Traditional programming has been around for years, but there is a programming method that is revolutionizing businesses particularly in the area of machine learning, and that is no-code application development.
With increasing demand in mobile applications, traditional methods of application development are being considered both expensive and time-consuming. To meet today’s business requirements, companies are looking for a high-end, no-code platform for machine learning to create and deploy applications quickly and efficiently.
In this blog, we will compare the two application development methods: no-code development platforms and traditional coding, which will be useful for product managers in various industries. So, here’s a closer comparison of the no-code machine learning platform vs. traditional coding.
Table of Contents
What are no-code platforms for Machine Learning?
No-code platforms for machine learning do not require actual programming languages to create applications. Everything that the user needs to build in an app is already built into the tool. An example of this could be popular blogging platforms or e-commerce websites that have pre-built pages that can be used to create a blog or business website in minutes.
With no-code, product managers and business analysts have the power to move quickly and more economically. It is a simpler route for people looking to make machine learning applications without putting in a lot of technical skills to use. Here, the technical approach to machine learning is challenged with a more accessible form of machine learning, which lowers the barrier for entry in AI/ML.
Built with one thing in mind: agility, the no-code platform for machine learning provides a competitive advantage for companies. It can get the apps up and running much quicker than if you were to use traditional coding.
What is Traditional Programming?
Any manually created program that uses input data to produce output on a computer is the traditional programming. It is the process where a developer creates a program by manually formulating or coding the rules. In other words, you hard code the behavior of the program. The developer codes a program which uses the input data and runs it on a computer to produce the intended output.
Application development with traditional coding
To build an application by writing code, the targeted platform is first decided. For example, it may be Windows, LINUX, or iOS. The relevant language supported on each platform is then selected, for example, C# on Windows. You then start writing and compiling the code before deploying it on the server. The dependencies are the version of the .Net Framework that you had targeted with your code. Since the .Net Framework is periodically upgraded by Microsoft, you would require refactoring and recompiling your code for proper maintenance. Now when the app is upgraded to the latest version of the .Net Framework, the user is going to see no additional value as no new functionality has been added to the app.
Custom code is required to be maintained over time as otherwise in a few years it will be termed as legacy code, as it is built on an old framework and will not follow new best practices. If the business keeps on delaying an upgrade due to no incremental value in functionality, when they do wish for additional features in the application, the code will have to be edited to add the functionality. The code will have to be recompiled before deploying the updated application, which is an expensive and time-consuming process.
Application development through no-code
No-code development has basic differences from traditional coding, in the way an application is developed and deployed. True no-code platforms are 100% metadata (data that describes data) driven, which means all applications created by a developer are maintained as Metadata. To provide the app interface to the end-user, when the application runs, the metadata is interpreted.
The advantage of this architecture is that when new versions of App Browser are released and upgraded, the functionalities created using the past platform continues to work. Therefore, the functionalities created using no-code platforms carry on working with future versions. An example of this could be Microsoft Excel, as with every new release, the earlier version of the Excel file continues to work.
Advantages of creating applications using no-code
1. Internal resource optimization
The no-code platform for machine learning enables companies to work with a lack of internal IT skills or resources. Companies should either hire skilled developers or outsource them which is costly and leads to issues such as time sink. Using the no-code platform any citizen developer with basic technical skills can create applications, based on the company requirement, without any additional resources or costs.
2. Quick response to fluctuations
Business requirements keep changing resulting in developers to change coding midway. This becomes difficult with traditional coding. No-code platforms make it easier to make such changes or enhance functionalities as per the changing requirements. The development process gets streamlined and it enables quicker time-to-market. It is easier to make immediate changes, leading to better experiences for the user.
3. Faster delivery of applications
The most important benefit of no-code platforms is their ability to develop applications faster than traditional coding methods. The development time is reduced significantly as developers don’t have to manually write or hand-code every line of code.
4. Reduced Total cost of ownership (TCO)
The development time and efforts are reduced with no-code platforms resulting in reduced cost of ownership. This is a cost-effective substitute for traditional methods of coding as it keeps up with digital innovation demands and reduces the burden on the organization. No-code machine learning platform allows you to do the same things but without the requirement of similar technical skills from data scientists.
The benefits of building applications using no-code are many, as it offers opportunities to automate and optimize business processes by conveniently building applications at an enterprise level.
To meet today’s demand for app development, Skyl.ai offers an easy-to-use, no-code platform for machine learning, which helps build and deploy models faster and more economically.
To see how easy it can be to develop machine learning models using Skyl.ai, try out our zero code machine learning platform.