New no-code challenge AI

The process of building and deploying artificial intelligence (AI) can be long and expensive. It leads organizations to spending an average of around $40 million a year on AI, while relatively few projects make it into production. Such Automated Machine Learning tools (AutoML) as Microsoft Azure can be a powerful way for technical AI professionals to speed up their workflows. Though, they are expensive, time-consuming, inaccessible to non- technical people and difficult to deploy and maintain. Let's explore these points in-depth to see why no-code AI platforms can be more efficient than traditional AI tools.