His successor echoes his point, with a focus on what Jamf can do for its customers. “Our job is to make sure that Apple runs better with Jamf,” she said. “We’re scaling it, we’re securing it, and we’re making sure that you can… first see it, and govern it, and then harness what you can get from it in a way that’s helpful for our customers.”
Local intelligence, global scale
A second aspect to governance is around sovereign, private, and/or on-premises AI. I asked Tschida what her customers are saying. “There will be some that look at the benefit if you can run at least some of your workflows locally,” she said. “There’s a tokenomics piece of it. There’s a privacy piece of it. There’s a sovereignty piece of it.”
Whatever the motivation, for Jamf the question remains, “How can you determine what we can do and help you do, locally on device, and build that so you can run it at scale? That’s where we’re focused.”
This story originally appeared on Computerworld
