Thanks for sharing the valuable information!
Indeed, companies are now piloting and implementing machine learning applications (part of AI) in project controls. At my company, we piloted an application a few years ago that utilizes machine learning algorithms to predict schedule risks. The predictions closely resembled the output of Monte Carlo simulations, including p-values and risk ratings. Although it was intuitive, it lacked the specific intent of project controls or construction operations, leaning more towards data science terminology. Consequently, we partnered with the company to enhance the product.
Recently, we started piloting Oracle CIC (Construction Intelligence Cloud), an add-on to Oracle EPPM offered at a discounted price. You can check out the tool's capabilities using the link below. While I haven't seen the final product yet, I assume it will closely resemble the output of Monte Carlo simulations.
Link to Oracle Construction Intelligence Cloud
Regarding your point, it's crucial for AACE, now more than ever, to take the lead in project controls and collaborate with established and startup AI companies that provide project control-based services in order to educate and foster growth
Thanks for the reply Jawahar. The descriptions on the Oracle website look impressive. Other than P6, I'm not really familiar with the other Oracle products but will follow up on their material and Suffolk's progress. Suffolk had two people on the attendee list - Blake Abbenante and Joshua Weyand. I think Josh spoke at a sesson. It appears Suffolk is ahead of the curve on data metrics (and AI).
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