//////////////////////////////////////////////////////////////////////////
There’s no doubt that these technologies
provide incredible advantages across a
wide range of industries. In healthcare, the
application of real-time analytics can help to
detect and diagnose diseases faster, reduce
time-to-treatment, lower costs and eventually
lead to better patient care and outcomes. flash storage, the lab has also significantly
reduced the time needed to sequence data-
intensive DNA samples and analyse results.
As a result, researchers and clinicians can
generate valuable new insights and, in
some cases, deliver faster answers to life-
and-death questions.
We’ve seen the potential impact of this
with the AMPLab at UC Berkeley, which
developed a real-time analytics engine
to analyse genetic make-up. This analysis
allows doctors to deliver medicine which
is more precisely tailored towards each
patient. By combining this engine with But implementing advanced real-time
analytics or an AI project isn’t that
simple. Huge amounts of data needs to
be processed and analysed at speed, in
order to make the split-second decisions
that the technology is capable of. As a
result, these projects need a very solid
www.intelligentcio.com
FEATURE: AI
Christian Putz, Director, Emerging,
EMEA, Pure Storage
INTELLIGENTCIO
39