TIM-8210 v4

Golan, S. (2019). New software technology advances the practicality of Quality 4.0: It's time to close the gap between Quality 4.0 and Industry 4.0. Quality, 58(10), 42-44.
With the advent of Industry 4.0 or the digital era, quality must adapt and incorporate control criteria to ensure controlled implementations, deployments, and later operations of new technologies, like AI, machine language, among others.

Gordon, P. A., & Overbey, J.A. (2019). Advances in the technology of managing people: Contemporary issues in business. Emerald Publishing Limited.
This reference is important because it provides Agile methodology applications in technology organizations, while also considering new or emerging technological innovation considerations, such as artificial intelligence.

• Read Chapter 12: Issues and Advantages of Advanced Analytics, Machine Learning, and Artificial Intelligence in the Workplace
• Read Chapter 13: Ambient Intelligence Changes the Office Environment
• Read Chapter 14: Disruptive Innovations: Blockchain and Spinoffs

Merrill, P. (2019). Be ready: Develop your people and process skills to be a part of Quality 4.0. Quality Progress, 52(10), 54-56.
Another interesting read on the evolution of quality to match industry evolution into the digital age, or Industry 4.0.

San-Payo, G., Ferreira, J. C., Santos, P., & Martins, A. L. (2020). Machine learning for quality control system. Journal of Ambient Intelligence and Humanized Computing, 11, 4491.
This is important because it provides a practical example of the implications of machine learning on quality control systems.