A complete guide to low-code and no-code AI platforms

With the rise of digital transformation and advancements in machine learning (ML), an increasing number of businesses start incorporating artificial intelligence (AI) into their workflow. In research by Deloitte, a considerable number of responders said that cognitive technologies are either "important" or "very important" to both service offerings and internal business processes. Apparently, these companies feel that using AI is central to their ability to develop their businesses and get ahead of their competition. And because the demand for integrative AI is only growing, platforms suggesting no-code or low-code AI development grow in their number as well. This article will define the terms "low-code" and "no-code", will discuss the advantages and disadvantages of this technology, and introduce a list of low-code/no-code platforms for AI and computer vision.