With intelligent automation technologies such as robotic process automation, machine learning, computer vision and more, your business will be taken to heights never seen before! Intelligent automation systems are able to take in and learn vast amounts of information and can automate entire processes or workflows. They learn and adapt from these processes as they go and don’t require much human intervention.
The five categories to the right describe the composition of Intelligent Automation.
Robotic Process Automation or RPA is a powerful tool that allows for the automation of processes within businesses. RPA solutions apply software automation to tasks that are mundane in nature and prone to human error. The implementation of these solutions provide both an increase in efficiency due to the speed at which a machine can perform these tasks, and increased accuracy at which a machine can perform these repetitive tasks. In fact, in most cases, the RPA solution should be able to perform the task with a 100% accuracy rate.
Many of the tasks that RPA automates with ease are often considered mundane and tedious, like as in invoice processing, claims and sales order processing, and manual entry of information into a database.
Machine Learning falls under the umbrella of Artificial Intelligence (AI); that is, it does not require specific instructions, such as if/then statements, to make decisions in a given context. Machine learning takes in the data you feed it and begins its journey in understanding patterns and making predictions.
Machine Learning has been used for many things, such as taking in the information to monitor whether working conditions are in compliance. It can also make predictions of stock market fluctuations at speeds quicker than any human possibly can. Deep Machine Learning is one step above and can take any unstructured data and learn from it, unsupervised. It is comprised of neural networks that can learn from, adapt and improve your processes.
In the age of Big Data and the Internet of Things, Integratz wants to help you leverage Machine Learning to help make prediction models based on data from any of your processes, structured or unstructured, and ultimately lead you into efficiency.
At the fundamental level, computers speak in a language 1s and 0s; a structured and logical language that is concise, highly structured, and leaves little room for misinterpretation. Human language, on the other hand, is much more nuanced and is constantly changing and evolving. Computers are capable of comprehending some of this language, but without proper programming, the computer may not comprehend synonyms such as “twelve” or “a dozen” which are all part of common speech. Natural Language Processing (NLP) software allows computers to understand and interpret language in a manner similar to that of humans allowing the computers to become more intuitive, user-friendly, and capable of parsing through the vast amount of unstructured data available on the internet.
Besides the advantages Natural Language Processing offers to the average consumer such as the spam filters protecting email inboxes, NLP offers many advantages to businesses on a larger scale. NLP can be used to great advantage for social media platform analytics, it can detect the sentiment of audience engagement in order to reveal how the public feels about your products and services, providing a great deal of analytic data without using as many resources targeting consumers.
Natural Language Processing is useful in and of itself, but when paired with other AI software, it can become a vital tool for an organization. A chatbot that has NLP becomes much more capable of understanding the requests of users while also communicating more like a human, increasing user interaction and satisfaction. As human chatter continues to fill the web, Integratz wants to help you and your business make use of the chaos and cacophony.
Computer Vision is the ability that a computer may possess to process digital images or videos using OCR – optical character recognition – in order to gain knowledge of a certain visual cue, and understand certain visual patterns. A program might use computer vision to be able to recognize hazardous working conditions or detect the faces of various celebrities. Autonomous vehicles utilize Computer Vision in order to determine obstacles, road signs, lane changes and more.
This technology could do something as simple – yet helpful – as inspecting bottles on a production line, or help identify visual issues that are potentially too quick for the human eye to process. Furthermore, the technology – as with our RPA solutions – are able to perform at a higher degree of speed and accuracy than a human is able.
Computer vision is a part of the AI frontier and a component of IA – Intelligent Automation, of which Integratz is keen in playing its part.
Inspired by human cognition, Cognitive computing focuses on reasoning and understanding at a higher level in a manner analogous to human cognition. Cognitive computing and the services that employ it rely on deep learning algorithms and neural networks that process incoming data by cross-referencing it with a teaching set of data. It compares the differences and similarities between the two and attempts to make an informed decision based on the data available.
The decision-making process itself is performed thorough a complex decision tree structure that informs and dictates the bot’s next action. A good example of how Integratz leverages cognitive computing is via chatbots, which are equipped with natural-language processing, and are capable of deciphering the intentions of a user in their own words, typically written in a text box, and then responding to provide assistance. True cognitive computing differs greatly from virtual assistants like Google or Siri, which consist solely of pre-programmed responses.
Perhaps the biggest advantage of cognitive computing is that the more data the system is exposed to, the more it learns, thus, the more accurate it becomes over time. Cognitive computing is growing quickly with obvious applications to any number of fields in which massive quantities of data need to be analyzed and processed in order to solve problems including law, finance, healthcare and education.
Cost savings of approximately 80-90% can be achieved when a business process is transformed from a manual human driven process to an automated process performed by a digital worker (software bot). These bots are able to do more tasks consistently with high quality, faster and more efficiently, saving your business money.