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Democratizing AI With Low-Code: Building Intelligent Applications for All

Blog: Zvolv Blog

Imagine AI not being locked away for data scientists and engineers. That’s the idea behind democratizing AI, making it something anyone can use. 

Low-code platforms are turning this concept into a reality. Before we dive into how that’s happening, let’s understand what democratizing AI means. 

AI used to be super complicated. You practically needed a Ph.D. in computer science to even look at it sideways. But now, with low-code platforms, things are changing. These platforms allow users to build applications and access complex technologies such as AI through interactive user interfaces rather than traditional coding methods. They decrease time to market and backlogs, letting businesses realize value sooner at less cost.  

It is no surprise that the global low-code platform market revenue is expected to reach around US$ 32 billion in 2024.  

How Are Low-code Platforms Democratizing AI 

By simplifying the AI development process, low-code platforms have made advanced technology more accessible to a wider range of users and industries. Here’s how low-code platforms are democratizing AI:  

  1. Breaking down technical barriers: Traditionally, AI development required expertise in complex coding languages. Low-code platforms use drag-and-drop interfaces, pre-built components, and visual tools that allow people without a programming background to build and implement AI-powered applications. 
  1. Empowering citizen developers: These platforms democratize AI by enabling “citizen developers” within businesses to take charge. Citizen developers are business users who can leverage the platform’s intuitive interface to create solutions specific to their needs. This frees up IT teams to focus on more complex tasks. 
  1. Making AI Accessible Across Industries: Whether a small business is trying to personalize its customer service with a chatbot or a large manufacturer is looking to optimize production with AI-powered predictive maintenance, low-code/no-code platforms lower the barrier to entry.  

Low-code platforms have undoubtedly made significant strides in democratizing AI, but they alone are not enough in the era of generative AI. Unlike traditional AI, generative models go beyond understanding inputs. They can generate data across various media formats, such as text, code, images, audio, video, and more. 

Because of this, its adoption and market have skyrocketed, with Bloomberg predicting the market to reach 1.3 billion by 2032. The number of companies that use SaaS LLM APIs have also increased by a staggering 1310% between November 2022 and May 2023. 

So, instead of juggling low-code platforms and separate generative AI tools, why not try Zvolv’s Generative AI orchestrator, Z-Wall, which brings the power of generative AI to your existing infrastructure? By combining low-code platforms with generative AI capabilities, Zvolv allows you to unlock even greater potential and drive innovation.  

For example, with Z-Wall, you can  

Build apps faster: Think about your app-building process. If you don’t use a low-code platform, chances are you will have to request a developer to do it for you. And that’s a lot of work—from meticulously designing forms and workflows to testing and validating.  

However, that’s not the case with Z-Wall.  

Z-Wall reduces development time by creating the app for you. All you need to do is bank on “prompt engineering”—just describe the required functionalities, and it will understand your needs and build out the forms and workflows intelligently. 

Get intuitive knowledge access: No more toiling over tons of data and reports. Do you need to know which of your email marketing campaigns managed to pull off the highest open rate? 

Just ask Z-Wall, and it will retrieve the details quickly and even provide the particular email template that got the highest opens during a specific campaign. Similarly, if you are in finance, you can ask it to pull the expenses against the budget data and get the information needed to develop better budget control and planning. 

Why use Low-Code Generative AI Platforms? 

Low-code generative AI platforms offer a unique blend of accessibility and advanced capabilities, making them an attractive choice for organizations looking to streamline operations and drive innovation. Here are some advantages of using low-code generative AI platforms: 

  1. Quick information retrieval: By getting answers to your questions from the bot, you not only get quick access to information but also save time for yourself and your colleagues. 
  1. Eliminates data entry: Process vital information faster by automatically extracting data from invoices or contracts. No more manual data entry and delays. 
  1. Conversational interfaces: Most low-code generative AI platforms, like Z-Wall, have conversational interfaces, so you can ask your question using natural language, just as you would normally ask your colleague.  
  1. Automate workflow: Unlike traditional AI, generative AI can understand the intent of the prompt and is capable of automating the entire workflow. 
  1. Continuous learning: Low-code generative AI platforms enable businesses to continuously improve their AI models by incorporating new data and feedback, ensuring that they remain accurate and relevant over time. 
  1. Get It Done (GID): Low-code generative AI platforms also eliminate repetitive workflows and activities like form filling. GID understands your natural language instructions. For example, if you need to submit an IT ticket for a software issue, just tell the software like you would normally talk to a person, and it will automate the entire process.   

In conclusion, low-code platforms have significantly contributed to democratizing AI, making it accessible to a broader audience and transforming businesses’ operations. Organizations can unlock even greater potential and drive innovation by combining low-code platforms with generative AI capabilities, such as Zvolv’s Z-Wall. 

To get started, book a demo with one of our experts. Take a step towards embracing the future of AI and empowering your team to easily create intelligent applications. 

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