AI is changing the calculation. Not because it can take over modernization, but because it can lower the cost of getting started.
Machine-speed development workflows are now colliding with human-speed security processes.
Virginia’s first-in-nation data center power tax reflects growing fears that AI infrastructure could raise electricity costs for households and communities.
Fans may experience what feels like a single journey, but the organizations supporting that journey operate across a massive network.
Any user, regardless of their plan size, can hit a moment where they need to feel heard rather than handled by automated AI bots.
AI becomes valuable when someone elaborates upon a specific process, runs the numbers and decides whether to build or move on.
Not every problem is safe to troubleshoot without involving IT; some simple DIY “fixes” could introduce security risks or complicate the diagnosis of underlying issues.
Reliability comes from having a clear specification and a system that verifies whether the output meets it.
The principle behind zero trust is familiar: Trust nothing, verify everything. But AI agents make verification harder.
In practice, interoperability can be a surprisingly tough sell for manufacturers. This is likely due to a few reasons.