IBM Systems Magazine, Power Systems - February 2018 - 20
"If you don't incorporate AI in your
business, you will get disrupted."
analytics can't keep up with
the flood of data coming into
enterprises today. A different,
cognitive approach is needed, says
Dylan J. Boday, offering manger,
Cognitive Infrastructure. Such an
approach uses algorithms that
continually learn to sift quickly
through the information and derive
value from it, just as humans do.
Enterprises use AI to improve
product design and boost sales.
"Using the massive amounts of
data available, you can make
the right, higher quality product
the end user really wants
and generate the insights to
recommend it when the customer
is searching," Boday notes.
Embarking on the AI journey is
imperative for business success
today. "If you don't incorporate
AI in your business, you will get
disrupted," says El-Hallak.
Applying deep learning adds
intelligence to the analytics
process. It also prevents
enterprise amnesia, which is the
gap between the data created and
insights that are gleaned from the
data. "Throughout this process,
you are getting to know your
clients better and improving client
experiences," he adds.
Applications for leveraging
AI exist across market sectors
due to the tremendous value it
* Artificial intelligence (AI) can help clients
improve product designs and boost sales.
* IBM offers solutions to assist enterprises at
every stage of their AI journey.
* The POWER9 processor is specifically designed
to tackle the demands of AI workloads.
20 // FEBRUARY 2018 ibmsystemsmag.com
provides by improving business
outcomes. Use cases are endless,
including a bank in China using
computer vision to prevent
physical ATM theft by detecting
and signaling an alarm when
a person approaches the ATM
wearing a mask; in media where
entertainment companies use
computer vision to assemble
trailers in hours as opposed to
watching 30 days of footage; and
large steel manufacturers using
deep learning to identify errors
early in the production process,
Threat detection, where AI
applications can search for either
objects or persons of interest,
is a particular use case that will
continue to grow in importance.
With the value of PowerAI and
IBM Power Systems AC922,
these models can be made more
accurate and iterated upon much
faster, Boday says.
Enterprises use many AI models
to improve customer experiences.
A bank employs natural language
processing to assess the tone
and sentiment when a customer
calls. Based on that data, AI uses
another model to serve up the
PHOTOGRAPHY BY MATT CARR
-Adel El-Hallak, director of product management,
IBM Cognitive Systems