FEATURE: AI //////////////////////////////////////////////////////////////////////////
infrastructure and significant compute
power to work effectively. Traditional data
centres for healthcare organisations have
done reasonably well in terms of enabling
healthcare practitioners to deliver patient
care. But they were never built with the
intention of running the demanding data According to the PwC research I cited earlier,
33% of respondents believe that advanced
computers/robots, coupled with AI can make
a diagnosis faster and more accurately and
29% believe that it will help make better
treatment recommendations. However, for
this to be a reality, healthcare providers, in
TO ENABLE HEALTHCARE PROVIDERS
TO BENEFIT FROM THIS DATA, IT IS
INCREASINGLY LOOKING TOWARDS
ADVANCED REAL-TIME ANALYTICS AND
‘DEEP LEARNING’.
applications now being used. The future
with these applications, AI and machine
learning, requires a different approach to
data centre infrastructure, an approach with
a particular focus on storage, designed to
deliver massively-parallel access to data at a
very high bandwidth.
But here’s the dilemma, how do healthcare
organisations do this while dealing with
constrained budgets? The answer lies in
flash. An all-flash data platform, purpose
built for modern analytics and deep learning
can enable healthcare organisations to
realise the potential of AI faster and on
a far smaller footprint than traditional
infrastructure for high-performance
computing would provide.
40
INTELLIGENTCIO
the region, today require a data platform
that enables them to deploy a new class of
applications, to extract new insights from
data and to do so in real-time.
By ensuring innovations like AI and
advanced analytics are supported from
the data centre level up, they should be
able to run operations with cloud-like
agility, improve the economics of data
analytics at high velocity and scale, and
derive new insights to deliver data-driven
patient outcomes and results not possible
before. Ultimately, by transforming how the
organisation can handle and process data,
IT teams will enable practitioners to deliver
the best level of integrated care possible, to
more people. n
I
t can pose a small dilemma
knowing where to begin a
discussion around Artificial
Intelligence (AI) and all it brings with
it, but having thought about it I feel
it is best to start at the beginning
so: what is Artificial intelligence and
Machine Learning?
Good old Wikipedia defines it as: “The
ability of a computer program or a
machine to think and learn. It is also
a field of study which tries to make
computers smart.”
www.intelligentcio.com