Linked – CIOs recalibrate IT agendas to make room for rising AI spend
I’ve been concerned that the rush to implement AI would come at the expense of information governance efforts that would lead to a failure of any AI rollout, because the AI is pulling from crappy data, isn’t secure, etc.
I probably haven’t been thinking enough about how the budget for AI might come at the cost of several other IT projects and what that might mean in terms of old, insecure, and inefficient technology not being replaced.
The rush to invest in AI has reconfigured IT’s priority list, exposing some organizations to future risks as legacy tech lingers, architecture updates get backburnered, and work with other emerging technologies peters out.
It’s worth reading and considering. Changing the budget priorities to get AI into users’ hands might be worth putting some other stuff on the back burner, but it might also not be worth the risk of putting off vital projects.
How are you aligning your budget to meet this new demand for AI? What’s getting left behind?
Follow these topics: Artificial Intelligence, Tech