#312 – GREG CARROLL: FUTURE OF WORK – ERM – INTERVIEWED BY JAMES KLINE PH.D.

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Greg Carroll has a graduate degree in Operations Research from Swinburne University. He has a certificate in Machine Learning from Stanford University and in Data Science from the University of Michigan. He has over thirty years’ experience in Enterprise Risk Management. He has applied risk management techniques to IT and Artificial Intelligence systems in mission critical environments like the Department of Defense and Victorian Infectious Disease Reference Laboratories. Continue reading

#200 – USING IOT INTELLIGENT THINGS TO MONITOR RISK IN REAL-TIME – GREG CARROLL

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team-carroll-150x150Although in ISO 31000 monitoring risk is another of its key tenets, I again see little monitoring in most risk management systems. Periodic review, dashboards, heat maps, and KRI reports are all Review (a different ISO 31000 tenet) not monitoring. IoT technology can deliver real-time monitoring of risk for more than just physical environmental metrics. Continue reading

#199 – USING PREDICTIVE ANALYTICS FOR THREAT MANAGEMENT/PREVENTIVE ACTION – GREG CARROLL

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team-carroll-150x150The failed Risk Management practice of the ubiquitous risk matrix will finally be laid to rest in the 2020s. Vague subjective estimation of likelihoods and consequences will be replaced with Predictive Analytics objective predictions, based historical patterns and current trends, leading to informed risk based decision making. Continue reading

#198 – FIVE PRIMARY REASONS FOR THE FAILURE OF PREDICTIVE ANALYTICS IN ERM – GREG CARROLL

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GregCarrollRegardless of the hype surrounding Predictive Analytics, and even the fact there are some excellent and relatively inexpensive tools available, not only has its implementation been weak, but a 2017 Gartner survey found in many areas investment is going backwards. Continue reading

#197 – USING BIG DATA TO IDENTIFY TRENDS AND EVOLVING RISKS – GREG CARROLL

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team-carroll-150x150Probably one of the most recognized but least understood disruptive technologies for Risk Management in the 2020’s is Big Data.

This is the 2nd in the risk analytics series covering the Top 10 Disruptive Technologies that will change Risk Management as we know it being:

10. Scenario Analysis – to provide operational management with decision marking collateral
9. Big Data – to identify trends and evolving risk Continue reading