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Challenges With Implementing Artificial Intelligence in Project Management

International Institute for Learning

INTRODUCTION During the past several years, we have seen dramatic improvements in artificial intelligence (AI). Experts in AI estimate that the implementation cost in some organizations could conceivably be in the millions of dollars. Companies will be challenged on whether AI applications on projects can be piecemeal.

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Managing Risks and Controlling Projects: How Data-Driven Project Management Come in Useful for Multi-Project Environments

Epicflow Blog

Risk-Based Project Planning with Reference Class Forecasting Reference class forecasting is another efficient technique that has an advantage compared to others, for example, machine learning or Monte Carlo simulations: it doesn’t require that much data, namely, only the data from past projects is needed. Springer.

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Best agency project management software: 10 tools to short-list today – Part 5

Resource Guru

You can find previous parts in this series here: Part 1: The basics of agency project management Part 2: 5 agency project management methodologies Part 3: Your 9-step agency project management process Part 4: Agency team structure: Building a team for effective growth Part 5: You’re reading it.