EDITOR ’ S QUESTION
It ’ s incredibly exciting to see Gen AI develop so quickly and make incredible leaps forward . But it ’ s also a responsibility to build safely with a fastmoving technology .
KATHRYN GRAYSON NANZ , SENIOR DEVELOPER ADVOCATE , PROGRESS
In an age where data readiness is crucial for organizations ; the rapid adoption of AI and ML highlights the need of cloud computing services . Canada stands as a pioneer in this technological wave , with its industries using AI to drive economic growth .
Montreal is quickly establishing itself as an AI hub with organizations like Scale AI and Mila – Quebec Artificial Intelligence Institute .
Companies working with AI models need to manage extensive data sets , requiring robust and flexible solutions to manage complex tasks , training large datasets and neural network navigation . While the fundamental architecture of AI may remain constant , scaling the components up and down is essential depending on the model ’ s state .
It ’ s easier than ever before to take advantage of AI to enhance our websites and applications , but part of doing so responsibly is being aware of the inherent risk – and doing whatever we can to mitigate it . Keep an eye on legal updates and be ready to potentially make changes in order to comply with new regulations .
As the data-driven landscape keeps evolving , organizations must select data and hosting providers who can keep up with the times and adjust as needed , especially as Canada implements its spending plan to bolster AI on a national level .
Build trust with your users by sharing information freely and removing the black box feeling as much as possible . Make sure you ’ re listening to what users want and implementing AI features that enhance – rather than diminish – their experience . And establish checkpoints and reviews to ensure the human touch hasn ’ t been removed from the equation entirely .
ROGER BRULOTTE , CEO , LEASEWEB CANADA
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