Show notes
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.Highlights01:53 What separates physical AI from traditional AI03:18 Why real world data collection changes the problem07:19 Supply chain visibility and practical use cases11:57 How quickly physical AI systems can make decisions12:48 Why guardrails matter in supply chain automation15:28 Robotics, distributed physical AI, and connected systemsFollow The Tech Trek for more conversations about AI, engineering, product, and technical leadership.
