Artificial Intelligence IT Services

ALTSHIFT offers experienced Artificial Intelligence software developers with remote and full-time engagement to their clients as IT services. 

Artificial intelligence (AI) is an essential element of many software development projects that allows developers to create software that can perceive, learn, reason, and solve problems — much in the way a human mind operates. Learning how to apply artificial intelligence is critical for many job roles, especially for those interested in pursuing a career in programming. We offer software engineers with Python, Java, C++, Javascript, Julia, and LISP programming languages knowledge. 

Python is a powerful tool for data analysis, making it key for AI development. Coders and data analysts love Python for its flexibility, intuitive design, and versatility. While it’s designed to address complex tasks, it is a language that is considered easy to learn and apply to your projects.Many Python libraries were designed to classify and analyze large data sets, which makes it a valuable language in both AI and machine learning. 

Java is a popular programming language that offers AI developers a wide range of benefits, including easy debugging, usability, and maintainability. It has a built-in garbage collector that automatically deletes useless data and facilitates visualization. It also features Swing, a GUI widget toolkit; and Standard Widget Toolkit (SWI), a graphical widget toolkit. Java is also cross-platform, which allows for AI-focused projects to be deployed across many types of devices 

C++ isn’t always the first choice for AI-focused applications, but it’s so widely used throughout the industry that it’s worth mentioning. This language runs and executes very efficiently, but the trade-off is that it’s more complex to write. This makes C++ a great choice for resource-intensive applications, where it is occasionally used in combination with other languages to build AI-focused applications. 

Why is JavaScript a good fit for artificial intelligence? It has multiple high-level tools and libraries for machine learning. A good example is TensorFlow.js, which runs directly within the browser and opens up many possibilities for web developers. Building your knowledge of browser-based AI applications can help you build next-generation AI-focused browser tools. 

The artificial intelligence applications for Julia continue to grow over time. Flux is a major machine learning and AI stack written for Julia. Some of the features that make Julia great for AI programming include a built-in package manager and support for parallel and distributed computing. Julia is especially helpful for scientific computing and data analysis. The language supports parallelism, a type of computing where many different processes are carried out simultaneously. 

Some developers love using LISP because it’s fast and allows for rapid prototyping and development. LISP and AI go way back — it was developed in the 1950s as a research platform for AI, making it highly suited for effectively processing symbolic information.LISP is an excellent prototyping tool that’s a great fit for solving problems that you don’t yet know how to solve. 

For more information and offer please contact us at altshift@altshift.hu