Artificia lintelligence or AI is already a part of everyday lives. From talking to digitalvoice assistants like Siri and Alexa to handle things for you, phrase predictions in your email and so much more. It is not like how we thought from sci-fi movies and it is accessible to anyone right now. The application of artificial intelligence in retail can also be seen with Ulta Beauty’s virtual beauty tool which was developed with low-code. Apart from this, their team also developed a guest services chatbot, curbside pickup and enabled technologies, such as AI, data connectors, and AR.
When you think of this technology, you might think of thick glassed engineers and scientists who come up with this kind of development. However, low-code and no-code have made it possible for companies of all sizes to create an app with AI faster and more flexible. We mentioned in our article - 2022 App Development Trends to Look Out For, artificial intelligence in is one of the significant trends in 2022.
Mid-2021 saw the rapid launches of no-code machine learning (ML) platforms such as Akkio, Obviously.ai, DataRobot, Levity, Clarifai, Teachable Machines, Lobe, Peltarion and Veritone. They allow anyone even non-experts to create A.I. systems via simple visual designing or drag-and-drop menus. Some of these platforms are designed specifically for computer vision, some for natural language processing, and some for both.
Most of the users are still regular engineers but it takes a huge load off their tasks. These easy-to-use machine learning platforms allow users with no AI coding experience to improve day-to-day operations and solve business problems while it lets engineers have more time and create faster results.
In the traditional sense, programmers must personalize and write every line of code. To make this, it is important that a programmer has an in-depth understanding of computer languages, development environments, deployment structures, and testing protocols, - all of which need to be learned overtime or maybe years. With no-code/low-code, professional and non-professional users can visually select and connect reusable components to develop a desired computerized program workflow.
Since no-code relies on a visual integrated development environment, they frequently employ a model-driven development technique, in which a software model is used to sketch out how the software system should function before any coding begins. Thissoftware can be tested with model-based testing or MBT before it is launched.
Experts are seeing exciting times ahead of no-code especially with AI. Some of the no-code agency out there have started to offer this service already since they know the value it offers.
No need for high maintenance since it is drag and drop and can be easily understood.
With machine learning, you can create products that can serve personalization, efficiency and curation which customers are beginning to appreciate. Machine-based learning personalization provides a more scalable way to deliver the kinds of unique experiences your customers and prospective customers expect.
Engineers and decision-makers can collaborate better as the tool becomes easily understandable for everyone. The old process is usually prone to human error and can take up a lot of time.
With a less complicated playground to work on, output becomes relatively more practically priced than traditional coding.
One of the main disadvantages of no-code/low-code AI development is the limited option for customization and data security.
Tailor-fitting is a challenge since there are limited options and capabilities right now. For security, since your software is written in a platform, it might be at risk if the platform is compromised.
While it is a growing movement, there is still a lot of room to improve and expand. However, there is a promising future of no-code and low-code where we can see the upgrades anytime soon.
As you cansee, the no-code on AI promises a high-tech future that can serve people better in another level. It promises a futurewhere A.I. is more accessible for everyone and where ideas can come to life. Most importantly, no-code machine learning allows your business to be more creative and it’s not limited to one set of people only. Everyone can now utilize AI with no-code.