What is AI or artificial intelligence?

What is artificial intelligence?

Artificial intelligence (AI) is a broad branch of computer science. It’s a software system that carries out specific jobs that usually need humans. Marvin Minsky and John McCarthy are the fathers of AI technology. Such AI researchers have helped develop this field.

It stands for the artificial or machine that will replace intensive labor. It is a machine programmed to mimic a human.

It stands for human intelligence. It’s an art of building intelligence that helps machines mimic humans.

It is more than just science fiction. AI systems are a powerful technology. It improves productivity and customer experience for your MSP’s clients. Furthermore, there are narrow AI or weak AI options if your MSP wants to start small.

Currently, the quantity of data is way more than humans and machines can read, interpret, and make together. AI is the foundation for natural language processing (NLP). It also assists in complicated decision-making.

In today`s world AI has become vital for your client’s success. It gives software and bots humans capabilities such as:

Suppose we take fraud detection as an example. Banks use AI for two things.

Firstly, the initial score of applicants for credit. AI decides when a credit application is accepted or rejected. Secondly, more strong AI monitors and detects fraud card payments and transactions as they happen.

So, what can AI
actually do?

As AI is a type of intelligence, it is often used for problem-solving. Well, aside from playing chess, AI development can give your clients’:

The tasks outlined above help improve the efficiency of employees for MSPs and their clients. By helping them focus on revenue generating activities. All of this can happen in real-time with artificial intelligence. Which makes it necessary for modern businesses such as your end clients.

AI is different compared to RPA. RPA works with the staff to automate repetitive processes. In comparison, AI provides automation solutions that don’t need much human involvement. RPA tools are rule-based and deal with structured data. Whereas AI tools are data-based deals with unstructured data and uses its unique logic. For example, AI tools follow actions based on data analysis.

AI and RPA when combined together are the most successful technologies. They increase customer satisfaction and Employees’ team spirit. It also reduces Operation costs. It offers a great opportunity and demand for MSP’s to provide AI solutions

RPA and AI work together to provide your clients fully automated solutions. For instance, Banks are now fully automating opening an account using both technologies. But the result is satisfying with happier customers and more money-saving opportunities for any bank.

With AI and RPA, MSPs can automate several complicated business workflows for their clients. It is also helpful for their clients to deal with unstructured data like:

Many global industries use artificial intelligence for various processes. There are many department and services AI is helpful. Let`s look at a few of the useful areas of AI:

Wait, can’t my client’s IT department do the same?
What makes AI a game changer?

Can your client’s IT department develop and implement AI automation? Yes, If the IT department has skilled talent and experience with the tools. Most departments don’t. As it is expensive, and training might be required if the team does not know-how.

AI is relatively new and is still developing in some areas. And coupled with the fact that experienced developers are difficult to find and more expensive. Yet, the problems still need to be solved. That is why MSPs’ providing AI tools and software play a big role in effectively carrying out end-to-end automation.

Such statistics show that AI has a prominent place in the coming years. It will continue to provide greatly to the business world. Which will make work simpler and quicker than before. A few of the main advantages for your MSP’s clients include:

Additionally, AI helps in performing turing tests. A Turing test checks whether the computer can think like a human. It is a simple way to find out if a bot can have a conversation without being detected as a machine.