IoT Tech Expo North America 2025 highlighted the convergence of Industrial IoT, AI, and edge computing, emphasizing the need for enterprises to adapt quickly to stay relevant.
Edge computing is evolving to become the primary point of value creation in real-time systems, with a projected 400% increase in edge devices in the next five years.
AI and IoT were lauded as a potent combination driving industrial transformation, with AI at the edge enabling autonomy and responsive decision-making.
Predictive maintenance is maturing, shifting towards data-centric scheduling and dynamic predictive models based on AI and machine learning.
Resilience is fundamental in complex edge networks, leading to the rise of self-healing systems that adapt and recover autonomously.
Agentic AI, capable of real-time decision-making at the edge, is emerging as a key aspect, enabling automation in sectors like manufacturing.
Data overload emerged as a significant challenge, emphasizing the need to clean and desilo data for actionable insights and real-time intelligence.
The expo stressed intentional innovation, urging businesses to focus on solving real problems, collecting relevant data, and applying intelligence for decision-making.
The call to action is to re-architect for a future of distributed, intelligent decision-making to stay ahead of the curve in the face of upcoming technological advancements.