Low Code and Artificial Intelligence to create Intelligent Applications
Blog: AuraQuantic Blog
Combining a low-code platform and Artificial Intelligence empowers us to rapidly create intelligent applications in line with our requirements, which help us with analysis and decision making, but these are not the only advantages. This combination allows us to expand artificial intelligence (AI) use cases, allowing the most widespread AI applications to gain functionality and deliver better results.
Let’s explore the advantages of this combination in more detail.
Low code to create applications
With a low-code tool we can develop applications and simplify adaptation to change in an agile way. Applications created with these tools can be our greatest source of competitive advantage, expanding the development team, to include people who do not necessarily work in the technology department, and encourage synergistic multidisciplinary teams. This new composition of the work team naturally extends the applications that can be developed and their scope. In terms of the scope of the project, it may make sense to incorporate Artificial Intelligence into the solution in order to achieve the desired results.
Artificial intelligence for intelligent applications
As we discussed in a previous article, there are different Artificial Intelligence categories. Currently, those that are most commonly used are dedicated to solving specific problems, but don’t have the possibility of extending to general problems. Solutions of this type fall into the following categories:
Text Analysis
The objective in this case is to know the content of a written document, be it an email or any other type of document, in order to classify it or extract information from it.
Image Analysis
We can analyze images to perform a plethora of different operations, for example to extract information and label the images, compare photographs to detect defects, recognize people or objects, etc.
Chatbots
Perhaps one of the most striking uses of Artificial Intelligence are the chatbots. The most important of this type of application is that there is a wide and varied database. With this information, the Chatbot will be able to help solve the incident or notify the appropriate department or employee for them to solve it.
Intelligent Assistants
Perhaps the best known are Siri, Cortana or Alexa, as in the previous point, this type of application must have a large database to correctly perform the task for which they have been designed.
Other systems
There are many more solutions that we can include in this category, such as Machine Learning, knowledge mining, translators, and others.
Create intelligent applications
To conclude, we know that low-code software will allow us to rapidly create applications that are adapted to our needs. In addition, we can use these applications to leverage the power of AI to solve specific problems, such as image or text analysis. It is important to keep in mind that the Artificial Intelligence available today is not enough to modify business results alone, although it can help improve applications by incorporating functionalities that dynamically and quickly solve various problems. By combining both technologies we gain a wider capacity for the development of intelligent applications, which will help companies to create the applications they require and add value to the business.
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