AI technology is attracting a lot of attention as shown by its market growth year over year. A study by Gartner predicts that the value of the AI software market will reach $62 billion dollars by the end of 2022. If these numbers prove true, then we’ll be looking at an impressive 21.3% rise from the market’s value in 2021.
Without a doubt, the rise of no-code AI software significantly contributes to this growth. In this article, we’re going to talk about how no-code solutions are turning AI into accessible technology – one that can be used by a non-developer community. We’ll also discuss the top advantages of code-free AI solutions, and how they’re contributing to the democratization of technology.
Let’s dig in!
AI can be for everyone
Back in the 1990s, if you wanted to use an AI solution, not only did you need a tech team that would implement it, but also a significant amount of time and money. These factors made Artificial Intelligence an elitist solution, limited to big tech firms with huge budgets.
Luckily, times have changed, and now even small companies can benefit from this technology thanks to the introduction of no-code AI. Due to the democratization of AI, SMEs and startups with less tech know-how are no longer left in the dust by corporations. Among others, they can use it to improve their processes and gather and analyze customer insights – all for the purpose of gaining a competitive advantage and speeding up business growth.
But what is no-code AI, exactly, and how does it contribute to the democratization of technology? Let’s see below.
What is no-code AI?
Before we go into the advantages of using no-code AI, let’s discuss what it is.
No-code AI is a technology that allows people of all levels of tech expertise to leverage the power of Artificial Intelligence. In essence, by using a no-code solution, organizations can try out their ideas without having to engage programmers and AI specialists.
No-code AI can be looked at as a landscape of tools that help people build applications and systems on their own. It’s a cost-efficient way for the average human or company to implement a new system.
No-code solutions are usually user-guided. This means that, when you first use the platform, there is either a virtual onboarding walkthrough (a video and/or pop-up instructions on the interface) or a representative of the software company provides you with a guided tour to explain all the features.
Does this mean that no-code AI can be useful for non-technical people only? Quite the contrary! That’s where the ‘democratization’ aspect lies – they’ll be a great fit for both tech-savvy users and members of non-technical teams.
Below, we discuss some of the major advantages of no-code AI solutions along with relevant examples.
How does no-code make AI more accessible?
There are many ways in which no-code AI can prove beneficial to people and businesses. From its ease of use to its versatility of applications to its constant adaptability to the user’s demands.
Ease of use
The biggest advantage of no-code AI software is that it doesn’t require any coding skills. It allows you to test your ideas without needing any AI experts; automation is done through plug and play and drag and drop mechanisms.
The software is basically ready to use the moment you get your hands on it. Naturally, some solutions are more complex than others. And you might need different skills to handle it, but overall they’re much easier to implement than traditional AI making it a very accessible technology.
Runway is one example of such a tool, let’s take a closer look at it.
Runway is a no-code AI software targeted at creators and creatives offering features like green screen, video editing, and inpainting. Some of the tasks that the platform can perform include: creating synthetic images and videos, background and object removal, audio cleaning, and many more. Everything is performed from a single dashboard. Runway streamlines the whole video editing process making it accessible to everyone irrespective of their skill level.
Another example of a no-code AI platform’s ease of use is Levity’s drag-and-drop interface. You can train your AI Block in a few simple steps while being guided on-screen about which steps to take in order to train your model in the most effective way possible.
Faster improvements
Until recently (that is, prior to the rise of no-code platforms), whenever a company wanted to improve their product or offering through AI, they came across a major challenge – a lack of technical expertise. The costs and time it would take to bring on experts who could build and/or manage a code-based solution were significant.
Accessible technology such as no-code platforms is a true game-changer, as organizations can improve their business with AI without hiring AI specialists. Using such a platform will prove beneficial even if a company does have a tech team on board, as they will be able to focus on more relevant tasks rather than setting up the tool.
All this contributes to higher productivity and better time management.
Levity is a great example of how no-code AI can help optimize your work in a scalable way, leading to a more iterative, productive workflow. To give you a sense of how it can help your software team in particular, here are two popular automation use cases:
Categorizing crash reports
Levity can automatically tag crash reports, which are a critical source of information when it comes to software performance. Depending on your needs, you can set it to mark reports by topic, source of error, and even the exact team member who needs to be alerted. This could be, for instance, a developer, an external partner, or your product manager.
Analyzing customer messages and text responses to surveys
Levity can help you sift through the hundreds (or thousands) of messages you receive daily and find those that relate to the product’s or website’s performance. This is possible thanks to the software’s advanced NLP capabilities. For example, if a user has reported an issue with your checkout or the product, the message could be tagged with ‘checkout error’ or ‘product issue’. Thanks to this, you don’t need a member of your support or tech team to scan messages for tech-related phrases.
