garbage-in-garbage-out-how-to-prepare-your-data-for-ai-driven-project-management-tools Blog Related Topics 
Epicflow Blog
JULY 12, 2022
“Without data, you’re just another person with an opinion” , W. Data and technologies have become the drivers of innovations and competitiveness in today’s constantly changing business environment. A Data-Driven Organization: Main Characteristics . Embedding data in every decision, interaction, and process. .
Epicflow Blog
JANUARY 14, 2021
It’s applicable to any sphere of human life, and the field of project management is no exception. But is there any chance to save your projects from failure, bearing Murphy’s law in mind? First off, let’s figure out what can go wrong when the project has been initiated. . What Can Go Wrong in a Project.
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Epicflow Blog
MARCH 16, 2023
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.
Epicflow Blog
FEBRUARY 5, 2020
The work in digital project management is impossible without data analysis. The thing is that the amount of data can be enormous which makes it impossible for a human brain to process it. In order to make your PM software perform its duties diligently, you have to carry out yours properly.
Epicflow Blog
JUNE 28, 2023
More and more business organizations are becoming data-driven – they are leveraging technology and data to gain actionable insights, improve operations and decision-making, and as a result achieve better outcomes. How exactly is data used in project management? What is data-driven project management?
Epicflow Blog
OCTOBER 13, 2022
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. . What are these errors and how to get the most out of an RM solution?
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