AI and ML continue to be critical trends in technology, serving to automate tasks, enhance predictions, and personalize experiences. Their applications span diverse industries, ranging from healthcare and finance to entertainment.
The number of connected devices continues to grow, leading to an increased demand for IoT solutions. These solutions enable better data collection and analytics, improved efficiency, and new capabilities like remote monitoring and control.
The rollout of 5G is revolutionizing mobile connectivity with faster speeds and lower latency. This enables real-time applications like autonomous vehicles and remote surgery and enhances the capabilities of IoT and edge computing.
Edge computing is becoming increasingly important as real-time processing and low latency demand become critical in applications such as autonomous driving or remote surgeries. This technology processes data closer to where it is generated, reducing latency and bandwidth usage.
Connect massive devices, edges, and cloud platforms with the unified MQTT platform.
Support all-in-one access to any IoT device across networks via open standards such as MQTT, OPC UA, CoAP/LwM2M, WebSocket, or industry proprietary protocols.
Support real-time data streaming and processing, allowing telecom operators to collect, analyze, and act upon data from various devices and sensors in real-time.
Effortlessly connect millions of devices for large-scale applications. Ensure reliable data transfer between devices and the cloud without any loss of data.
Secure communications with MQTT over TLS/SSL or QUIC and various authentication mechanisms using LDAP, JWT, PSK, X.509 certificates, and more.
Using a visual flow designer, integrate with existing telecom infrastructure and enterprise systems, including Kafka, SQL, NoSQL, and time series databases.
Enhance edge capabilities with industrial gateways and stream processing to enable seamless collaboration between edge devices and cloud applications.
MQTT is widely used in the telecom industry for various use cases due to its flexibility, scalability, and reliability. It is a versatile protocol that is well-suited for IoT and communication scenarios.
Manage and monitor their devices deployed in the field efficiently. They can remotely provision, configure, and update the firmware of devices using MQTT-based commands and messages.
By integrating technologies like 5G networks, MEC, AIoT, and MQTT, operators can build DMP/AEP platforms, fostering the acceleration of the digitization process.
Enable real-time data collection and telemetry in telecom networks, providing valuable insights into network performance, device status, and environmental conditions.
Monitor the status, health, and performance of telecom assets in real-time. Control and configure devices, perform diagnostics, and trigger actions for fault detection and resolution.
Enable efficient alarm and event management in telecom by publishing alarms to MQTT brokers, triggering real-time notifications for timely incident resolution and maintenance.
Deliver subscriber services and messaging, such as push notifications, SMS alerts, and over-the-air updates for devices in the telecommunications industry.