Who Made Gartner’s 2018 Magic Quadrant for Industrial IoT?

Explore the top smart manufacturing trends for 2026, including AI, IoT, and automation. Learn how manufacturers are using these technologies to reduce costs, improve efficiency, and build resilient, data-driven operations.

Compute is no longer a background resource that scales automatically with demand. It is a constraint that shapes how systems are designed, how quickly they can be deployed, and how much control organizations retain over their own operations.

The expansion of smart cities and industrial deployments means infrastructure must be built to withstand harsh, evolving environments while maintaining reliable connectivity and power.

Time synchronization rarely gets much attention in cybersecurity, but it should. It underpins the security functions that teams rely on every day, from trustworthy logs and threat detection to forensic review and compliance reporting. In Zero Trust environments, trusted time helps keep those systems aligned and plays a growing role in resilience and compliance. A […]

Running AI experiments as ventures, such as distinct, startup-like entities with their own mandates, teams, and freedom to imagine, is one of the few mechanisms that gives a scaled company a real shot at genuinely new thinking.

Organizations that treat AI as a standalone initiative see incremental results. Those that treat it as a data architecture transformation, however, unlock sustained performance improvements.

Drone programs have already proven their value as a data collection tool across construction, agriculture, energy, and infrastructure. The next frontier is making that data work harder.

For AI to work in production, models are not enough. Systems need access to current, external information that can be used directly in decision-making.