It is scalable for any type of business and it is also self-learning.
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 …
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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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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- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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- Tech 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 Systems | Unspecified |
|---|---|
| Mobile Application | No |
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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.
- Proper usage of REST API documentation is missing.
- Not localization friendly, cannot support regional or local language documents.
- 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.
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
- IBM Watson Machine Learning delivery is challenging
- IBM Watson's deployment business skill gap
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.