Low Code and No code solutions are one of many suggested ways to reduce the company’s reliance on skilled people to create and run programs. Low Code solutions are software development platforms that require little or no coding to build applications and processes.
Low code and No-Code tools are converging these days. A couple of years ago low code was sim
AI is a high-tech niche in the software industry that performs tasks without human intervention, but developing AI platforms requires lots of coding with a higher degree of accuracy. In this case, companies planning to adopt AI can easily accept low code. Low code allows non-technical experts in coding to develop AI platforms efficiently.
Low-Code/No Code Trends in 2021
From core system development to online process portals for digitizing customers, there are several trends of low code. Glimpse of some are:
- Web based Customer Portals: Low code allows developers to develop web based portals quickly. Graphical UI can also be made appealing, additionally, the interface can be reused for different purposes.
- In IoT: IoT apps are complex to build as they process lots of data from start to endpoint devices like sensors, communications devices, cars, mobile, etc. With low code, developers can seamlessly build such mobile applications which convert huge data into context-aware visuals for end users.
- In AI: With low code intelligent systems, applications can be built without much expertise. Developers can leverage the power of AI by clubbing it with low code development for building enhanced image & visual analysis.
- Request & Approval App: Low Code provides professional and commercial developers with fast and flexible collaboration tools for digitizing the end-to-end capital application and approval process on a single platform.
How Low Code is Democratizing AI?
Artificial intelligence development is traditionally associated with advanced technical skills, professional training in software development. Lowcode is democratizing AI product development by providing simple, intuitive and easy-to-use solutions. Providing building blocks for developing AI solutions, users can create applications in short duration using GUI and configuration instead of hand-written code.
Some ways, Low Code and democratization of AI are related:
- In Data Science: Open-Source tools are very useful for machine learning beginners who have no programming experience. Low Code/ No Code allows you to train the model in a shorter amount of time, with just a few lines of code, without the need for in-depth knowledge of machine learning algorithms.
- Low Code AI in Process Automation: For maintaining error-free workflow the businesses need to upgrade with demands, so low code provides a flexible solution in speed.
- Text Analysis: AI text analysis is the process of extracting information from a large amount of text data. The program uses natural language processing to understand and interpret data. Organizations use the program to greatly automate the process of understanding user feedback and comments, enabling the team to make data-driven decisions.
Future of Low Code AI
Building an AI platform with little or no code makes it easier for market leaders to establish themselves as a central AI ecosystem and form alliances to expand use cases and deployments, and raise the popularity of the brand. It can also help companies attract programmers or end users to create their own models.
Although companies and decision-makers in the corporate world believe in the bright future of artificial intelligence and the power of this technology, many of them still cannot start adopting artificial intelligence. The main reasons are cost and lack of highly qualified experts.
Low-code is ushering AI democratization. Enterprises and organizations must put more energy towards developing AI models with professionals and find better ways to implement Low Code with AI to enhance software development.
To know more on Low Code/ No Code trends and how they are democratizing AI, visit this blog.
