How to use low-code to enable machine learning

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Can low-code enable machine learning? Certainly. In fact, it’s an excellent method for simplifying and accelerating the use of machine learning–and enabling developers without data science backgrounds to build software powered by machine learning. In this blog, I make the case for using low-code to develop machine learning apps. By Forsyth Alexander.

This blog post then delves into:

  • Understanding low-code and machine learning
  • How low-code and machine learning can accelerate innovation
  • Enabling machine learning in app development with outOutSystems

For most organizations, the challenges of application development are well-known. Building enterprise applications is hard, there are too few developers, and the business environment changes faster than the software and systems can handle. By enabling machine learning with low-code AI, your company can change the way it delivers enterprise applications.

Low-code is revolutionizing the way businesses innovate and use AI and ML capabilities. By combining the speed and simplicity of low-code development with the intelligence of machine learning, you can create cutting-edge applications that meet customer expectations and stay ahead of the competition. Good read!

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Tags robotics cio miscellaneous machine-learning