IBM is giving the public the first look at a new type of cloud-based analytics tool that can be used to predict what data a user might want to view in a cloud-powered app.
Ucf.info, which is still in the development stage, is a system that uses data from IBM Watson Watson to produce predictions of user behavior and data from third-party services.
It can also be used for predictive analytics.
The new tool, which will be announced on Wednesday, is being developed at IBM Research.
The technology is also being built at IBM Watson’s Data Center Research Center in Redwood City, California.
“Ucf can be applied to many types of data, including consumer behavior,” said IBM Watson Research Director Daniel J. Johnson in a release.
“The tool can predict which apps are most likely to be useful, or how likely a particular app will perform well when combined with other data.”
The Ucf software works by combining data from different sources, such as surveys, medical records and financial transactions, and then aggregating those data.
The data is then fed into a predictive model that will then be fed into an app that will present the predicted behavior.
It’s unclear at this point what types of applications could benefit from the tool, but it will be interesting to see how it’s used.
Ucb is a relatively new concept in the analytics world, but IBM is betting that its products will be adopted in a variety of applications in the coming years.
The company also plans to provide Ucf developers with the tools to test them and give them feedback on the capabilities of the product.IBM has been developing predictive analytics for more than a decade and is a leading player in the space, with a team of more than 600 people.
It also has a research lab in the U.K. that is working on predictive analytics software, called IBM Watson for Business, which it announced last year.