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It's essential that PMs assess the impact a project’s process and eventual outcome will have on organizational culture and the types of resistance likely to be encountered. This is no easy task, as most organizational cultures are not overtly defined.
In a world that is becoming ever more culturally aware, how do project managers balance respect for cultural sensitivity with the need to get the job done?
Doing better relates to best practices; however, over the last decade, doing differently has become a norm. The rate of change is as fast as we continually exchange ideas, and thus we have to embrace a new paradigm and utilize next practices.
The road to using artificial intelligence and big data in project management is not straightforward, and there is no need to make the full trip today. Projects are rich in data by nature and use technical, business, schedule, cost and additional types of data on a daily basis. However much of the data that's already in existence is either not being used, partially used or is hard to get to. The trick is not to use all the data available.
While speculation about the end point of relentless progression hints at an ominous future, the present-day promise of artificial intelligence needs examining so we can better understand what it can—and cannot—do.
The key to employee retention is employee engagement. Employee engagement is mission critical when high turnover rates threaten productivity and innovation.
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"Man is a game-playing animal, and a computer is another way to play games." - Scott Adams |
