AI for business is a recurring theme in the global corporate scenario. After all, not only large and small companies are currently using it. Well, the latter is nothing more than an excellent example of artificial intelligence in customer service.
In this sense, it is essential to highlight that if not long ago, its use represented a differential; today, it is one of the dominant factors for an organization to survive in such a competitive market.
If before this theme could be considered futuristic or too much hype and was only part of the reality of science fiction movies and scientists’ theories, today, it is more accurate than ever. Artificial intelligence for business is so embedded in our daily lives that, in many cases, we are not even aware of it.
Does he doubt it? So, think about your routine a fortnight ago and reflect if you haven’t used, at least once during that time, the facial recognition technology in a banking application or even on your cell phone for it to release your access.
It is also very likely that you have contacted a company to ask questions about a product. For that, you must have come across a chatbot.
The digital transformation in business boosted the usability and need for AI, as it encouraged the use of new technologies for fundamental aspects, such as cost reduction, improved productivity, and optimization of processes related to customer service.
Artificial intelligence for business has become so necessary that even the most traditional companies are reinventing themselves, adapting and changing their cultures about it so as not to be left behind the competition. What are the types of artificial intelligence? The types of artificial intelligence are:
Limited Artificial Intelligence (ANI)
ANI is a type of artificial intelligence that is capable of recording and storing a high amount of data, as well as being able to perform complex tasks such as complicated calculations.
Some examples of ANI are programs that transcribe the text into audio, self-driving cars, recommendations from streaming platforms, and virtual assistants like Siri and Alexa.
Artificial General Intelligence (AGI)
AGI is an example of artificial intelligence known for its high ability to learn and react to certain stimuli. In theory, it mirrors the logical capacity of the human being, the intellectual, and even the emotional.
Many companies are eyeing AGI, especially startups, and thus are studying ways to develop them in their businesses. However, there is still no concrete example of this type of technology.
ASI is the artificial intelligence that raised concerns for Stephen Hawking, as is the one seen in science fiction movies. In other words, it has abilities far superior to human beings and is still based on assumptions.
Where To Apply Artificial Intelligence?
Because AI is used to increase results and optimize time, it can be used in various contexts and sectors, such as:
- In fraud prevention: banks and financial institutions often use AI to identify suspicious behavior and thus block attempts by malicious people and possible fraud;
- To improve productivity: accounting and financial companies that want to reduce their employees’ manual errors in calculations and direct their employees’ productivity to other tasks often use AI systems;
- To reduce costs: many companies adopt artificial intelligence to reduce their expenses since the systems can perform bureaucratic and repeated tasks, which reduces the need to hire employees to perform these functions.
In this sense, companies that want to offer excellent customer service also benefit from the automation provided by AI. After all, operating costs also decrease when processes and FAQs are resolved automatically.
Artificial Intelligence In Customer Service
AI in Customer Service happens through a system that automates operations. Through little robots, the so-called “chatbots” can interact with customers in various ways, such as through applications, social networks, and customer service chats.
They can make all the difference in a company’s service. This is because they enhance support agility and decrease response time.
If, for customers, an AI system can add a lot and make them happier, the same is valid for agents. Just think that robust AI software can centralize all data in a single environment, facilitating the information conference.
This makes the attendants’ work more straightforward and enhances the service experience since it becomes more personal, humanized, and agile.