and 17th centuries was
the cultural force that drove humanity out of the middle ages and
into the modern era. The big data renaissance is already unveiled
as possibilities to push human progress forward with the power of
data. It is up to us to imagine what data and machines will do for
us, and to remember that a fool with a tool is still a fool.
Miguel Cansado |
Since 2006, Google CEO, Sergey Brin, has stated that 5 exabytes
of data have been created. Today, we are generating the same
amount of data every two days. This "big data" is being used for
a variety of purposes, such as profiling users for personalized
recommendations in areas such as health care and diagnosis,
predicting political revolutions, and understanding trends in
fashion. The key to turning data into insight lies in what we can
do that machines can't, such as being curious and having an
artist's brain. The renaissance of the 14th and 17th centuries was
the cultural force that drove humanity out of the middle ages and
into the modern era. The big data renaissance is already unveiled
as possibilities to push human progress forward with the power of
data. It is up to us to imagine what data and machines will do for
us, and to remember that a fool with a tool is still a fool.
