TCOM's AIoT Technologies Showcased at AMD Embedded Tech Day 2026 in Malaysia

On July 22, at AMD Embedded Tech Day 2026 held in Penang, Malaysia, AIoT technologies and solutions researched and developed by TCOM were showcased to businesses and technology partners across the region through an international collaboration ecosystem.

The event brought together enterprises, industry experts, and solution providers specializing in Embedded Computing, Edge AI, industrial automation, and computing infrastructure. It served as a platform for participants to explore the latest technology platforms while exchanging insights on applying AI to real-world operational challenges.

The introduction of TCOM's technologies at the event further demonstrates the research and development capabilities of Vietnamese technology companies in AI solutions while creating new opportunities to connect with the global technology ecosystem.

Edge AI Expands AI Adoption Across Enterprises

One of the key highlights of AMD Embedded Tech Day 2026 was the growing trend of bringing AI closer to where data is generated through the Edge AI model.

Instead of transmitting all data to the cloud for processing, Edge AI enables artificial intelligence models to run directly on edge devices or on-site servers. This approach reduces latency, enables real-time responses, minimizes dependence on network connectivity, and enhances data security.

This is also the direction TCOM is focusing on in its AIoT, AI Vision, and enterprise digital transformation projects, particularly for systems that require continuous operation in factories, warehouses, transportation networks, and industrial environments.

Bringing AI Technologies to Real-World Operational Challenges

TCOM is not only committed to AI model research but also to building a comprehensive ecosystem of solutions that can be deployed effectively in real-world environments.

By integrating AI, IoT, Computer Vision, and Edge Computing, TCOM's solutions help enterprises address a wide range of operational challenges, including:

• Workplace safety monitoring using AI Cameras.

• Detecting safety violations and hazardous situations.

• Monitoring vehicles, forklifts, and hazardous areas in factories.

• Counting people and vehicles while analyzing operational traffic.

• Performing real-time image and video analytics on edge devices.

• Integrating data from cameras, sensors, and management systems into a unified platform.

The introduction of these technologies at a specialized event dedicated to Embedded Computing and Edge AI demonstrates TCOM's ability to meet increasingly demanding requirements for performance, processing speed, and system reliability.

Strengthening System Integration Capabilities and Technology Expertise

Successfully deploying AI systems in enterprises requires much more than AI models alone. AI solutions must also be seamlessly integrated with hardware infrastructure, cameras, sensors, networking systems, management software, and existing operational processes.

With expertise in Software Development, System Integration, AI, IoT, and Embedded Technology, TCOM is capable of supporting customers throughout the entire implementation lifecycle - from solution architecture consulting and software development to hardware integration, system operation, and performance optimization.

This system integration capability enables AI technologies to move beyond proof-of-concept projects and become an integral part of daily business operations and enterprise management.

Expanding Connections Within the Global Technology Ecosystem

The showcase of TCOM's technologies and solutions at AMD Embedded Tech Day 2026 opens up new opportunities for collaboration and knowledge exchange with partners across the hardware, Embedded Computing, and Edge AI ecosystem.

Through its international partnership network, TCOM continues to adopt emerging technology platforms, strengthen its integration capabilities, and gradually expand the application of AI solutions developed by Vietnamese engineers.

Looking ahead, TCOM will continue investing in AI, AIoT, and Edge Computing, while deepening collaboration with technology partners to develop high-performance, flexible solutions that support the digital transformation needs of businesses in Vietnam and international markets.