Edge Computing Unlocks the Business Value of IoT Data

The low-altitude economy depends on continuous, real-time ingestion and processing of high-volume telemetry, sensor, and imagery data to support safe, scalable operations.

Adaptive edge intelligence transforms edge nodes into mini real-time decision hubs, reducing reliance on centralized cloud decision pipelines and enabling responsive, autonomous behavior.

The shift toward real-time decision-making at the edge is an evolution in how businesses operate. Closing the latency gap means smarter, safer, and more resilient operations.

Enterprises and the providers delivering services to support AI efforts essentially need AI connectivity as a service. That’s where network-as-a-service (NaaS) comes in.

Zero Trust assumes a strong, unified source of identity and policy. Most enterprises have the opposite. Create a cross-functional “Zero Trust Council” with shared KPIs tied to business outcomes to fix the situation.

Organizations that align their data strategies with 2026 cloud evolution trends will be well-positioned for success in the modern AI-dominated business world.

Enterprise leaders call on providers to address the automation gap between enterprise IT systems and service provider networks.

Building a Shared Responsibility Model into a company’s long-term strategy is a critical part of running successful operations.