| Growth is always considered a good thing in terms of business, but with it comes greater complexities, especially when international borders are crossed.
Navigating cross-border regulations, privacy laws, compliance strategies, and approaches to governance are skills that need continuous upkeep, especially with so many nuanced interpretations of AI globally, and how it’s being integrated within the enterprise — and across sectors. And at the root of everything, to no one’s surprise, is data and how to keep it secure.
In today’s top story, Linda Rosencrance covers some key steps to data privacy compliance when operations cross borders. First and foremost, demonstrate how your own approach to privacy is front of mind. “Before tackling data privacy regulations, the first step is understanding your data: what you collect, why you collect it, and where it resides,” says Sylvestre Dupont, CEO of AI data extraction software provider Parseur.
Lay the groundwork internally first, and good thing should follow.
 | Carl Friedmann, Executive Regional Editor, CIO |
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