Written by Mina Mousa
AI training is exposing network bottlenecks that can idle GPUs, raise costs and force operators to redesign data centres around lossless fabrics.
Enterprise AI projects are stalling because legacy networks and siloed data cannot support the scale, speed and security modern workloads demand.
Australian and New Zealand enterprises race towards autonomy, but experts warn observability and security must be architected in now.
The ARC framework guides AI success by focusing on acceleration, replacement and creation to build new business value beyond mere automation and hype.
AI workloads are driving enterprises to reshape on-premises Ethernet networks, ensuring high performance and lower costs amid rising cloud fees and data demands.
The takedown of Qakbot offers a brief respite for cybersecurity teams but highlights the persistent, evolving threat landscape and the complexity of combating cybercrime.
