IBM Watson Machine Learning for z/OSIBM Watson Machine Learning for z/OSWhat’s New

Harnessing AI for business and operational efficiency is vital todigital transformation – with time-to-insight being a key
business differentiator. There is no debate that artificial
intelligence (AI) will continue to be a key driver of innovation,
but many businesses are still struggling to integrate AI into
production applications to better serve the business and IT. Infact, a study by VentureBeat AI1, determined that only an
estimated 13% of data science projects have been deployed
into production applications.

IBM WMLz 2.3 can significantly improve
online scoring service performance forvarious types of machine learning models,
especially for deep learning models in an
Open Neural Network Exchange (ONNX)
format. WMLz 2.3 also includes better
integration with IBM Cloud Pak for Data andenhanced simplification for installation andconfiguration. A new Installation Plannerhelps provide guidance for use case-based
installation preparation.

Watson Machine Learning for z/OS (WMLz) is the only AI
platform running on z/OS. It provides low latency, highperformance inferencing to support scoring of every transaction,with minimal impact to SLAs (Service Level Agreements). You
can effectively scale AI and take advantage of every inferencing
opportunity to increase revenue, decrease cost and mitigate
fraud in real-time. This allows you to infuse AI withintransactional applications -- when milli-seconds matter.

IBM now offers the IBM WMLz Online
Scoring Community Edition Trial. This
lightweight version of the WMLz scoring
service, provides a no-charge option
enabling organizations to easily downloadand try the WMLz in-transaction scoring
approach for deep learning models.

As you implement AI within your business applications, youneed to consider where to build machine learning models andwhere to deploy them. WMLz gives you the flexibility to train
your models in any framework, on any platform (including IBM
Cloud Pak for Data) and then readily deploy and operationalize
those models on IBM Z to gain the unique advantage ofinferencing in-transaction, in-real time. This approach candeliver significant value in critical, time sensitive business areas
such as fraud detection, customer churn, loan approval andoperational performance.

The latest advances in AI on IBM Z also
take further advantage of the platform
through z/OS Container Extensions (zCX)
and deliver Neural Network support
through ONNX for deep learning models,
for simpler, more efficient and costeffective scoring. Scoring processes areoften zIIP eligible, allowing for greater costeffectiveness and efficient execution withminimal impact to operational processes.

A no-compromise approach to AI

If you are interested in learning more about
IBM Watson Machine Learning for z/OS,
please contact your IBM representative orvisit IBM WMLz Demos.
1Source: VentureBeat AI News

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