This book delves into the transformative impact of generative AI in the context of modern industrial settings, focusing specifically on the subtle distinction between original equipment manufacturers (OEMs) and process industries. Each industry faces unique challenges and oportunities in the era of Industry 4.0 and 5.0, further complicated by the rapid development and integration of emerging technologies. The narrative begins with a fundamental exploration of the business models and strategic nuances that define OEMs and process industries. It provides an in-depht examination of how these industries can leverage generative AI and other advanced technologies to optimize production, enhance innovation, and ultimately redefine market dynamics. The book explores the concept of "Human in the Loop" and formalizes the concept of "Human at the Edge", emphasizing the indispensable role of human oversight in AI-based systems. This discussion is framed in the broader transition from human-machine interface (HMI) to human-computer interaction (HCI), highlighting the shift toward more interactive and reciprocal frameworks in industrial applications. Significant attention is paid to the proactive capabilities of machines. It explores the evolution from reactive systems to intelligent entities that can anticipate needs and make decisions autonomously. This technological leap is contextualized in the principles of "Edge Computing" and "Small Language Models", which are key to local data processing, thereby improving operational efficiency and maintaining data privacy. In a critical discourse on creating a data-driven ecosystem, the book discusses how industries can integrate comprehensive data analytics into their operational strategies to promote informed decision-making and robust economic models. Finally, the book advocates a balanced approach to embracing technological hype. It encourages skepticism and thoughtful engagement with new tools and methodologies, ensuring that these innovations serve to enhance human work rather than replace it, emphasizing sustainability, ethical considerations, and the overall goal of human-centered design. Ultimately, readers are equipped not only with knowledge of current technologies but also with a critical perspective on their application, ready to make informed decisions that will shape the future of industries in an era increasingly dominated by artificial intelligence.
Biografia dell'autore
Federico Milan
Federico Milan lavora da oltre vent’anni all’intersezione tra tecnologia, sistemi complessi e pratiche di progettazione. La sua esperienza attraversa diversi ambiti dell’ingegneria, dell’architettura dei sistemi informativi e dell’automazione, con un’attenzione costante ai dispositivi che rendono il sapere operabile, tracciabile e condivisibile.
Nel tempo, il suo interesse si è spostato dalle singole soluzioni ai campi di possibilità che le rendono pensabili: l’insieme di regole, vincoli e condizioni che orientano il comportamento dei sistemi senza determinarne rigidamente gli esiti. In questa prospettiva, la tecnologia è per lui meno uno strumento da ottimizzare che un ambiente da abitare, osservare e interrogare.
La sua ricerca recente si concentra sulle dinamiche data-driven, sull’automazione e sulle forme di interazione tra esseri umani e sistemi tecnici, esplorate come giochi epistemici: contesti regolati in cui il significato emerge attraverso l’uso, l’attraversamento e la perturbazione.
