Artificial intelligence holds promise as a way to improve IT project management, but there are some hurdles to overcome.
In the tech world, it's common for the DevOps team to be responsible for the project management aspect of software development. DevOps workers have a strong reliance on analytics, so it's not surprising that there is a push toward using artificial intelligence — which does analyses of its own — in project management. This trend has both pros and cons — here are two of each.
Pro: AI could be ideal for handling large amounts of data
One task in which AI excels when compared to humans is processing vast amounts of data. There are countless examples of how teams applied AI to their work and achieved the desired results in days when it would otherwise take months...
In the tech world, it's common for the DevOps team to be responsible for the project management aspect of software development. DevOps workers have a strong reliance on analytics, so it's not surprising that there is a push toward using artificial intelligence — which does analyses of its own — in project management. This trend has both pros and cons — here are two of each.
Pro: AI could be ideal for handling large amounts of data
One task in which AI excels when compared to humans is processing vast amounts of data. There are countless examples of how teams applied AI to their work and achieved the desired results in days when it would otherwise take months...
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