Is No-Code AI Really Worth The Effort?
No-code, low-code & automation The idea of “no-code” software has become increasingly popular in a variety of fields. The world of AI and Machine Learning (ML) development is no different. Platforms that attempt to make the process of developing AI and ML models more intuitive, less “code-heavy,” and more ubiquitous are gaining in popularity. The challenge of developing AI and ML models is one that screams for no-code or low-code solutions. AI failure rates are notorious – whether it’s VentureBeat reporting 87% failure rates for data science projects in 2019 or Gartner reporting in 2021 that only 53% of AI projects make it into production – even in AI-experienced organizations. While there are many challenges to successfully moving from “experiments” to “ROI” in the world of AI and ML, one of the biggest obstacles is the sheer complexity of the development process. In the world of AI and ML development, “No-Code” and “Low-Code” solutions…
