Knowing where artificial intelligence is embedded in your project systems will allow you to gain maximum value from the available options. From improving your writing to planning a training course and more, check out these 10 ways to improve your project delivery right now.
The way we work today is increasingly being shaped by artificial intelligence (AI) and machine learning. To keep up, we need to understand these technologies holistically—where they add value, and where they fall short.
In 2020, with so much happening, the Technology Update provides a targeted summary of the space and where it is all headed. This year, the technologies covered artificial intelligence, robotics, 3D printing and the Internet of Things (IOT) & Bodies (IOB).
After arguably the most disruptive year any of us have ever seen, organizations are already beginning to see a shift in the technologies they will need to harness to be prepared for the future. What tech is hot—and what's approaching its obsolescence?
Artificial intelligence can help you perform at a higher level, not just by handling administrative work, but by helping you meet the classic PM challenges that have always felt daunting. Here's how...
What technology will your organization expand on or adopt this year? These four technologies expect to have a big influence on our industry....but don't get starry-eyed over big words and bigger promises.
By leveraging artificial intelligence, agile teams can gain greater insights into potential risks, make more informed decisions, and improve outcomes. From identification and forecasting to monitoring and contingency planning, here are four ways that using AI can make a positive difference in agile risk management.
While experimenting with artificial intelligence for six months, this practitioner put ChatGPT to the test with a handful of tasks to (hopefully) lighten his workload as a project manager. The results were...mixed. Should you believe the hype?
Several best practices have emerged over the years to enhance the success rates of digital transformation projects. Here we look at seven—and explore what makes them different from AI implementation projects, which are often mistaken for them.
Organizations can improve project success rates through the strategic application of artificial intelligence tools, but they’ll improve their chances even more through agile-based change management practices and leadership.