Intelligent Automation

Take on today’s challenges while building architecture for tomorrow

Overview
Pillars
Intelligent Automation Offerings
Benefits
Insights

Although Robotic Process Automation (RPA) is an emerging technology, the benefits produced-have shown that it has the potential to take businesses to the next level of digital transformation. As companies embrace automation and increase its application within their systems, the next logical step is to move towards Intelligent Process Automation (IPA) or Cognitive Process Automation (CPA) to leverage the power of AI-based technologies such as Machine Learning, Natural Language Processing, and Cognitive Computing. When combined with these next-generation digital technologies, RPA evolves into Intelligent Automation, delivering additional value by learning and adapting to optimize its processes.

Pillars

Natural Learning Process

NPL is the automatic computational processing of human languages in which the main goal is to read, decipher, understand, and practically make sense of human languages.

Machine Learning

Machine learning is a data analysis method based on the idea that systems first learn from data, identify the patterns, and make informed decisions with minimal or NO human intervention.

Data Mining

Data mining is a technique in which a broad range of technologies are used to automatically search for a large volume of data and find trends, anomalies, and patterns to predict outcomes, solve problems and mitigate risks.

Cognitive reasoning

It is the process of modeling the human’s ability to derive meaningful conclusions with incomplete and inconsistent knowledge or data available.

Voice recognition

It is a software program that can transform the human voice into text or voice to operate a device and perform commands without using keyboards.

Optical character recognition

Optical character recognition is a business solution extracted automatically from printed or written text, and then the text is converted into a machine-readable form.