As the IoT continues to rapidly reshape industries, Globalstar is tapping into advanced technologies like AI and edge computing to provide innovative solutions.
Ahead of the IoT Tech Expo North America, Luis Mirabal, Head of Strategic Financial Analysis at Globalstar, discussed the company’s approach to IoT and how it uses cutting-edge technology to push the boundaries of connectivity and intelligence.
Globalstar is a leader in satellite communications, with a track record of developing various products over the years. The company is now focused on expanding its IoT offerings, where satellite communications and IoT work seamlessly together.
Globalstar’s IoT devices utilize the company’s global satellite network to deliver connectivity in remote areas where traditional cellular networks and local infrastructure are unavailable. These devices are used in diverse applications, including logistics, marine operations, wildlife tracking, and sustainability projects, allowing businesses to monitor and manage assets in some of the most hard-to-reach locations.
Many of these devices are solar-powered and designed to function in tough environments, providing essential data and insights that would otherwise be impossible to access.
A key differentiator for Globalstar is its upcoming network upgrade, which will include two-way communication and edge computing capabilities. This will allow devices to process data locally and make decisions without having to rely entirely on cloud servers.
With this new network, devices will not only transmit data but also run AI models and inference capabilities that enable them to execute commands and take action autonomously. This integration of edge computing and AI will revolutionize how businesses interact with their connected devices, enabling real-time responses and more efficient operations.
This shift in IoT technology could significantly impact industries such as logistics, transportation, and energy, where real-time decision-making and automation can improve efficiency, lower costs, and boost safety.
To tackle the challenges of data management and analytics in IoT, Globalstar has developed an API layer that makes it easy for partners and value-added resellers to integrate their solutions with end-users. This allows businesses to track assets and manage devices while offering a robust platform for data analysis.
Mirabal sees IoT evolving through better connectivity, more bandwidth, and seamless integration across the entire value chain. The goal is for end-users to experience a unified platform that covers all aspects of their needs—whether it’s asset tracking for logistics or energy system management.
As the Artificial Intelligence of Things (AIoT) grows, Globalstar is in a strong position to leverage its edge computing capabilities to run AI inference models on its devices, further improving IoT solutions.
With its long history of pioneering satellite communications and a forward-thinking approach to emerging technologies, Globalstar is well-prepared to lead the next wave of IoT innovations.
