

Neurobiological and Cybernetic AI for Manufacturing, Part 2 - with Oleg Savin of Unilever
May 20, 2025
In this insightful discussion, Oleg Savin, an Enterprise Architect and MES Expert at Unilever, shares his expertise on neurobiological and cybernetic AI for manufacturing. He emphasizes the critical role of data in enhancing operational efficiency and the need for smarter systems that empower frontline workers. Oleg discusses the integration of IT and OT to boost stability and ROI, and highlights how understanding AI architectures can transform leadership in manufacturing. This compelling conversation is a must-listen for those aiming to bridge innovation and practical application.
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Data Underutilization in Manufacturing
- Less than 10% of collected manufacturing data is used to generate value or knowledge.
- Smart systems based on AI and ontological models can extract and utilize valuable patterns from vast unstructured data.
Neural Networks vs. True AI
- Neural networks are not true artificial intelligence as they lack perception and understanding.
- Real AI needs a stable ontology and perception to generate meaningful knowledge beyond pattern recognition.
Leaders Must Understand AI Domains
- Business leaders should develop knowledge in philosophy, linguistics, neurobiology, and mathematics to understand AI’s full capabilities.
- These domains support building AI systems that mimic human-like cognitive processes and consciousness.