A lot has been said recently about Artificial Intelligence and the ways it has already impacted businesses and ways of learning.

The recent rise of AI-driven algorithms and applications, such as personalized suggestions and social humanoid robots, has had its global implications.

Businesses using artificial intelligence can improve production, operations and customer experiences, benefiting from smart decision-making, automation, minimal errors and data analytics.

The software development industry is one that greatly benefits from AI technologies, as nearly every process can be enhanced through AI implementation.

But having artificial intelligence capable of providing good business insights, implicates continuous development. And an important aspect of this journey involves choosing the most suitable programming language  among various trending options.

Let us name a few:

  • Java 

This language, like AI, has evolved to incorporate the latest scientific and technical advancements. Java proves valuable in constructing scalable AI applications, making complex projects more manageable with its user-friendly and debug-friendly features. Enhancing user engagement is possible through image-based data representation. Additionally, developers can create a single program version that runs on multiple Java-based platforms, thanks to Java’s Virtual Machine Technology.

  • JavaScript

Like Java, JavaScript serves as an excellent choice for AI development, particularly for creating dynamic and secure websites. Its AI capabilities allow smooth interaction and integration with other source codes like HTML and CSS. JavaScript development benefits from a large development community, supported by libraries such as jQuery, React.js, and Underscore.js, making AI programming more accessible.

  • Phyton

Python stands out as a computer language with minimal code compared to others, making it a top choice for AI development. It comes equipped with prebuilt libraries for advanced computing, such as Numpy, Scipy, and Pybrain. Being an open-source language, it attracts developers globally, and support is readily available.

  • Scala

Scala is a powerful language that enables developers to write code quickly, simply and with increased efficiency. The Scaladex index provides access to Scala libraries and resources, aiding in the creation of high-quality applications. Scala’s support for the Java Virtual Machine (JVM) environment allows software developers to build intelligent applications.

  • Rust

Rust fulfils the desire for high-performance, quick and secure software development, making it a favorite among developers in creating AI applications. Its syntax resembles C++, yet it offers memory safety and avoids garbage collection. Systems like Dropbox, Yelp, Firefox, Azure, and more, use Rust extensively as their backend programming language. Due to its memory safety, speed and expressive capabilities, it can be the ideal language for AI development and scientific computing.

  • R

R has gained popularity as a preferred choice for developing statistical software, conducting data analysis and visualizing data, primarily due to its ability to handle large data sets with ease. Its extensive collection of methods for model training and evaluation makes it a favored language for machine learning projects that involve significant data processing.

While there’s a lot more to be said, researched and adapted, there’s no denying that AI processes are here to stay. And while the AI development isn’t a core operation, as a software house with dedicated teams and an agile operations framework, staying ahead on the technology front as it receives innovative and complex solutions is no news to Cleverti.
The key is to know how and when to adapt such trends, so that every development project remains fully capacitated and at its highest quality.