Whether you are a technology enthusiast or not, you must have heard of the term IoT (Internet of Things)? It is a trend that has caught up to our lives and soon we are going to witness a significant change in using smart devices as they will all be smartly connected.
The prime fuel to the IoT ecosystem is the data from the devices that are being managed by edge analytics. Edge Analytics goes beyond just collecting data from the source of its production and is more about the data being processed so that IoT can use it more effectively for better operations. This collected data is then processed, making IoT independent of internet access at all times.
Hence, effectively, with edge analytics in place, IoT devices can use data every time.
Automation has engulfed the business landscape. With advancements in technology, robots are getting more and more precise and are approaching human intelligence with cognitive capabilities. Edging automation down this path will augment humans by taking care of tasks that require human judgment or intervention repetitively.
Sounds promising, isn’t it?
Humans are moving closer to a world driven by technology, wherein automation will take care of mundane jobs and humans will be free to do more productive tasks. Machine Learning, Natural Language Processing, and Speech Recognition, collaboratively, define Cognitive Robotic Process Automation.
The applications of Cognitive Robotic Process Automation are quite widespread; let’s dive deep:
Tremendous advantages of Cognitive RPA have been witnessed by various marketing channels. A chatbot is a perfect example of a robot that is capable of answering queries regarding products and services without any human intervention. Voice assistants and recommendation engines have taken marketing to a whole new level where humans do not need to offer suggestions. Robots are able to perform human-like processing of data to assist customers, enabling them to make a choice.