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IBM Machine Learning for z/OS

IBM Machine Learning for z/OS

Overview

What is IBM Machine Learning for z/OS?

IBM Machine Learning for z/OS® brings AI to transactional applications on IBM zSystems. It can embed machine learning and deep learning models to deliver real-time insight, or inference every transaction with minimal impact to operational SLAs.

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Pricing

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What is IBM Machine Learning for z/OS?

IBM Machine Learning for z/OS® brings AI to transactional applications on IBM zSystems. It can embed machine learning and deep learning models to deliver real-time insight, or inference every transaction with minimal impact to operational SLAs.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is IBM Machine Learning for z/OS?

IBM Machine Learning for z/OS® brings AI to transactional applications on IBM zSystems. It can embed machine learning and deep learning models to deliver real-time insight, or inference every transaction with minimal impact to operational SLAs.

IBM Machine Learning for z/OS Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Reviews and Ratings

(9)

Reviews

(1-2 of 2)
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It is scalable for any type of business and it is also self-learning.

Rating: 10 out of 10
June 14, 2022
BR
Vetted Review
Verified User
IBM Machine Learning for z/OS
3 years of experience
I was looking for an easy-to-use AI-based model for my business and the first thing that caught my eye was the free trial. I used it to keep track of my customers' purchases. The best part is that it's free to try so you can see for yourself how it can help you. And the best part about IBM Watson Machine Learning is that this is a platform that can help you build your own self-learning model and scale it as you grow. And because it is based on deep learning, you will be able to get the most out of this technology as it learns from your data and your outcomes. You can use Watson Machine Learning to apply AI to your products, services, and business strategies in ways that are scalable and affordable.
  • Self learning scalable Models.
  • Easy to use.
  • Affordable
  • More accurate and efficient.
  • Prevent security breaches.
  • Helps to make data driven decisions.
IBM Watson Machine Learning is an AI-based scalable self-learning model for any type of business. It can be used to help any company automate repetitive tasks, predict future trends, and make data-driven decisions. I used it to predict stock prices based on certain variables. It works well, cost me nothing, and gives me the ability to create my own AI-based models that I can use for any purpose.
  • Automate repetitive tasks.
  • Predict future trends.
  • Free to try.
  • Create secure business environment.
  • Save upto 90% of manual labor.
  • Improve my sales and marketing ROI.

IBM Watson - No success without understanding the business problem

Rating: 5 out of 10
January 22, 2020
VP
Vetted Review
Verified User
IBM Machine Learning for z/OS
1 year of experience
We have done a pilot on IBM Watson Machine Learning to solve our Power Management Problem, Pipeline Optimization, and a few other use cases. This pilot has been running for the last 1 year. We have started to test it in phases whereby we develop a business case, test the solution, and eventually check expansion opportunities.
  • Good machine learning tool
  • Easy integration
Wherever you have a well qualified, segregated, data set with a clear problem definition any machine learning tool can be deployed. However, the key is to help the client define the problem to create the baseline on the performance and show improvements. It may so happen that we may not need a machine learning tool. This is where the execution of IBM Watson Machine Learning is lacking.
We have been using Microsoft Azure as a machine learning tool. But the challenges remain the same. These are all tools that you need a robust analysis before a decision on the tool. Unfortunately, the technology company cannot make that determination due to lack of core business understanding. Without that the project is doomed.
IBM had a hard time providing business level support. There were a lot of data scientists and technology experts but rarely a simple business person shows up. Also the way IBM operates IBM Consulting has competing priorities as compared to IBM Technology. This has resulted in a lot of confusion at the client's end.
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