28
May
The growing interest in connecting resources to operational success and minimizing labor expenses has been a driving force behind a significant amount of research on automation. This is especially true when considering the vast number of software programs that are currently available for use on networks and in the cloud. The convergence of artificial intelligence and automation has resulted in a significant increase in processing power. This has made it feasible to replace shift-based programming with continuous automated process performance and programming that "learns" from different scenarios. However, the effectiveness of automation is directly proportional to the manner in which…