10 Tools for Modeling AI Components - Machine Learning without the code

There is a myriad of libraries, platforms and cloud-based services for Artificial Intelligence (AI). But directly programming your AI application on top of them makes your software too dependant of the specific infrastructure you chose. This is dangerous in such a fast-paced environment where new (and better) AI solutions pop up every day. How can you develop AI-enhanced software (also known as smart apps) or just pure AI components (neural networks, image recognition software, chatbots…) for a data science problem without learning each of the specific AI technologies and languages and preserving my ability to easily migrate my software over a new AI infrastructure? The solution won't surprise my readers: modeling AI comes to the rescue.