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How can AI be used for Risk Assessments in projects?

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Priscilla Oluchi Akabudike Quantity Surveyor / Contract Administrator| Aveon Offshore Limited Nigeria
One way AI can be used for risk assessment is through data analysis. AI algorithms can analyze large volumes of project data, including past project performance, resource allocation, and budget utilization. By examining this data, AI can identify patterns and correlations that may indicate potential risks. For example, if a particular type of resource allocation has consistently led to delays in past projects, AI can flag it as a potential risk factor for future projects.
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Rami Kaibni
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Senior Projects Manager | Field & Marten Associates New Westminster, British Columbia, Canada
Priscilla

You did answer your own question perfectly - This is a great way for to use AI for risk assessment. To add to your answer, from a construction perspective, you can also use it to assess the geographical and geotechnical nature of the project site based on historical data and AI can flag any risks that the project might encounter and this can be taken into consideration during design, planning and execution.

RK
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Ricardo Sastre Martin Principal Consulting Project Management| Microsoft Madrid, Spain
Are you currently using AI for risk management? What tool are you using? How much data is needed to get good accuracy.
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Sergio Luis Conte Helping to create solutions for everyone| Worldwide based Organizations Buenos Aires, Argentina
My recommendation is taking a look to PMI“s course regarding Generative AI. But, beyond that, we are using AI for risk management from long time ago. For example, tools that use Montecarlo simulation are using AI from long time ago.
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Paul Boudreau President| Stonemeadow Consulting Kanata, Ontario, Canada
Another way is to input the risk characteristics of each risk into a machine learning algorithm that uses classification. The purpose is to create groups of risks and from each group determine if there is a common cause or an effective risk response strategy. You don't need historical data. With this type of program you can analyze risks very quickly - something a project manager rarely has time to do. The benefit is gaining insight that might be missed. It's not difficult. I have an algorithm on my laptop that does this. The results are dependent on the data and the project manager's ability to take action.

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