Remove why-no-miracle-happens-typical-mistakes-in-work-with-a-resource-management-solution-and-how-to-avoid-them
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AI in Project Management: Is the Future Already Here?

Epicflow

According to Gartner , by 2030, 80% of project managers’ tasks will be run by AI, powered by big data, machine learning (ML), and natural language processing. This statement was perceived as a threat to project managers, whose job was supposed to be undertaken by AI-driven project management software. But is this really so?

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Why No Miracle Happens: Typical Mistakes in Work with a Resource Management Solution and How to Avoid Them

Epicflow

It sometimes happens that an organization invests in implementing a resource management solution, but the results of this endeavor are far from satisfactory. One of the reasons for that is making mistakes when working with this kind of tools. . The most typical mistakes of the data input are as follows: .

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5 Essential Questions About Data-Driven Project Management

Epicflow

Project management is no exception – data is becoming increasingly important for analyzing project and resource performance, making effective decisions, and driving projects toward their successful completion. How exactly is data used in project management? What is data-driven project management?

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