The development of a machine learning algorithm depends on large volumes of data, from which the learning process draws many entities, relationships, and clusters. To broaden and enrich the ...

Machine learning models are routinely integrated into process mining pipelines to carry out tasks like data transformation, noise reduction, anomaly detection, classification, and prediction. Often, ...

The fundamentals of robotic process automation combined with machine learning capabilities to robotize the mundane tasks, plus learning to do a job even better, is what intelligent process ...

The world is growing and developing rapidly, and the demand for software has been increasing speedily, any software has many steps for building a program and all the steps are important for software ...

Machine learning is going to change the way we design and optimize business processes and functional roles. Automation will shift the role of humans more to exception based interactions and real ...

Recommendation ITU-T F.748.47 focuses on the automated machine learning (AutoML) functional capabilities for artificial intelligence (AI) development within the Al cloud platform. This Recommendation ...