Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we will delve into low-code/no-code AI, its potential, and how it can facilitate application development.
In a world that is advancing technologically, AI could be one of the greatest things the internet industry has ever witnessed. We have heard so much about AI over the past decade as it has increasingly been deployed in various sectors. AI can simplify tasks and cut down time and costs for enterprises, especially for application development. Yes, you read it right! Low-code/no-code AI can be used to develop a plethora of applications in no time. So, let’s get to know what it is.
What is low-code/no-code AI?
Low-code/no-code is a development paradigm that professional and citizen developers alike use to build mobile or web applications quickly and easily. Platforms that offer low-code or no-code development are adopted, thanks to their drag-and-drop functionality and simple UIs.
Implementing AI into low-code application platforms (LCAPs) boosts the potential and capability of all the applications built using it. For instance, integrating AI into a solution automates repetitive tasks, enables built-in chatbots, supports better decision-making for the AI, improves the speed and accuracy of processes, and more—all of which enhance the user experience. Not to mention, AI improves efficiency by significantly reducing manual efforts and errors. Research firm Gartner anticipates that, by 2024, 65% of the app development activities will be carried out using a low-code/no-code AI platform.
Here are five intriguing articles about low-code/no-code AI that will help you understand how businesses benefit from this platform and how it is expected to grow.
Today, the world is driven by technology and is slowly steering towards automation solutions. Low-code and no-code is one such category of technology that is helping businesses improve productivity and efficiency. For example, low-code and no-code platforms are being used in the BFSI sector to handle invoices and bills and settle claims. Similarly, customer-facing organizations use this solution to offer personalized customer engagement and manage automated email replies and forwards.
This does not stop here. Other departments are also trying to utilize LCAPs, as they are highly scalable, require minimal manual intervention, and improve the accuracy of task completion. Thus, low-code and no-code AI is proving to be the best bet for organizations looking to grow faster by several folds.
Low-code and no-code AI eliminates the need to write technical code and enables faster app development and delivery. There are a multitude of low-code and no-code AI tools that developers currently use to create AI applications. This blog lists the top 10 low-code and no-code AI platforms trusted and used by developers worldwide.
As LCAPs enable organizations to be more agile and develop mobile and web applications quickly, they are becoming a game-changer among professional and citizen developers. International Data Corporation (IDC) predicts low-code, no-code, and intelligent developer technologies’ (LCNCIDT) revenue will grow to $21.0 billion in 2026.
Cloud-native technologies aid in the growth of LCNCIDT, and over 75% of market revenue will be generated by cloud deployments by 2026.
AI-enhanced features, along with low-code/no-code tools, help businesses stay productive and enable a more collaborative work environment. LCAPs will become mainstream within 10 years and expand its horizons, leading to adoption in various sectors. As such, more organizations and IT teams will achieve digital transformation and experience potential business growth.
Though using a low-code/no-code platform has numerous benefits, a few developers have security concerns with their use. Cybersecurity professionals stated that these platforms lack governance on how data is being used. Likewise, other professionals do not trust the platform or know how to measure security vulnerabilities. Along with developers, a few admins also find these platforms challenging to use since many currently available platforms lack event and logging controls.
With all this said, we should consider that everything comes with its own pros and cons. IT leaders must do due diligence and consideration when implementing a LCAP in their enterprises to avoid possible security threats or risks.
Low-code/no-code solutions are an emerging field and are seen as an alternative to conventional AI technologies. Interest in it has increased among professionals as it is cost-effective, reliable, and readily available. Enterprises will start adopting this technology to stay ahead of changing times and fulfill customer needs and demands.