Like Fernandes, Rob Owen, CIO at accounting and IT advisory firm Sax, has seen some organizations scramble to adopt AI, with some early adopters paying a premium to rent GPUs and other infrastructure.
“We saw a lot of projects stop and start where they would say, ‘These costs are getting out of control,’ because they’ve underestimated the time and the resources, from a technical perspective, that it would take to get it done,” he says. “We saw a lot of projects get abandoned.”
Start small — and cost-effective
Since the early days of commercially available gen AI, many AI services have become available, giving companies reasonably priced options, Owen says. Sax has deployed AI on several internal projects, including its help desk functions, with the company training and customizing AI models itself.
