Over the past several years artificial intelligence has been making tremendous strides with businesses of all sizes keen to adopt it for competitive advantage. However, they face several challenges incorporating the technology in their ecosystems which may include lack of budget or talent available for hiring. No-code AI is one of the interesting emerging technologies trends for 2023 as it seeks to democratize AI and make it widely available by bringing down the cost that accompanied traditional AI.
What is Low-code No-code Development?
The low-code no-code development approach is another emerging tech of 2023, and platforms offering low-code no-code capabilities are seeing increasing demand by businesses. No-code development platforms empower users to build and deploy applications using visual, drag-and-drop interfaces and pre-built templates without writing any code. Low-code platforms offer a hybrid environment of visual development and coding by providing visual interfaces and pre-built templates for common tasks but also allowing users to write code when required. The aim for both low-code and no-code platforms is to increase productivity of developers and empower non-technical users to participate in the software development process.
What is No-code AI?
No-code AI, also referred to as codeless AI, aims to make AI accessible to everyone. It utilizes a visual, non-technical platform with a drag-and-drop interface, allowing users to deploy AI and machine learning models without requiring users to write code. There are numerous tools available that offer no-code AI functionality, including dedicated tools and automation software with integrated AI capabilities in a no-code interface. By utilizing no-code AI, non-technical users can quickly analyze data, classify information, and build accurate production models with ease.
Advantages of No-code AI
No-code AI offers numerous benefits to businesses. Some of these include:
Cost Effectiveness
Many businesses may not have the budget for the required number of data scientists needed to make AI models that suit the purpose. With no-code platforms, Business users who have a greater understanding of business requirements can build AI models with the intuitive drag-and-drop interfaces without relying on data scientists. While data scientists would still be an integral part of AI initiatives, empowering non-technical business users can lower the cost the company has to incur in the AI initiatives.
Increase Data Scientist's Efficiency
As business users are enabled to develop basic AI models without requiring the technical expertise from existing data science teams in the company, they can now focus on more meaningful tasks that require their expertise. This could include analyzing the results and using that information to make more informed business decisions. Furthermore, the visual and intuitive interfaces provided by no-code AI platforms can help data scientists work faster as there is no requirement for coding. No-code AI platforms can help data scientists be more efficient by freeing up their time and allowing them to focus on high value work.
Increase Speed
Developing an AI solution includes multiple steps such as coding, data cleaning, categorization, structuring, training, and debugging the model which can be especially time-consuming. According to research, using low-code/no-code solutions have the potential to significantly decrease the development time by up to 90%
Business Empowerment
Data science is a relatively new discipline, and many of the data scientists are younger and lack the business experience of the domain specialists. At the same time, business users with in-depth knowledge of their domain lack the technical skills and experience to leverage AI for solving their problems. No-code AI platforms bridge this gap by providing visual and easy to use interfaces to business users for building AI solutions by leveraging their domain-specific experience.
Summary
While no-code AI is still an emerging technology, it is gradually changing the way we think about AI as it aims at making building AI solutions accessible to a much wider range of people. By democratizing the development of AI models and solutions, no-code AI platforms have the potential to transform how businesses prioritize AI. No-code AI is an exciting trend of 2023 that needs to be followed closely.
