Other common challenges relate to
having incomplete or unreliable data.
Many companies are still using hap-
hazard data capture methods that
don’t update in real time, while others
have no clear system for making
sense of their data and putting it to
effective use. Unless it can be acti-
vated, data is a useless resource, so
this is a real missed opportunity.”
As society becomes ever-more data-
hungry, the correct management of said
data will only become more important.
Taming the vast volumes of data
produced daily will be key to the
continuing improvement of artificial
intelligence, as Cole explains: “80%
of the time spent by data scientists
is in manipulating data to get it into
a form that is useful. Repeatable auto-
mated and intelligent capability around
data capture, lineage tracing, quality
and insight for AI and machine learn-
ing are required to standardise data
management in an open and trans-
parent manner.”67technologymagazine.com