Episode Details

AI has learned from the digital world. Physical AI brings real world data into the picture.

Doron Hazan, Director of Products and AI at Wiliot, joins The Tech Trek to explain how physical AI connects AI systems with objects, environments, and supply chains.

The challenge is not simply processing data. It is collecting accurate, current information from the physical world.

Doron explains how ambient IoT, sensors, statistical inference, and cloud systems can help companies understand where assets are, what condition they are in, and what may happen next.

The conversation also covers the role of human judgment. Supply chains require many decisions, often with consequences that spread across the system. That makes guardrails and human involvement especially important.

Key Takeaways

• Physical AI connects AI systems with data from the real world.

• Better supply chain visibility starts with accurate, current physical data.

• Real time decisions matter, but decision accuracy matters more.

• Human judgment remains important when AI affects physical operations.

Highlights

01:53 What separates physical AI from traditional AI

03:18 Why real world data collection changes the problem

07:19 Supply chain visibility and practical use cases

11:57 How quickly physical AI systems can make decisions

12:48 Why guardrails matter in supply chain automation

15:28 Robotics, distributed physical AI, and connected systems

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