Rich Listers are using AI to overhaul graphic design, advance healthcare and improve cybersecurity, but few are investing personally.
Already a subscriber?Grant Petty knew that his development team was using artificial intelligence to re-create real voices – he just didn’t know they were trialling the software on his own voice.
And no need for James Earl Jones or the owners of other lucrative, ear-pleasing voices to be worried. Of the Rich Listers, James Packer has the largest exposure to Nvidia via his Consolidated Press International Holdings, which owns 443,643 shares according to Bloomberg as of May 2024, valuing his stake at almost $461 million.
“The platform allows for AI where there is visual output to be overlaid on the images. Most systems can’t marry the two, it’s quite sophisticated fusion technology because it can’t even be a pixel out.“Our platform is AI ready. Then there is the question of where the algorithms come from... and we have the ability to develop some… but we also have some deep established research connections with key clients.
“We had a huge spike in ebullience, enthusiasm. One futurist six years ago predicted that radiologists wouldn’t have a job in five years… and that’s cited now as a key reason why there is now a global shortage in radiologists,” he says. “I tend to what I understand most... but that doesn’t mean I wouldn’t look at other particular areas. But it’s a bit like investing in biotech and trying to find the winners – there will be lots of good ideas that don’t make it through the journey.”While Pro Medicus uses Nvidia’s chips, Melanie Perkins, Cliff Obrecht and Cameron Adams’ Canva has leveraged OpenAI’s advanced generative AI technologies.
The company successfully expanded beyond its telco offerings, and recently has been investing heavily into data centres – the infrastructure needed to support the AI boom.Advertisement”It’s a function of timing. We finished plans a year to a year-and-a-half ago, but at the same time AI took off, so we redid our plans for the new centre to be ready for AI,” Tudehope says.To run AI algorithms requires far greater power than cloud computing, and generates significantly more heat.
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