In anticipation of his upcoming conference presentation, Applied Predictive Analytics to Workload Automation, at Predictive Analytics World Chicago, June 8-11, 2015, we asked Arcangelo Di Balsamo, IBM Workload Automation Chief Architect at IBM, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? A: As the Workload Automation architect, I’m applying predictive analytics mainly to IT Automation-focused use cases. Those use cases are about: 1) Predict job duration using history 2) Resolve issues quickly by learning from the past 3) Improved insight by detecting relationships across resources 4)
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