AI and ML continue to be critical trends in technology. They are used to automate tasks, make better predictions, and personalize experiences. AI and ML are finding applications in various industries, from healthcare to 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 the need for real-time processing and low latency becomes critical in applications such as autonomous driving or remote surgeries. This technology processes data closer to where it is generated, reducing latency and bandwidth use.
EMQ offers the technology industry a modern, reliable, scalable MQTT platform that connects, moves, and processes IoT and AI data in real-time from edge devices to the cloud.
EMQX is an all-in-one platform offering multi-protocol connectivity, scalable MQTT broker, rules engine, and real-time data processing capabilities.
Utilizes MQTT for efficient data transmission in real-time, ideally suited for IoT scenarios facing limited bandwidth and unpredictable network conditions.
Extract, enrich, and transform real-time IoT data using the SQL-based rule engine.
Connect millions of devices effortlessly for large-scale applications. Transfer data between devices and the cloud reliably with no data loss.
EMQX offers advanced security features, including TLS/SSL encryption, authentication, and access controls, to safeguard sensitive information in connected cars.
Seamlessly integrate with devices, databases, and cloud services, enabling efficient data storage, processing, and analytics.
Smart home devices can use MQTT as a central hub to communicate with each other, mobiles, and cloud applications.
Using MQTT to connect industrial devices and publish data to the cloud, which can be used to monitor machine health in real time and predict potential failures.
Vehicles with sensors and telematics devices can use MQTT to send data like location, speed, and engine status to a central server. This data can then be used for fleet management, preventive maintenance, and real-time tracking.
To accomplish carbon neutrality, industries need efficient energy management systems. These systems leverage real-time production, consumption, and equipment data to reduce energy costs.
In healthcare, wearable devices and sensors can use MQTT to transmit patient data to healthcare providers in real time. This can enable continuous health monitoring and early detection of potential health issues.
Monitor and control various services like traffic management, waste management, and environmental monitoring in real time. Sensors across the city can send data to a central system, which can then make data-driven decisions to improve city services.