カテゴリー : Business | サブカテゴリー : Technology 投稿日 2023-10-10 19:12:01
At their most basic
level, automation solutions digitize and streamline routine work. Business
process management was an early example of automation. While RPA and artificial
intelligence share some characteristics, AI is data-driven, finding patterns in
data that enable process improvement. To achieve this, AI brings together
capabilities such as intelligent automation, machine learning, natural language
processing, reasoning, hypothesis generation and analysis. RPA, on the other
hand, is process driven, using bots that can only follow processes that are
defined for it by a user.
Robotic process
automation uses rules-based software to perform many back-office tasks at
extremely high speed and high volume. Time-consuming actions, such as filling
in forms and moving files, are being automated, freeing expensive human
resources for more strategic or complex activities. In addition to significant
cost savings and higher employee morale, RPA improves business agility to drive
higher customer satisfaction and helps reduce errors to support compliance
efforts. Furthermore, RPA solutions can require less coding and won’t disrupt
existing infrastructure and systems because software bots work at applications’
presentation layer.
