From the course: Artificial Intelligence for Project Managers

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Curate data with AI

Curate data with AI

- Projects produce data, terabytes and even petabytes of it. And this data leaves behind clues, clues that can be stitched together to uncover repeatable patterns. However, there's a challenge. Your data is probably disconnected, meaning it's siloed. Nod your head if you don't have an interactive dashboard to view real-time data, lack a single repository from which you can manage your project data, your lessons learned from previous projects aren't in a central location, can't easily pull up status updates and track project progress holistically, use a number of non-integrated redundant tools to manage your projects. Well, I'm here to let you know that your data doesn't have to go to waste. You can curate it no matter where it is. But first, you need to find out where your data lives. A good place to start are your lessons learned documents, along with artifacts from previous projects. Examples include business cases, project proposals, charters, plans, change logs, issue logs, risk…

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