IBM Systems Magazine, Mainframe - July/August 2017 - 49

a successful machine learning
project. Machine learning projects
that start with a large amount of
data, but lack a clear business
goal or outcome, are likely to
fail. Projects that start with little
or no data, yet have a clear and
measurable business goal, are more
likely to succeed. The business
goal should dictate the collection
of relevant data and also guide
the development of machine
learning models. This approach
provides a mechanism for assessing
the effectiveness of machine
learning models. The second trap
in a machine-learning project is
to view it as a one-time event.
Machine learning, by definition,
is a continuous process and
projects must be operated with that
consideration
Machine learning projects are
often run as follows:
1. They start with data and
a new business goal
2. Data is prepared, because it
wasn't collected with the new
business goal in mind
3. Once prepared, machine
learning algorithms are run on
the data to produce a model
4. The model is evaluated on new,
unforeseen data to see whether
it captured something sensible.
If it does, it's deployed in a
production environment where
it's used to make predictions
on new data.
This typical approach is
valuable, but it's limited by the
fact the models learn only once.
While you may have developed
a great model, changing
business conditions may make it
irrelevant. For instance, assume
machine learning is used to
detect an anomaly in credit card
transactions. The model is created
using years of past transactions,
and anomalies are fraudulent
transactions. With a good data

science team and the right algorithms, it's possible
to obtain a fairly accurate model. This model can
then be deployed in a payment system where it flags
anomalies when it detects them. Transactions with
anomalies are then rejected. This is effective in the
short term, but clever criminals will soon recognize
that their scam is detected. They will adapt, and find

new ways to use stolen credit card
information. The model won't
detect these new ways because
they weren't present in the data
that was used to produce it. As
a result, the model effectiveness
will drop.

Rethinking the
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Tuesday, July 11 | 10 PT / Noon CT / 1 ET
A Different Perspective on
Recruiting Millennials
IT leaders struggling to staff key mainframe
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are often too caught up in over-emphasizing
and even apologizing for the platform - mainframe, legacy systems, "here to stay," etc.
Millennial computer engineers are less concerned about the technical platform they work
on, and more interested in having challenging
problems to solve, a supportive work environment and a promising career path.

FEATURING:

Ken Harper
Director,
Product and Technology
Ensono

Christy Schroeder
Worldwide z Systems
Client Skills Leader at IBM

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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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