Intelligent Automation can gather and process both structured and unstructured data enabling businesses to utilize data to make decisions in a way that was not previously possible.
Intelligent automation can process beyond what humans are capable of processing. This means organizations can improve their speed of service, they can handle large volumes, increase the accuracy and complete the tasks that were henceforth deemed not possible.
It involves a range of functions which includes forecasting how much ice cream to supply each branch of a chain of stores based on the local weather forecasts to predicting whether a mole can be cancerous or not.
Intelligent Automation has evolved via different stages.
RPA: robotic process automation automates repetitive structured tasks that a person would typically perform on a computer.
OCR: optical character recognition extracts data from electronic documents. Example of which includes processing invoices to input into your accounting systems.
Chatbots: They are highly utilized automation tools that emulate human responses via text.
Machine Learning: It is the ability to automatically learn and adapt guitar algorithms and statistical models to analyze and draw conclusions from patterns. Example: fraud detection on your bank account, predicting which customers might leave a service, etc.
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Artificial Intelligence: It steps beyond machine learning as intelligent machines continuously learn to adapt and evolve models, recognizing new patterns in data in real-time.
We are in the age of technological evolution and intelligent automation makes a giant leap at a rapid pace. Especially so when most organizations are looking to accelerate new efficiencies. Intelligent Automation can serve as a tool for transformational thinking which can lead to the faster and more efficient delivery of goods at higher quality and maximum output with fewer resources.
