As technology continues to permeate every aspect of our lives, terms like “automation” and “artificial intelligence” are becoming more prevalent, especially in the field of research. Despite often being used interchangeably, these two concepts are distinct and have different applications in laboratory settings.
"As laboratories face increasing demands for high throughput, there has been a surge in the development of automated data management processes"
In any research project, data is crucial, but traditional methods of manual data collection and processing can be both time-consuming and error-prone.
