Autonomy in Industrial AI

This chapter explores the emergence of autonomous solutions in industries as a response to workforce shortages due to retiring experienced workers. It discusses how intelligent automation and multi-agent frameworks can enhance efficiency and decision-making, serving as advisors for real-time monitoring and actionable insights. Additionally, the chapter highlights the evolution of AI systems from traditional analytical methods to advanced hybrid approaches, focusing on cognitive aspects and model explainability to build trust and empower a broader range of professionals.