Orchestrating the Physical World with AI: EMQ's Unified Data Symphony
※本講演は英語での講演となります
提供EMQ Technologies Inc.
Picture vehicles that self-evolve, factories that outsmart chaos, and data pulsing like a neural network—unleashing agentic AI to turn market tremors into triumphs. EMQ, the Data Infrastructure leader providing a Unified MQTT platform that orchestrates 250M+ devices and 20M vehicles for 1,000+ enterprises, orchestrates V2X ecosystems to cloud and manufacturing—shattering silos for real-time interoperability and agile pivots.
You’ll master building your Unified Namespace (UNS)—an ontology-powered data fabric that hierarchically structures streams by function, insight, and asset via EMQX (scalable MQTT core), SDV-Flow (closed-loop SDV mastery), and NeuronEX (IIoT 4.0 edge intelligence). This transforms raw data into contextual insights that fuel agentic AI.
In the AI era, EMQ helps reduce the time-to-market of AI products, with ubiquitous computing that slashes costs via edge offloading, mines patterns, curates training data, and delivers secure, open-source compliance.
Speaker
EMQ Techniques Inc.
Director of Edge-computing Products and Solutions
Jaylin Yu
Jaylin Yu, Director of Edge Computing Solutions at EMQ, graduated from the Chinese University of Hong Kong (CUHK) and has long worked in IoT and data science. He previously led GIS/RS data analysis at UN ESCAP, published IoT papers in MSNCom, and holds patents.
Amid new energy and software-defined vehicles trends, he led EVPower’s design, development and launch of the industry’s first edge computing-based distributed charging pile system.
Currently at EMQ, he oversees edge computing solutions, contributing to large-scale TSP platform architecture for multiple OEMs. He initiated in-vehicle middleware NanoMQ for data closed-loop needs; combined with eKuiper and EMQX, it forms an engine widely used in mass-produced commercial and passenger vehicles.