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How to Use and Integrate Artificial Intelligence?

How to Use and Integrate Artificial Intelligence?

Artificial Intelligence (AI) has become an increasingly popular and widely used technology in many fields, from medicine to finance, logistics to manufacturing. But how can a company integrate this technology into its processes?

For those who may not know, artificial intelligence is a set of technologies and algorithms that allow a system to process data and make decisions autonomously, without human intervention.

There are different AI techniques, such as machine learning, deep learning, computer vision, and natural language processing, each of which is suitable for different types of problems.

Next, we will analyze the various options for integrating artificial intelligence into a company, along with their advantages and disadvantages.

Custom Implementations Provided by Development Teams

If a company has a development team to rely on, it can decide to create a custom AI solution tailored to its needs.

If your reference development team is not competent in AI, here is our guide on how to choose the right development team.

Technically speaking, there are two main ways to do this: using API interfaces or local programs.

Using API Interfaces

API interfaces (Application Programming Interfaces) are one of the most common ways to integrate artificial intelligence into existing applications. APIs are a set of tools and protocols that allow two applications to communicate with each other.

By using APIs, applications can exchange information and functionality, including artificial intelligence services. They are generally used to connect and use on-demand external services.

For example, a company could use a speech recognition API from an artificial intelligence service to create a virtual assistant that answers customer questions.

Another company could use a data analysis API to analyze large amounts of information and provide personalized recommendations to its customers.

It is important to note that APIs are a simple and fast way to integrate artificial intelligence, but they are not suitable for all types of problems. Here are the advantages and disadvantages.


  • No need for specific hardware, any computer or even a mobile device can integrate.
  • Can be used on-demand.
  • Reduced implementation and service costs, as there is no need to manage entire models, but rather rely on what is provided.
  • The work done is flexible and portable to other projects or ecosystems, due to the independent nature of APIs.


  • Data resides on third-party servers.
  • The process of improving and optimizing the model is very complex or impossible.
  • The availability of the service depends solely on the provider, who may close or have issues.

After evaluating the advantages and disadvantages, one can decide whether to use this type of implementation. It is worth mentioning that the company that is currently advancing in the field of artificial intelligence, OpenAI, provides this type of service, and here you can see the specific information.

Local Implementation

Artificial intelligence can be integrated either through the use of cloud services or by installing programs locally.

Regarding the local implementation of artificial intelligence, it is important to consider some fundamental aspects.

  • Choose a program that is compatible with your operating system and can easily integrate with the applications already in use.
  • Ensure that your hardware is capable of handling large amounts of data and processing complex information in real-time.

Once the right program is chosen, it is important to dedicate the necessary time for its configuration and for training the algorithms, so that artificial intelligence can provide accurate and reliable results.

Again, it is crucial to evaluate all the advantages and disadvantages.


  • Complete control over systems and sensitive data.
  • Fast and accurate results without depending on external cloud services.
  • Suitable for companies that handle large amounts of sensitive data.


  • Requires advanced technical knowledge and careful planning.
  • Costs of hardware and availability of qualified personnel to consider.
  • Potential processing capacity limitations compared to external cloud services.
  • Possibility of having a less flexible and portable system compared to cloud services.

But which solution is right for your company? Contact Colibryx. We are experts in the development and implementation of both options and can help you choose the right one for your needs.

Using Automation Software

Another option for AI integration is to use automation software such as Zapier, Make, or Pabbly. These platforms are based on a no-code architecture and therefore do not require highly qualified teams for implementation.

These tools allow you to automate business processes in a simple and intuitive way.

In short, these platforms allow you to connect different applications together, creating automated workflows.

In automation, each block represents a specific action, such as sending an email, creating an event in a calendar, or adding a contact to a list. These blocks can be connected to each other, creating customized workflows tailored to the needs of your business.

Thanks to the wide range of supported AI applications, it is possible to integrate artificial intelligence into automation workflows as well.

Please note that these platforms may seem very convenient as they do not require specific development teams, but they do require payment for various subscriptions and do not offer the possibility of customizing solutions.

Improve Your Business with Artificial Intelligence

Artificial Intelligence is a technology that offers many opportunities to improve your business. However, it is crucial to understand how to use it effectively to maximize its benefits.

With our expertise, we will provide you with a free quote to evaluate the best way to implement this system in your business.

(Click here to read our complete guide on artificial intelligence for businesses)