Articles

Artificial Intelligence and Data Science: levers to transform the way we do things
Artificial Intelligence and Data Science: levers to transform the way we do things

No one can deny the media hype surrounding artificial intelligence (AI) and data science. With a very active academic leadership and an ecosystem dedicated to the subject, Montreal is already recognized as a dominant pole in North America. But, between the alarmist visions of imminent human obsolescence and the denunciations of fake news, what is the effective contribution of these specialties for companies?

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HR Evolution or HR transformation?
HR Evolution or HR transformation?

While many Human Resources (HR) functions doubt that a simple evolution of their ways of doing things is sufficient in the current context, others are struggling to complete their journey towards a more strategic role. Here's a look at the trends that are leading to these challenges.

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Organizational projects: not your traditional management!
Organizational projects: not your traditional management!

In the fast paced world of changes in business lines, more and more people are finding that organizational projects are significantly different from projects with a strong technological focus. Clearly managers who successfully deliver such types of projects have some distinguishing features. But what are they? Some answers based on our recent experience.

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Why do “successful” technology projects fail to produce expected business results?
Why do “successful” technology projects fail to produce expected business results?

The mere fact that a technology is installed, operational and made available is no guarantee that the expected benefits will be realized. This is simplistic thinking that many have decried for years. Despite the support of management and the initial enthusiasm of staff, many projects that are successful from a technological point of view (quality, time, budget) turn out to be disappointing because they do not produce the results and changes that were really expected. Considering the huge sums invested in new technologies, can we really continue to ignore the phenomenon?

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