A low code platform can help enterprises rationalize their application portfolio by preventing the introduction of multiple-point solutions. A good low code platform offers various capabilities in a unified manner to that goal, such as workflows, content management, mobile application development, collaboration, business rules, RPA, AI/ML, and so on. Another great advantage of a low code platform is to obviate shadow IT through central governance and visibility. A standard modeling environment of low code promotes IT governance by dealing with data, process, and security vulnerabilities.

Is your machine learning project being sped up by your data scientist team? Or would you rather spend more time experimenting with various machine learning techniques and less time maintaining and debugging code? Or are you thinking about incorporating machine learning into your business operations but don't have the funds to hire a swarm of data scientists and engineers? Then, you may be ready to explore low code machine learning systems for your next project. Traditional machine learning model creation and deployment are complicated, time-consuming, and costly, necessitating the hiring of hard-to-find ML experts.

For developers, data scientists, and business analysts looking to improve the outcome of their machine learning projects, let's look at how low code platforms are playing a big role in meeting their needs and speeding up ML projects. Is your data scientist team looking to speed up your machine learning projects? Or spend more time experimenting with different ML algorithms and less time maintaining or debugging code? Or, are you considering integrating ML into your business processes yet don't have the resources to hire a slew of data scientists and engineers? Then, you may be ready to consider low code machine learning platforms for your next project.

As the industry moves towards no-code artificial intelligence model training platforms, AI is being positioned as a tool for the masses. It, therefore, comes as no surprise to find that the industry bellwethers are releasing no-code or low-code platforms to build custom machine learning models that can be used with ease and security. Joining the big tech giants is China's internet major Baidu that launched an AI platform designed to make building custom ML models easier and it rules out the need for algorithmic programming. Known as EZDL, the service platform enables developers to build custom ML models with a drag-and-drop interface, Yongkang Xie, tech lead of Baidu EZDL, said in a company statement. He further emphasised developers can build deep learning models which are specific to their business needs only in four steps.