When you hear "generative AI," the first thoughts often revolve around efficiency, decision-making, and job displacement. However, the reality is much more nuanced and promising.
CIO
Of the many timely findings in our 2024 research study, The Adaptive Organization: A Benchmark of Changing Approaches to Project Management, one stands out to me as key for the moment we find ourselves
Imagine predicting project success with unmatched precision.
How can organizations hope to stay ahead when disruption lurks around every corner, ready to render them obsolete at a moment's notice?
In a recent blog on the PM College site, I rounded up a series of articles I’d read recently in the business press, all of which focused on a similar theme: that AI will help us to grow in essentially human skills...
While the power of data is undeniable, the buzzwords "big data knows everything" and "data is the new oil" often overshadow the practical challenges faced by businesses when it comes to data-driven decision-making.
Is Seamless Integration Possible?
When you say generative AI, everywhere people are speculating: How can we use AI tools to be more efficient? Can we trust AI to make important decisions? Will AI replace human jobs?
Are you wondering if customer-centric innovation is critical to your business? Imagine that you are all set to binge-watch your favorite shows. But your streaming service app keeps crashing, leaving you stuck with a spinning loading icon. Isn’t it frustrating?
But what if:
Is your business still playing catch-up while others sprint ahead? Say hello to enterprise cloud strategy – the not-so-secret weapon that's helping companies leapfrog their competition and reshape entire industries. But today’s enterprise cloud strategy is much more complex than just 10 years ago.