Learning & Innovation Research Manager| Project Management Institute (PMI)Spain
Data quality and quantity is particularly important as we think about leveraging AI on projects. Considerations include the diversity and comprehensiveness of the data that is available to us.
Have you ever encountered unexpected challenges or pitfalls while using data in your projects? How did you navigate the situation and find a resolution? Saving Changes...
Data challenges are a normal part of any project involving AI or data analysis. The key is to approach them with a structured, flexible mindset, using a combination of technical expertise, collaboration, and iteration. Staying agile, keeping an open line of communication, and continuously learning from each obstacle ensure that these challenges can be overcome successfully. Saving Changes...
PMI Team Member
