Sagar Patidar, the Founder and Director of Primathon, comes from a small village in Madhya Pradesh. He graduated from the Indian Institute of Technology in Delhi in 2015. He is the first formally educated and academically qualified engineer from this entire agriculturally oriented family. He was in 5th grade when he left home and has been staying away from his family for more than 16 years now. He is an alumnus of JNV, Kota, and IIT Delhi. After experimenting with his interests and almost quitting his final year at IIT, he finally saw the light and rose as an entrepreneur and founded Primathon.
Technology frequently involves a systematic path. It is initially used by a small group of scientists, then it is expanded to engineers who can navigate technical jargon, and finally it is made user-friendly enough that almost anyone can use it.
Low-code/no-code platforms enable non-technologists or businesses to build AI systems from scratch, making AI more accessible to a broader range of businesses. Appsmith, Retool, Bubble, Webflow, and Appian are just a few examples of Low-code/no-code platforms.
It offers a development environment for creating application software via a graphical user interface rather than traditional hand-coded computer programming. Low-code development platforms eliminate the need for traditional hand coding, allowing for faster delivery of business applications. A common advantage is that a broader range of people, not just those with formal programming skills, can contribute to the application’s development.
There are several trends to keep an eye on, ranging from core system development to online process portals for digitising customers. Let’s take a look at a few of them.
Customer Portals on the Internet
Many businesses want to provide a consistent customer experience and add new revenue streams through web portals, but they are unable to do so because traditional web portals are slow, consume more resources, and are expensive. Low code eliminates these roadblocks and enables developers to quickly create such portals. Graphical user interfaces can also be made appealing, and the interface can be reused for multiple purposes.
Business-critical software
Throughout the application development lifecycle, Low Code uses a collaborative and quick approach to ensure that business and IT teams collaborate to lower the risk of project failure and deliver important business applications on time. Cloud-based and multi-cloud portable apps developed on low code platforms are easy to scale, highly secure, and maximise uptime through essential resilience.
When it comes to microservices,
Low-code development can help companies speed up the development of microservice applications. Companies can leverage APIs to rework large apps into low-code microservices, starting with low-risk and high-impact functions.
Apps for mobile devices
You can create lightweight mobile apps with no code that may be fully customised. The app can be integrated with a web-based interface, which allows you to access all of the web browser’s features without having to install any software. HTML, CSS, and JavaScript can be used to create the apps.
A new kind of “builder” with no code
People without strong programming expertise are increasingly designing applications for business purposes. No, code is gaining popularity as a “citizen development” method for developing small apps.
Internet of Things and Artificial Intelligence
IoT apps are difficult to develop since they process a large amount of data from beginning to endpoint devices such as sensors, communications devices, automobiles, and mobile phones. Developers may easily create mobile applications that turn large amounts of data into context-aware visuals for end users with low code. Applications can be constructed without much experience using minimal code and intelligent systems. Developers can take advantage of AI’s capability by combining it with low-code programming to create superior pictures and visual analysis.
Low-code is bringing in a completely new AI democratised technology. These tools can be used by both amateur and professional AI builders to increase AI production. To improve software development, businesses and organisations must devote more resources to developing AI models with professionals and finding better ways to implement Low Code with AI.