Prevent the Next Catastrophe: How to Develop Prescriptive Action from BIG Data for Plant Asset Management – Reduce Operational Risk, End Breakdowns, and Increase Net Process Output

Big data, predictive analytics, are heavily hyped promises, but accurate outcomes do not spring from simply stirring a “bucket-of-data”. The presentation confirms how machine learning, when industrialized and applied right, is a simple way to augment and even replace costly and ineffective old practices. The session shows how software agents do the heavy-lifting, do the monitoring, automatic analysis, and accurately predict and alert so that you do not have to. With little human help they learn, train, and adapt. And, triggered by the earliest alerting available, the prescriptive action completely changes outcomes to avoid issues and/or alleviate the consequences. The result is more stable operating plants and consistent high net output at lower cost.