Artificial Intelligence as the Engine of Invention: Revolutionizing Production, Decisions, and Consumer Value
Bvuma S. 1 , Sathekge M. S. 1
1 University of Johannesburg, South Africa
The chapter discusses three overlapping areas of transformative effects of artificial intelligence (AI) smart manufacturing, augmented decision-making, and personalized consumer experiences. In the manufacturing industry, AI can be used to facilitate predictive maintenance, intelligent supply chains, and human-robot cooperation and improve efficiency and resilience. Cognitive automation, predictive analytics, and scenario planning AI are used to supplement human judgment in the decision-making process, enhance accuracy without losing human control. To consumers, AI is giving them hyper-personalized experiences through recommendation systems, behavioral analytics as well as conversational interfaces, and raises ethical issues of privacy and filter bubbles. To be implemented effectively, it must include data quality, workforce up-skilling, governance and responsible innovation.
artificial intelligence, smart manufacturing, augmented decision-making, personalized experiences, ethics.
APA
Bvuma, S., & Sathekge, M. S. (2026). Artificial intelligence as the engine of invention: Revolutionizing production, decisions, and consumer value. In Y. B. Melnyk & M. A. Segooa (Eds.), Artificial Intelligence in Digital Society, Vol. 1. (pp. 03–117). KRPOCH. https://doi.org/10.26697/aids.2026.7
Harvard
Bvuma, S., & Sathekge, M. S. "The evolution of the theory and practice of artificial intelligence. In Y. B. Melnyk & M. A. Segooa (Eds.)". Artificial Intelligence in Digital Society, Vol. 1. [online] pp. 03–117. viewed 10 March 2026, https://culturehealth.org/hogokz_knigi/Arhiv_DOI/aids/aids.2026.7.pdf Vancouver
Bvuma S., & Sathekge M. S. The evolution of the theory and practice of artificial intelligence. In Y. B. Melnyk & M. A. Segooa (Eds.). Artificial Intelligence in Digital Society, Vol. 1. [Internet]. [cited 10 March 2026]; 03–117. Available from: https://doi.org/10.26697/aids.2026.7 https://culturehealth.org/hogokz_knigi/Arhiv_DOI/aids/aids.2026.7.pdf
Bvuma Stella – https://orcid.org/0000-0001-8351-5269; PhD in Information Technology Management; Professor, Director, University of Johannesburg, Johannesburg, South Africa.
Sathekge Machiniba Sylvia – https://orcid.org/0009-0001-9410-3267; Doctor of Business Administration, Doctor, Professor of Practice, University of Johannesburg, Johannesburg, South Africa.