
In this episode of ARC’s Industrial AI Podcast, Rajkumar Paira and Leena Kanickaraj speak with Sumit Sethi, VP and GM at eInfochips, about how AI is redefining Industrial IoT. Sumit highlights the rise of physical AI—self-learning systems capable of real-time decision-making at the edge—and shares that by 2026, half of all new IoT deployments are expected to include AI at the endpoint. eInfochips is capitalizing on this shift through three strategic pillars: domain-specific AI integration, chip-to-cloud engineering, and intelligent automation.
Sumit also addresses key challenges such as data silos, AI model drift, and the need for interoperability. He underscores the growth of AI-as-a-Service (AIaaS) platforms and the importance of ecosystem collaboration among silicon, device, and cloud partners. From autonomous mobile robots to energy-efficient infrastructure, Sumit sees industrial automation and smart infrastructure as areas primed for disruptive AI-led growth. His advice to businesses: focus on collaboration, agility, and trust to thrive in the evolving AI landscape.
