The sudden disruption of a global network often exposes the fragile dependencies that modern internet users take for granted, as evidenced by the significant outages that occurred in late 2025. These events served as a stark reminder that even the most robust infrastructures are susceptible to
The sudden realization that a primary database has become inaccessible during a peak sales window often serves as a painful catalyst for small business owners to reevaluate their technological dependencies. While the historical norm favored a reactive approach, commonly known as the break-fix
Modern enterprise software architectures have evolved into intricate ecosystems where the line between internal development and external dependencies has become increasingly blurred, often leaving security teams oblivious to the actual code executing on their users' machines. This invisible layer,
The silent infiltration of unvetted intelligence tools into the corporate ecosystem has created an invisible data pipeline that threatens to undermine even the most robust cybersecurity defenses. This phenomenon, known as Shadow AI, involves the unauthorized use of artificial intelligence tools and
Matilda Bailey has spent her career at the intersection of high-speed connectivity and next-generation infrastructure, witnessing firsthand how the shift toward artificial intelligence is pushing traditional networking to its absolute breaking point. As organizations transition from small-scale
Matilda Bailey has spent years in the trenches of cellular, wireless, and next‑gen networking, guiding teams as AI workloads spill across clouds. In this conversation, she walks through pragmatic ways to collapse deployment from months to days, unify scheduling with Slurm‑on‑Kubernetes, and deliver
