IBM Systems Magazine, Power Systems - December 2017 - 14
be taken of the mole. That photo
is analyzed based upon data and
models that are created from years
of worldwide data-not just what
that individual doctor has seen
before or been trained to identify.
It pulls out insights to make
recommendations to the doctor on
whether the mole is melanoma.
But it still comes down to the
doctor, knowing that particular
patient's history and knowing
how they have worked with this
patient in the past to make a final
recommendation. But now that
recommendation is augmented by
an additional set of information,
based upon data that the doctor
normally wouldn't have access to.
ISM: Why is cognitive gaining
traction with IBM clients now?
SC: IBM clients are now realizing
the competitive advantages that
can come from cognitive insights.
The key convergence enabling
that transformation is the growing
amount of data and the software
techniques of neural networks
combined with new infrastructure
technologies, like POWER8* and
now POWER9*, that can deeply
exploit acceleration. This combination opens up a whole new
world of possibilities.
Growing amounts of data such as
sentiment data from social media
and inputs from the Internet of
Things can augment a business'
core data. And now infrastructure
compute capabilities can be
supplemented by acceleration and
software capabilities that come
together to take all of that data and
pull out insight.
The combination of the
changes in types and amounts of
data combined with changes in
technology-both hardware and
software-allows clients to transition
from the age of transactions to the
age of insight. It's about pulling
insights-rapid, accurate insights-
out of lots and lots of data.
"IBM's goal is to
every client. It will
be imperative for
clients of all sizes
to participate in
this age of insight
if they want to
ISM: What's the role of the
Power Systems platform?
Does infrastructure matter?
SC: In the ability to deliver on cognitive workloads, the infrastructure matters-it absolutely matters.
Infrastructure designed for data
and acceleration has enabled the
revolution of cognitive that we
see today. In addition, however, it
has to be easily consumable and
aligned to the software and the
tools that developers use.
IBM has built the POWER*
architecture to be a beast for data.
It consumes data; it processes
data; it drives data throughput;
it just plain works on data better
than any other architecture in
the industry. We've proven that
capability in our AIX* and IBM i
offerings for years and now we've
taken on the demands of Linux*
and cognitive workloads.
The POWER8* processor
represented a huge step, taking
data throughput to a new level and
enabling broader participation
14 // DECEMBER 2017 ibmsystemsmag.com
on data; they
insights from all
types of data
in the Linux ecosystem with
little endian support. It also took
system-level computing a leap
further by talking to accelerators
in a differentiated way. Through
interfaces like Coherent Accelerated
Processor Interface (CAPI) and
NVLink, acceleration technologies
like field-programmable gate arrays
(FPGAs) and graphical processor
units (GPUs) can be exploited
with POWER in an industryleading way.
The POWER9* processor
takes that strategy to the next
level. With POWER9, IBM will
deliver a leap in data throughput
and compute capability, which
will bring huge value to AIX,
IBM i and Linux clients. The
acceleration capabilities vault
forward as well. CAPI and
OpenCAPI will have greater
bandwidth, and NVLink for
GPUs will double its bandwidth
But IBM Cognitive Systems
isn't just about delivering the