Four Ways Artificial Intelligence will Transform the Future of Project Management - Conclusion

Project Intelligence AI/ML applications delivered on ERP Cloud Platforms can create significant opportunities for Project Management improvements across Asset-intensive industries, equipping project managers with greater insights into Project variables in other Project-integrated ERP areas like Purchasing, SCM and Finance.  

Project Management Use cases include Projects Machine Learning to improve Project Planning accuracy, align project schedules with project purchasing functions and timelines; Risk Management for monitoring Project Exception conditions, as well as Predictive Analytics for Project Change Orders.  Cloud Customers are starting to identify the benefits of ERP-based AI & ML that spans across ERP modules, which leverages a unified ERP data model. 

As ERP Projects integration capabilities expand (i.e., across Financials & EPM, Procurement, SCM, Asset Management, etc.), additional AI/ML opportunities will be available to improve Project Manager visibility and project financial insights. 

Cloud-based AI/ML Apps can enable faster time-to-business insights, acceleration of key processes, decreased time to market, and improved customer experiences—all while reducing costs and improving productivity—without requiring data scientists.


Additional Project Management AI References -

 

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