The field of AI Automation encompasses many technological advances that allow machines to perform tasks that were once the realm of humans. In the past, self-driving cars and trucks were a far fetched dream, but now this technology is a reality. Similarly, artificially intelligent assistants can be seen in stores and on Internet search engines assisting humans with their shopping requests.
There are two types of AI automation: mechanical and non-movable. Non-movable AI automated systems monitor and control physical infrastructure such as networks, data centers, and manufacturing facilities. They run by pre programmed algorithms and execute tasks when sensors detect they are needed. Mechanical AI automation is the other type; it operates entirely on non-movable, user-defined inputs. Examples of mechanical processes that use artificial intelligence are sensors, decision trees, and language processing technologies.
One of the most interesting uses for artificial intelligence is business processes. Large numbers of business processes exist that have become routine over time. These business processes include inventory management, customer service, human resource management, distribution, production, financial analysis, human resource management, and business process optimization. Robotic process automation software can take each of these business processes and replace the individual processes with a single, large, interactive database. Instead of needing to individually monitor, evaluate, and train employees each employee can work from his or her own laptop or tablet, where they can make changes to the business processes as they need them, as well as receive updated information about the status of their assignment.
AI Automation can also be used to make decisions about the future of a company. Should the company sell off its stock of assets? Or would it be better to buy a large amount of inventory and let the market dictate what the price should be? Should the company put itself into debt and file for bankruptcy? All of these questions are possible with the use of robotic process automation. AI software will actually do the monitoring and making decisions for the company based on the data that it receives, analyzed, and stores in its memory banks.
AI automation is only one part of the broad umbrella of artificial intelligence. Another component of AI is reinforcement learning. This concept involves the training of an artificial intelligence system to perform a task – in this case, to recognize photos of faces. If the system is trained to recognize a person it should then be able to discern a person in any given photograph. This concept is similar to the process by which a toddler builds blocks of simple elements over time, until such time as he or she is capable of determining the purpose of a block, what color should be attached to it, and so forth.
A newer application of artificial intelligence is used in robotic process automation. Called LPI ( Linear Prospectimization), this form of AI makes use of data to represent future states of any physical system. In fact, the application of this technology is so advanced that a recent article in the Wall Street Journal described a recent experiment in which a “robot” managed to perform the movements of four hundred people at once, all without manual coordination.
Of course, as this field of AI continues to blossom and improve, we may observe even more sophisticated forms of AI in the future. Researchers have already created a system which combines both reinforcement and LPI techniques to create a fully operational artificial intelligence system which can complete basic day-to-day tasks, such as operating a camera from a remote location, and even translating speech from an off-site transcription provider. This is only the beginning, as researchers continue to strive to perfect this technology. The ultimate goal, according to experts, is to make a computer system which can not only understand basic verbal communication, but also anticipate and execute language which is intended to be understood. Such technologies, it is believed, will pave the way for more intelligent automation across industries.
Perhaps the most significant aspect of today’s rise to AI automation is the ease with which businesses are now able to use this technology. Most businesses can now process the majority of their routine business processes through a combination of structured data, artificial intelligence, and robotics. Structured data refers to a variety of factors which lead to increased business performance, such as customer demographics, sales figures, location of sales personnel, etc., whereas artificial intelligence refers to technologies which enable computers to recognize, remember, and manipulate large quantities of unstructured data. Finally, robotics is the term used to describe the software which enables business processes to be performed by machines.