Physical AI Pushes Enterprises to Rethink Machine Data Systems
Artificial intelligence (AI) is moving past text and chat tools into physical settings where machines must sense, interpret and act on their own, according to PCQuest. This shift, sometimes called physical AI, is forcing companies to redesign the technology backbone that supports AI, since it now has to handle real-world machine data and operational technology (OT), the systems that run factories and equipment, not just digital text. Pervinder Johar, Board Member and CEO of Avathon, explained in a conversation with PCQuest how this changes enterprise AI architecture. The shift matters for businesses planning AI systems that interact directly with physical equipment, sensors and industrial processes, rather than just answering questions or writing text.
Words to know
- Physical AI
- — AI systems that sense, interpret and act in the real, physical world, not just with text or chat.
- Operational technology (OT)
- — Hardware and software that monitors and controls physical equipment, like factory machines.
- Enterprise AI architecture
- — The overall design and structure of systems a company uses to build and run AI.
- Copilots
- — AI assistants that help humans with tasks, often through chat or prompts.
Summary written from PCQuest's headline and teaser