IBM Watson Machine Learning
IBM Watson Machine 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 …
We have done a pilot on IBM Watson Machine Learning to solve our Power Management Problem, Pipeline Optimization, and a few other use …
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Entry-level set up fee?
- No setup fee
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
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IBM Watson Machine Learning allows businesses to deploy self-learning models at scale, allowing AI to deployed in applications and available free to try, free for limited use (5 deployed models and 5,000 predictions per month), or at cost for high workloads priced per thousands of predictions.
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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.
- 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.
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.
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
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.
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.