The latest generative AI growth has corporations throughout industries investing large quantities of money and time into AI. Matthew Prince, co-founder and CEO of Cloudflare, thinks most of them are simply “lighting money on fire.”
The CEO, who runs one of many world’s largest networks underlying the worldwide web, made the assertion onstage on the Fortune Brainstorm AI conference in San Francisco Monday in response to a query about companies experimenting with AI.
“I think most of the people in this room are affected,” he stated, directing his assertion on the viewers.
Prince additionally took pictures on the main cloud suppliers, particularly Amazon, in the course of the speak in regards to the infrastructure-side of AI. He pointed to the scarcity of GPUs as one in every of his high considerations about each the present infrastructure and lack of competitors in AI, however argued this drawback is “somewhat artificial.”
“If you look at big cloud providers, one of the decisions they made early on was to make it more expensive for you to move your data from one region to another or from one cloud provider to another. AWS, for example, marks up their transport costs 4,000 times what their underlying costs are. And what that is doing in the AI space is actually further artificially constraining access to GPUs,” he stated, later including that if the worth of taking knowledge out have been the identical as placing it in, “we’d have a lot more competition in the space.”
Jennifer Tejada, chairperson and CEO of cloud computing firm PagerDuty, took a extra optimistic stance and spoke about extra high-level considerations amongst corporations similar to holding AI methods easy, making a path between analysis and truly delivering merchandise, and coaching the workforce for AI transformation, together with getting ready the c-suite and board members.
Amongst her shoppers, she spoke about seeing the concern of threat holding some corporations from leaping into AI. For an easy method, she instructed ranging from the ground-up with workers and having them create what she calls a “toil bucket,” primarily a listing of all the things they hate doing that they hope AI might take off their plate.
“We found that employees that are closest to the business problems, that understand the most about the business problems, often come up with the most practical use cases,” she stated.
Learn extra from the Fortune Brainstorm AI convention:
Box CEO Aaron Levie’s top takeaway from OpenAI meltdown: ‘Don’t have weird corporate structures’
Khan Academy’s founder says AI ‘coaches’ will soon submit essays to teachers instead of students
