AI Adopting Human CreativityBy CIOApplications Europe
The modern science and technology have moved far beyond, without the need for the assistance of human beings in several processes today. The evolution of computing capacity increases in speed over time and decreases in cost. Since computers already operate at a faster speed than the brain, they soon will compete or exceed the brain in their capacity to store and process information. Thus, there is a mutual dependence between humans and machines for all the processes.
Artificial intelligence can act as a companion to lead a business with its advanced deep learning neural network. The dependence between AI and a human is portrayed as deep learning neural systems. AI acquires data from people, which means that those who create the data must determine which kind of information will be developed during the career of these neural networks. The system of artificial network usage is called supervised learning which becomes more useful and intelligent day-by-day.
Incorporated by machine learning algorithms, chatbots are effectively smart software that try to impersonate human conversation both in spoken and written replies to queries. Chatbots are typically deployed in customer services forms, generally as online assistants for e-commerce shopping sites. In the area of technology, chatbots have rapid growth, and its capabilities are becoming more and more intelligent. However, these bots must be trained by a human with complete information. It is clear from this fact that AI cannot work by itself.
AI can help to find the fraudulent activity extremely fast, often within seconds. This allows for the crime to be stopped or spotted immediately. However, humans play a key role here because the fraudsters might be doing something different from what the artificial intelligence bot has learned. So, the human analysts are required to detect such type of potential frauds.
AI can act as a substitute for human beings in case it has the ability to assess the raw data by itself to identify the patterns. However, it is difficult to predict AI because of the potential of its scalability is likely beyond one’s control to predict.