"Computers take over the world", "Virtual mind steals workplaces"... Artificial intelligence is not yet a fully understandable technology, and therefore it gives rise to a lot of myths and speculations. So, before implementing AI in your business (or even evaluating its capabilities), you should figure out the truth yourself.
Myth #1: AI can entirely replace a staff member
Reality: Artificial intelligence may seem like a smart program, but don't forget that any program is always controlled by a human being.
Artificial intelligence is capable of reproducing the way we think to some extent. Neural networks operate on the same principle as the human brain. But even one of the most powerful supercomputers on Earth takes 40 minutes to reproduce a second of human brain activity.
AI can be trained to perform an action, can – indeed – do it faster than a human being. But it can't work independently: change the conditions of the task, and the computer will fail.
Myth #2: AI only works well with routine actions.
Reality: Carefully trained, it will help solve more complex problems.
Artificial intelligence is not only suitable for automation of monotonous actions. The ability to predict and classify allows it to act as an assistant to company's employees. Having analyzed a large block of data, the AI will be able to evaluate the situation and offer solutions that a person cannot see due to less experience. A typical example is a hybrid contact center where artificial intelligence offers an operator a more accurate answer based on the case from the practice of his or her colleague.
Myth #3: Chat bots are the simplest form of AI.
Reality: not every one of them and not always.
A basic chat bot has no intelligence: it is a program that identifies keywords in the text and sends pre-prepared answers when they are detected. At the same time, a chat bot can function on the basis of artificial intelligence. But for this purpose it must have natural speech recognition technologies. So only those bots that can process human speech, analyze the tonality of the text, respond according to these data and use the methods of machine learning can classify as artificial intelligence. However, such a bot can hardly be called simple.
Myth #4: Training AI requires exceptionally large amounts of data.
Reality: Not necessarily. Huge amount of initial data is required in two cases:
at the first stages of training, when artificial intelligence is not yet able to do anything;
when you want to teach AI how to perform complex actions, such as driving a car.
If you want to adapt an existing AI to your needs, there is no need for giant databases. Companies implementing artificial intelligence pre-train neural networks before they integrate them with your systems. So all you have to do is adjust general AI knowledge to the specifics of your business.
Myth #5: My company does not need to use AI-technologies.
Reality: Even if this is the case, the decision must be informed and based on the study of the market and the possibilities of AI in your field.
By unjustifiably refusing to use AI, you can put your business at a competitive disadvantage. The rapid development of technology leads to ever increasing automation, and AI comes in handy as a way of optimizing processes within a company.
An effective and simple solution is to add artificial intelligence to the processing of client’s requests. Implementing new technologies might require significant investment, but AI-supported automation saves costs, strengthens customer loyalty – and therefore, drives sales growth. Use Chat2Desk to connect artificial intelligence to messengers – text us via the widget.