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Implications of Artificial Intelligence on Project Management

The IIL Blog

By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management. AI technology will automate repetitive processes, generate insightful program reports, and highlight potential problems before they arise.

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Top 11 Cities for Project Management

Rebel’s Guide to PM

Construction of a Huawei research and development center Aircraft R&D facilities The continued development and expansion of Tesla’s Shanghai Gigafactory LEGOLAND® Park & Resort in Jinshan District at the cost of US$550m, due to open in 2024. There’s going to be a mix of retail, office and residential units along with a hotel.

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Project Management Statistics: 45 Stats You Can't Ignore

Workamajig

68% - more than 2/3rd - of organizations in PMI's annual survey said that they used outsourced or contract project managers in 2018. ( 49% of project managers report to the PMO (up from 42% in 2012). In PMI's 2017 survey, 62% of successfully completed projects had sponsors who were actively supportive. PMSolutions ).

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Project scheduling 101: Your guide to project success

Resource Guru

Start dates and due dates for each activity. Nail down each piece needed for successful project execution, then review the task list for dependences — steps that can’t happen until a previous one is finished. Project forecasting technology can assess your data and generate a report with those answers for you.

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Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.

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Project Management Worker Engagement

The IIL Blog

The wage and salary activities for the assigned workers were the responsibility of their functional managers and project managers often had very little input if any in the performance review processes. Team members relied upon their functional managers for encouragement, support, and performance reviews. Schaufeli et al. Liao et al.

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A Compendium of Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance and schedule attributes is often uncertain or unknown until late in the program. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.