IBM Systems Magazine, Mainframe - July/August 2017 - 48

HOT TOPICS

OPTIMIZED for the Enterprise
IBM Machine Learning for z/OS is supported by Apache Spark

B

usinesses must constantly adapt to changing conditions: competitors introduce
new offerings, consumer habits evolve, the economic and political environment
change, etc. While this isn't new, the velocity at which business conditions
change is accelerating. This pace of change places a new burden on technology
solutions developed for a business.
Mythili
Venkatakrishnan
is an IBM
Distinguished
Engineer and is
the z Systems
architecture and
technology lead
for analytics.
Jean-Francois
Puget
is an IBM
Distinguished
Engineer and IBM
Machine Learning
technical lead for
public and private
cloud divisions.

Over the years, application
developers moved from V-shaped
projects (with multiyear
turnaround) to agile development
methodologies (with turnaround
in months or quicker). This has
enabled businesses to adapt their
application and services much
more rapidly. Examples include:
* A sales forecasting system for
a retailer: The forecast must
take into account today's
market trends, not just those
from last month. And, for realtime personalization, it must
account for what happened as
recently as one hour ago.
* A product recommendation
system for a stockbroker: They
must leverage current interests,
trends and movements, not just
last month's
* A personalized healthcare
system: Offerings must be
tailored to an individual's
unique circumstance.
Healthcare devices, connected
using the Internet of Things
(IoT), can collect data on

human-machine interaction
and behavior.
These scenarios, and others like
them, create a unique opportunity
for machine learning, which was
designed to address the fluid
nature of these problems.
Machine learning moves
application development from
programming to training: Instead of
writing new code, the application
developer trains the same
application with new data. This is
a fundamental shift in application
development because new, updated
applications can be obtained
automatically on a weekly, if not
daily, basis. This shift is at the core
of the cognitive era in IT.
Machine learning enables
the automated production of

actionable insights where the
data is (i.e., where business value
is greatest). It's possible to build
machine learning systems that
learn from each user interaction,
or from new data collected by an
IoT device. These systems then
produce output that takes into
account the latest available data.
This wouldn't be possible with
traditional IT development, even
if agile methodologies were used.

Gather Information
While most clients understand
machine learning, too few are
turning this into action. They
are either slowed down by
concerns over their data assets
or they attempt it one time and
then curtail efforts, claiming the
results weren't worth continuing
with machine learning. These
are common concerns and
considerations, but they should
be recognized as items that are
easily surmounted, with the
right approach.
A common trap is to believe
that data is all that's needed for

48 // JULY/AUGUST 2017 ibmsystemsmag.com

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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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