Enterprise developers tend to use Java in all projects, including machine learning. The company directive in this case is also evident from the third factor that is strongly correlated to language prioritisation — the reason to get into machine learning. Java is prioritised the most (27%) by developers who got into machine learning because their boss or company asked them to. It is the least preferred (14%) by those who got into the field just because they were curious to see what all the fuss was about — Java is not a language that you normally learn just for fun! One of the greatest AI computer systems – Watson, was created by IBM and is packed with tools for both developers and business users.

The 10 Best Examples Of Low-Code And No-Code AI – Forbes

The 10 Best Examples Of Low-Code And No-Code AI.

Posted: Mon, 12 Dec 2022 08:00:00 GMT [source]

Despite its flaws, Lisp is still in use and worth looking into for what it can offer your AI projects. Another perk to keep in mind is the Scaladex, an index containing any available Scala libraries and their resources. Artificial intelligence is difficult enough, so a tool that makes your coding life easier is invaluable, saving you time, money, and patience.

C++ Programming Language

For example, C++ could be used to code high-performance routines, and Java could be used for more production-grade software development. It offers extensive graphical facilities for data analysis and display, either directly at the computer or on hardcopy devices — including interactive web-based interfaces such as Shiny. Although Lisp programming language is the second oldest language after Fortran, it is still being used because of its crucial features. The inventor of LISP programming was John McCarthy, who coined the term Artificial Intelligence.