10 Best Intelligent Automation Technologies To Rule In 2022

10 Best Intelligent Automation Technologies to Rule in 2022

by Alex Noah — 2 years ago in Artificial Intelligence 2 min. read

These are the 10 most prominent intelligent automation technologies that will rise to prominence in 2022. Intelligent automation technologies enable the creation and design of flexible, resilient, modern business operating systems.

Intelligent automation (IA), which combines robotic process automation with advanced technologies like artificial intelligence (AI), analytic, optical character recognition, intelligent character recognition, (ICR), process mining, and analytics, creates end-to-end business processes capable of thinking, learning, and adapting on their own.

Hyper-automation and intelligent process automation are other names for intelligent automation. This article focuses on the 10 most important intelligent automation technologies that will rise to prominence by 2022.

10 Best Intelligent Automation Technologies

1. Artificial Intelligence

Artificial intelligence uses sensors, digital data, and remote inputs to combine information from many different sources, analyze it instantly, then act on the insights. Artificial Intelligence will be a prominent technology in intelligent automation by 2022.
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2. Machine Learning

Machine Learning is next on the list. It is a sub-field of computer science and artificial intelligence (AI). It focuses on using data and algorithms to mimic the human learning process, improving its accuracy over time. Machine learning algorithms make use of historical data to predict new output values.

3. Structured data

Structured data refers to data that has been organized and formatted in a database. These records follow a predetermined structure or set of rules. It is easier to process structured data. Structured data can include names, addresses, phone numbers, and purchase history.
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4. Computer Vision

Computer vision refers to intelligent automation in which computers and systems can derive meaningful information using digital images, videos, and other visual inputs. Based on this information, they can take action or make recommendations.

5. Natural Language Processing

Natural language processing is among the 10 most important intelligence automation technologies. It will be a dominant technology in 2022.

NLP is a subfield in linguistics, computer science, and artificial intelligence that deals with interactions between computers, human language, and computers. It focuses on how computers can process large amounts of natural language data and how they can program them to do so.
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6. Process Mining

The process mining component of intelligent automation and process managing supports the analysis of operational processes using event logs. Process mining is about turning event data into insight and action.

7. Virtual Assistants

Virtual assistants are programs that can understand natural language voice commands, complete tasks for users, and offer remote services to businesses. Chatbot functionality is combined with virtual assistant services in virtual assistant chatbots. In 2022, a virtual assistant will be one of the most important intelligent automation technologies.
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8. Warehouse Robots

Warehouse robots are highly skilled automated robots that can perform essential tasks such as picking, sorting and transport. Retail service robots use the big-data intelligence of customers to provide smart and useful customer service in-store.

9. Robotic Process Automation

Robotic process automation (RPA), a software technology, makes it simple to create, deploy, manage and maintain software robots that mimic human actions when interacting with digital systems or software.

Software robots are able to understand what’s displayed on a screen and complete keystrokes. They can also navigate systems and identify and extract data.
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10. Optical Character Recognition

The electronic or mechanical conversion of images from typed, handwritten, or printed text into machine-coded text using optical character recognition (or optical character reader) is called optical character recognition.

It can be done from scanned documents, photos of documents, scene photos, or subtitle text that has been superimposed on an image.

Alex Noah

Alex is senior editor of The Next Tech. He studied International Communication Management at the Hague University of Applied Sciences.

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