The Winning Combination: RPA and Automation for Enhanced AI and NLP

Robotic Process Automation (RPA) has gained popularity for being able to handle repetitive, manual tasks that are time-consuming. It can make tasks such as data processing and reporting much easier and faster. Artificial Intelligence (AI) and Natural Language Processing (NLP) can greatly benefit from RPA. In this article, we will delve into how RPA can aid AI and NLP and why all three technologies should work together.

AI and NLP have a long history, starting in the 1950s with rule-based algorithms. However, it wasn’t until the 2010s that AI and NLP really started to gain speed with the help of big chip manufacturers and research advancements. Nowadays, AI and NLP are used in many organizations, but they tend to be for specific use cases and not for general AI and NLP.

RPA can aid in automation, which is necessary to get to a broader understanding and use of AI and NLP. RPA handles pre-processing automation well, which is helpful for data that is not in the exact shape or state that it needs to be in for AI and NLP. RPA can also handle combining and joining data from different sources in a special way, making data processing faster and easier.

The advantages of RPA are numerous. It can save time, increase efficiency, and allow for quick decision-making. In some cases, RPA can save up to 10% of an employee’s week by automating repetitive tasks. By removing the pre-processing of data and automating the combining and joining of data, RPA can make the final data ready for use in AI and NLP systems.

In conclusion, RPA can aid AI and NLP by automating repetitive, manual tasks, making data processing faster and easier, and making the final data ready for use in AI and NLP systems. All three technologies should work together to create a more efficient and effective system.