IMPACT 2019: The Fine Art Of Combining Capacity Management With Machine Learning – Charles W. Johnson Jr., Syncsort, Inc.
Capacity Management within the enterprise continues to evolve. In the past we were focused on the hardware; now we are focused on services. With that in mind, the amount of data available has increased significantly and has become difficult for the Capacity Manager to sort through.
To be successful with this discipline going forward, we need the machines to do more of the heavy lifting. This includes automatically creating reports, calling out anomalies, and producing forecasts. All this still requires the human computer to perform the sanity checks on the anomalies and forecasts. The intuition of the human computer is imperative to our success. The bonding of the human computer and physical machine has become critical in performing Capacity Management.
In this presentation, we will discuss Capacity Management with and without Machine Learning, provide examples of what Machine Learning can provide in the process, and demonstrate outcomes using the strengths of both to make Capacity Management a successful component within your organization.
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