Future(connected) = IoT + AI + ML
AI is advancing rapidly, with increasing datasets, models, and powerful hardware accelerating adoption across industries. Semiconductor vendors and distributors are collaborating to offer accessible, open-source models integrated into hardware platforms.
While AI is still in the early adoption stage, multimodal AI—which combines multiple data types like text, audio, and images—is emerging as the next major milestone. Agentic AI systems, composed of autonomous, task-specific agents, are also gaining attention for building intelligent systems.
Deploying multimodal AI at the edge brings challenges due to limited processing capacity. Solutions include lightweight or cascaded models, multi-core processing, and embedding AI directly in sensors. These strategies are driving real-world use cases like autonomous robots and predictive maintenance.
