Predictions for AI and Automation in 2020
Sun, April 18, 2021

Predictions for AI and Automation in 2020

AI and automation will only get bigger this 2020. / Credits: Phonlamai Photo via Shutterstock

 

Artificial intelligence and automation are driving many industries to success. Last 2019, they certainly accelerated the game for sectors and businesses, developing more and more tools and helping to address issues they face. This 2020, it is expected that AI and automation will only get bigger.

According to IT Brief New Zealand, an online site dedicated to IT decision-makers at enterprise, corporate, and government organizations throughout New Zealand, organizations are planning to deploy AI and automation due to their potential to streamline workflows and improve customer service. These technologies would be placed in areas that until now have required human intervention. Here are some key trends that we can expect in AI and automation:

1 - The rising importance of data governance

It is predicted that the responsibility for data governance will be given to senior executives only. This is because more organizations are recognizing the importance of data. They are particularly concerned by how data is sometimes lost or mismanaged. Master and metadata management are also projected to become much larger concerns as more data is used by AI tools and RPA robots.

2 - Routine work will continue to disappear

It is predicted that more than 50% of routine and repetitive work will disappear by 2020 due to the increasing numbers of RPA robots and AI-powered chatbots within organizations. This also means that bots’ capabilities would increase, which would allow them to provide a more satisfying experience for users. 

3 - The rise of RPA robot

The capabilities of the RPA robot are predicted to expand this 2020. This means that their usual work of doing tasks in a very rigid, rules-based way will increase. These robots are predicted to become more adept at making decisions based on the documents they scan. They would also operate autonomously with the help of machine learning and AI algorithms.