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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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In-Depth: The Evidence-Based Business Case For Agile

Scrum.org

So we went to Google Scholar and searched for review articles. 2010) reviewed 28 scientific studies that investigated how Scrum is associated with overall business outcomes. A strength of such a review is that it allows for the identification of patterns across many studies. 2010, April). Cardozo et. References.

Agile 197
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Top Six SaaS Tool Marketing Tactics To Follow In 2022

Proofhub

Software as a service has been the fastest-growing segment since 2010, and businesses are now investing 50% more in these cloud-based technologies than they did a couple of years ago. On the other hand, for existing customers, you should have a marketing strategy in place to retain them. How can you do that?

2022 148
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How to Navigate the Project Environment Even if You’re New to Project Management

Project Pulse Journal

Imagine possessing the ability to seamlessly integrate the intricate web of internal stakeholders and external factors into your project strategy. Envision your projects thriving amidst the chaos, fortified by adaptive strategies and an unparalleled understanding of every variable at play.

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Agile Unplugged EP04 | Mike Cottmeyer and Matt Van Vleet

Leading Agile

He is helping us build our technology transformation studio. So we first worked together, I guess it was probably back in like late 2009, 2010. But if you’re not doing it with like executive support and with an integrated strategy from beginning to end, it’s really difficult to sustain momentum. – Great.

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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. This blog page is dedicated to the resources used to assess risks, their impacts, and handling strategies for software-intensive systems using traditional and agile development methods.

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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.