IBM Systems Magazine, Mainframe - July/August 2017 - 29

"Using machine
learning, data
scientists can uncover
new insights from
their data to support better
outcomes. These innovative insights will generate
new business
opportunities."
-Terrie Jacopi, IBM z Systems
IBM
months
analytics
offering
Machine
to deploy
manager
Learning
a model
for z/OS also
using traditional
lets application
methods. With IBM
developers use RESTful APIs
Machine Learning for z/OS,
to "call" a behavioral model to
models can now be deployed in
get a prediction. For example,
seconds. If the model needs to
if the business is struggling
be updated, that new iteration
with fraudulent credit card
also can be instantly deployed.
transactions, a data scientist
As a result, she adds, the data
using IBM Machine Learning for
scientist can "address business
z/OS can develop a credit card
problems faster and deliver
fraud detection model and deploy
greater value."
it. "RESTful APIs make it simpler
In addition, IBM Machine
for the application to leverage
Learning for z/OS incorporates
the output from the model,"
and employs a continuous
monitoring and feedback loop. As says Jacopi.
new data arises, a data scientist
must determine whether the
New Insights,
model developed months ago is
New Opportunities
still providing valid predictions.
Organizations can use machine
IBM Machine Learning for
learning-generated models to make
z/OS includes a dashboard that
operational improvements. One
provides a real-time view of
of Jacopi's clients, a healthcare
model accuracy. When deploying
company, has been seeking ways
a model, a data scientist can set
to help patients improve their
a threshold (e.g., if the model
health. The client has a great deal
degrades below 90 percent). IBM
of data on each of its customers,
Machine Learning for z/OS will
including lists of prescribed
notify the data scientist if and
medications and whether these
when the model accuracy falls
patients take their medications
below this level. He or she then
regularly. Based on this data and
can decide whether to refresh
other information, the company
the model with the new data to
can use machine learning to better
improve accuracy.
understand-and thus improve-

each customer's distinctive
health behaviors.
"It's looking for better
ways to pull together large
volumes of complex data, make
better recommendations and
improve client health," Jacopi
explains. "They want to help
their customers make better
choices and positively influence
their own healthcare. In this
scenario, patients lead healthier
lives and costs are lower, so
everyone wins."
Yes, digital data can be
overwhelming. But data is also
highly valuable, and it's crucial
to an organization's success
in the digital age. Big data not
only allows enterprises of all
kinds to better understand their
customers-it can also help them
better engage with and serve them.
"With IBM Machine Learning for
z/OS, data scientists will be even
more productive and valuable
to the organization," Jacopi
says. "Using machine learning,
data scientists can uncover new
insights from their data to support
better outcomes. These innovative
insights will generate new
business opportunities."
Gene Rebeck is a freelance writer
based in Duluth, Minnesota.

ibmsystemsmag.com JULY/AUGUST 2017 // 29

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6/13/17 10:11 AM


http://www.ibmsystemsmag.com

Table of Contents for the Digital Edition of IBM Systems Magazine, Mainframe - July/August 2017

Table of Contents
Editor's Desk: Learning About Cognitive Capabilities
Partner PoV: A Clear Picture: IT operational analytics tools can provide a view of management data
Trends: The Connected Mainframe: Java on z Systems delivers portability, security and other benefits
Currents: Keeping Out Risks: Secure Service Containers are a virtual appliance framework for sensitive workloads
IT Today: Protecting Your Crown Jewels: IBM Guardium updates help organizations reduce risk and demonstrate compliance
Feature: Accounting for the Future: Bankwest modernizes its mainframe integration environment with a RESTful API framework and Java
Cover Story: Modeling Machine Learning: Cognitive on IBM z gives clients the tools to make better, faster decisions
Feature: A Thoughtful Pairing: Keeping IBM Machine Learning z/OS next to the data on the mainframe enhances analytics
HotTECH Products
TECH Showcase: Plan for Protection: Five points to consider when preparing for backup and recovery
Hot Topics: Optimized for the Enterprise: IBM Machine Learning for z/OS is supported by Acache Spark
Solutions: JES2MAIL/JES2FTP V5.1, CASI Software; ReACT V5.0, Advanced Software Product Group Inc.; FDR/UPSTREAM Web Portal V2.0.00, INNOVATION Data Processing
Stop Run: Traveling Through Time: IBM archivist assists 'Hidden Figures' movie production with authentic artifacts
Reference Point - Global Events, Education, Resources for Mainframe
2017 Mainframe Solutions Edition
IBM Systems Magazine, Mainframe - July/August 2017 - Intro
IBM Systems Magazine, Mainframe - July/August 2017 - Cover1
IBM Systems Magazine, Mainframe - July/August 2017 - Cover2
IBM Systems Magazine, Mainframe - July/August 2017 - 1
IBM Systems Magazine, Mainframe - July/August 2017 - Table of Contents
IBM Systems Magazine, Mainframe - July/August 2017 - 3
IBM Systems Magazine, Mainframe - July/August 2017 - 4
IBM Systems Magazine, Mainframe - July/August 2017 - 5
IBM Systems Magazine, Mainframe - July/August 2017 - Editor's Desk: Learning About Cognitive Capabilities
IBM Systems Magazine, Mainframe - July/August 2017 - 7
IBM Systems Magazine, Mainframe - July/August 2017 - Partner PoV: A Clear Picture: IT operational analytics tools can provide a view of management data
IBM Systems Magazine, Mainframe - July/August 2017 - 9
IBM Systems Magazine, Mainframe - July/August 2017 - Trends: The Connected Mainframe: Java on z Systems delivers portability, security and other benefits
IBM Systems Magazine, Mainframe - July/August 2017 - 11
IBM Systems Magazine, Mainframe - July/August 2017 - 12
IBM Systems Magazine, Mainframe - July/August 2017 - Currents: Keeping Out Risks: Secure Service Containers are a virtual appliance framework for sensitive workloads
IBM Systems Magazine, Mainframe - July/August 2017 - 14
IBM Systems Magazine, Mainframe - July/August 2017 - 15
IBM Systems Magazine, Mainframe - July/August 2017 - IT Today: Protecting Your Crown Jewels: IBM Guardium updates help organizations reduce risk and demonstrate compliance
IBM Systems Magazine, Mainframe - July/August 2017 - 17
IBM Systems Magazine, Mainframe - July/August 2017 - 18
IBM Systems Magazine, Mainframe - July/August 2017 - 19
IBM Systems Magazine, Mainframe - July/August 2017 - Feature: Accounting for the Future: Bankwest modernizes its mainframe integration environment with a RESTful API framework and Java
IBM Systems Magazine, Mainframe - July/August 2017 - 21
IBM Systems Magazine, Mainframe - July/August 2017 - 22
IBM Systems Magazine, Mainframe - July/August 2017 - 23
IBM Systems Magazine, Mainframe - July/August 2017 - 24
IBM Systems Magazine, Mainframe - July/August 2017 - 25
IBM Systems Magazine, Mainframe - July/August 2017 - Cover Story: Modeling Machine Learning: Cognitive on IBM z gives clients the tools to make better, faster decisions
IBM Systems Magazine, Mainframe - July/August 2017 - 27
IBM Systems Magazine, Mainframe - July/August 2017 - 28
IBM Systems Magazine, Mainframe - July/August 2017 - 29
IBM Systems Magazine, Mainframe - July/August 2017 - Feature: A Thoughtful Pairing: Keeping IBM Machine Learning z/OS next to the data on the mainframe enhances analytics
IBM Systems Magazine, Mainframe - July/August 2017 - 31
IBM Systems Magazine, Mainframe - July/August 2017 - 32
IBM Systems Magazine, Mainframe - July/August 2017 - 33
IBM Systems Magazine, Mainframe - July/August 2017 - 34
IBM Systems Magazine, Mainframe - July/August 2017 - 35
IBM Systems Magazine, Mainframe - July/August 2017 - HotTECH Products
IBM Systems Magazine, Mainframe - July/August 2017 - 37
IBM Systems Magazine, Mainframe - July/August 2017 - 38
IBM Systems Magazine, Mainframe - July/August 2017 - 39
IBM Systems Magazine, Mainframe - July/August 2017 - 40
IBM Systems Magazine, Mainframe - July/August 2017 - TECH Showcase: Plan for Protection: Five points to consider when preparing for backup and recovery
IBM Systems Magazine, Mainframe - July/August 2017 - 42
IBM Systems Magazine, Mainframe - July/August 2017 - 43
IBM Systems Magazine, Mainframe - July/August 2017 - 44
IBM Systems Magazine, Mainframe - July/August 2017 - 45
IBM Systems Magazine, Mainframe - July/August 2017 - 46
IBM Systems Magazine, Mainframe - July/August 2017 - 47
IBM Systems Magazine, Mainframe - July/August 2017 - Hot Topics: Optimized for the Enterprise: IBM Machine Learning for z/OS is supported by Acache Spark
IBM Systems Magazine, Mainframe - July/August 2017 - 49
IBM Systems Magazine, Mainframe - July/August 2017 - 50
IBM Systems Magazine, Mainframe - July/August 2017 - 51
IBM Systems Magazine, Mainframe - July/August 2017 - 52
IBM Systems Magazine, Mainframe - July/August 2017 - 53
IBM Systems Magazine, Mainframe - July/August 2017 - Solutions: JES2MAIL/JES2FTP V5.1, CASI Software; ReACT V5.0, Advanced Software Product Group Inc.; FDR/UPSTREAM Web Portal V2.0.00, INNOVATION Data Processing
IBM Systems Magazine, Mainframe - July/August 2017 - 55
IBM Systems Magazine, Mainframe - July/August 2017 - Stop Run: Traveling Through Time: IBM archivist assists 'Hidden Figures' movie production with authentic artifacts
IBM Systems Magazine, Mainframe - July/August 2017 - Cover3
IBM Systems Magazine, Mainframe - July/August 2017 - Cover4
IBM Systems Magazine, Mainframe - July/August 2017 - Reference Point - Global Events, Education, Resources for Mainframe
IBM Systems Magazine, Mainframe - July/August 2017 - 2017 Mainframe Solutions Edition
IBM Systems Magazine, Mainframe - July/August 2017 - SE2
IBM Systems Magazine, Mainframe - July/August 2017 - SE3
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