Convenience and efficiency are the leading factors that result in change. With technology ever changing the ways in which businesses operate, new programs and features improve the capabilities of companies. By implementing these renovating processes, operations can benefit significantly, leading to growth in all areas. New developments in Artificial Intelligence (AI), Machine learning and Optical Character Reading technology has created opportunities for businesses to streamline certain aspects. Using optical recognition, inputs and searches can be made at significantly faster rates. This technology combined with Machine Learning/Artificial Intelligence has produced software that can strengthen security and management.  

OCR, abbreviated for Optical Character Recognition, enables different types of documents that are captured by digital camera into useable data. Instead of having to manually input the information that is on there, it automatically recognizes the data and inputs it into a storage system. Artificial intelligence is a technology that attempts to recreate the same understanding and interpretation found in human thinking. Machine Learning, a subset of Artificial Intelligence, are computer algorithms that improve as they receive more information. These technologies are combined together to create scanning tools that can read information off standardized documents for various uses. 

Because all of this is being performed by a computer, the process is quicker than any human could physically input. This fast detection and recording reduce the time that consumers have to wait compared to manual entry. Additionally, errors are far less common. Humans naturally make mistakes, and when taken over larger sample sizes, this can pose as a significant disadvantage. When events like these occur, consumers are faced with unnecessary hassles and significant effort has to be made by companies to ensure that they make the correct decision. As an example, if only particular individuals were allowed into a building, a mistake during manual entry poses several problems. How does the consumer explain the mismatching information? How can the company know if a person is attempting to pose as another? Not only does this type of program reduce these mistakes, they improve upon experience. As more information passes through, machine learning allows for algorithms to accelerate processing.  

Because all of this is being performed by a computer, the process is quicker than any human could physically input. This fast detection and recording reduce the time that consumers have to wait compared to manual entry. Additionally, errors are far less common. Humans naturally make mistakes, and when taken over larger sample sizes, this can pose as a significant disadvantage. When events like these occur, consumers are faced with unnecessary hassles and significant effort has to be made by companies to ensure that they make the correct decision. As an example, if only particular individuals were allowed into a building, a mistake during manual entry poses several problems. How does the consumer explain the mismatching information? How can the company know if a person is attempting to pose as another? Not only does this type of program reduce these mistakes, they improve upon experience. As more information passes through, machine learning allows for algorithms to accelerate processing.