If the obvious AI use cases in projects are only offering incremental improvements over the automation that has been happening for years, and the more transformative use cases are still a step too far for organizations, where’s the middle ground?
Welcome to AI Community Day! In celebration of our community, and in collaboration with artificial intelligence thought leaders and project professionals, we are highlighting how you can use AI to maximize project success!
While still in its infancy, ChatGPT has already caused some sleepless nights. What are the implications of this new technology for project managers, and what can they do to thrive in this burgeoning field of artificial intelligence?
Many organizations are cutting back on investments due to global economic uncertainty. What does that mean for artificial intelligence, and how organizations harness it?
Artificial intelligence shouldn’t be used because it’s cool, or because it’s currently a significant trend. It should be used because it allows an organization to add value for its customers and itself.
In project environments, where should project professionals be pushing for the use of AI? What limitations should be placed on it? And how should it be monitored and managed? Here's a reminder to look for the easy wins.
When you consume AI-based content, do you understand the process that determines its truthfulness and accuracy—and what steps you can take to reconcile this concern if you don’t? Read more about the dangers of unvetted knowledge.
There’s a lot more to artificial intelligence than chatbots, and many AI applications will contribute to project management. But that doesn’t mean it's coming to take your job. In fact, AI is going to make project managers' lives a lot better.
There are many reasons why AI implementations may not be successful. But there is clear evidence that one of the biggest issues is the data that is available to train AI tools. How can we fix the "flawed data" problem?
Is technology now reaching the point where it is advancing for the sake of it, not because anyone actually needs it? Are the organizations that are buying artificial intelligence tools actually going to use them the right way?