In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

Researchers at the Tokyo University of Science (TUS) have developed a new way to perform the coercivity analysis of magnetic materials by using a combination of data science, machine learning (ML) and ...

There has been a lot of coverage of machine learning (ML) for biological research, for radiology, and for other uses where the direct users are academics, researchers, and medical professionals.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Salesforce’s application performance management team faced a challenge in ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Duke Energy’s hybrid model of engineered analytics and ML has proven to be an excellent but imperfect tool — more accurate than either pure AI/ML tools or engineered analytics alone. A combination of ...