Machine learning can enable new forms of predictive analytics and embed algorithm-driven intelligence into many software applications. However, none of that is possible without the right data, ...

The application of machine learning is so close to the existence of human beings. The future of business process improvement is on making them intelligent. Machine learning is the driving force.

Identifying Non-functional Requirements from Unconstrained Documents using Natural Language Processing and Machine Learning Approaches Requirements engineering is the first phase in software ...

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 ...

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, ...

In a study published in the Journal of Neurology, Neurosurgery & Psychiatry, David L. Perez, MD, MMSc, Founding Director of the Functional Neurological Disorder Unit at Massachusetts General ...

Recently posted - Search Recommendations F.748.47 : Functional requirements for artificial intelligence development within the artificial intelligence cloud platform - Automated machine learning ...

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 ...