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Cognitive Automation

Cognitive agents interacting with users can handle tasks that require judgement and learning.

AI techniques applied to automating specific business processes

Unlike other types of AI, such as machine learning, or deep learning, cognitive automation solutions imitate the way humans think. This means using technologies such as natural language processing, image processing, pattern recognition, and — most importantly — contextual analyses to make more intuitive leaps, perceptions, and judgements.

What does cognitive automation mean for the enterprise?

The integration of different AI features with RPA helps organisations extend automation to more processes, making the most of not only structured data, but especially the growing volumes of unstructured information. Unstructured information such as customer interactions can be easily analysed, processed and structured into data useful for the next steps of the process, such as predictive analytics, for example.

Cognitive automation creates new efficiencies while improving the quality of business. As organisations in every industry are putting cognitive automation at the core of their digital and business transformation strategies, there has been an increasing interest in even more advanced capabilities and smart tools.

Cognitive Automation

The differences between cognitive automation and RPA

Application

Robotic process automation (RPA) uses software robots to mimic repetitive human tasks with accuracy and precision. It is ideal for processes that do not require human intervention or decision-making. Conversely, cognitive automation imitates human behaviour for more complex tasks that are data-heavy and require human decision-making.

Technology

RPA uses basic technologies, such as workflow automation, macro scripts and screen scraping. It depends on framework configuration and deployment. Conversely, cognitive automation uses advanced technologies, such as data mining, text analytics and natural language processing, and works fluidly with machine learning.

Data Processing

RPA can only process structured or semi-structured data formats. Cognitive automation processes unstructured data by learning and finding similarities.

Method of Automation

RPA is a process-oriented technology and uses rule-based principles to work on time-consuming tasks. Cognitive automation is knowledge-based and defines its own rules by understanding human conversations and behaviours.

Application

Robotic process automation (RPA) uses software robots to mimic repetitive human tasks with accuracy and precision. It is ideal for processes that do not require human intervention or decision-making. Conversely, cognitive automation imitates human behaviour for more complex tasks that are data-heavy and require human decision-making.

Technology

RPA uses basic technologies, such as workflow automation, macro scripts and screen scraping. It depends on framework configuration and deployment. Conversely, cognitive automation uses advanced technologies, such as data mining, text analytics and natural language processing, and works fluidly with machine learning.

Data Processing

RPA can only process structured or semi-structured data formats. Cognitive automation processes unstructured data by learning and finding similarities.

Method of Automation

RPA is a process-oriented technology and uses rule-based principles to work on time-consuming tasks. Cognitive automation is knowledge-based and defines its own rules by understanding human conversations and behaviours.

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