AI/ML At the Edge: 4 things CIOs Should Know
The Enterprisers Project, February 14th, 2023
At the edge, latency matters - and effective AI/ML requires lots of data. Here's what that means for workloads
Among the patterns in our ongoing series of articles about edge computing: Edge matters where latency matters, and vice versa. And latency almost always matters when it comes to running artificial intelligence/machine learning (AI/ML) workloads.
As Brian Sathianathan, CTO of Iterate.ai, told us: 'Good AI requires data. Great AI requires a lot of data, and it demands it immediately.'