Several well-regarded institutions are working tirelessly to integrate low code no code platform with Artificial Intelligence and Machine Learning. Google, H2O, MIT, and others. The integration of two core technologies will make it easy to use AI for everyday purposes and micro-applications.
In this article, we’ll explore the integration of AI and ML with low-code and no-code platforms. We will also overview five approaches to AI/ML integration with low code no code platform. And finally, evaluate the future of such technologies.
Low-code and no-code platforms are becoming increasingly popular due to their ease of use, speed, and ability to increase productivity.
Codeless development is a rising industry, and AI and ML integration can truly democratize the market in favor of micro-development. The current market cap of $22 Billion as of 2022 will expand to $32 Billion within the next year(2024) with a cumulative CAGR of 26%.
AI and ML could make these new-gen development platforms at par with their coded counterparts. Some of the latest innovations with the integration of AI and ML with low-code and no-code systems are:
Google AutoML was designed as a no-code platform for Android and iOS developers. The platform allows anyone to deploy ML models for their own use without any expertise. It has an API that can scan faces, label images, and much more.
H2O AutoML: A Low-Code ML platform can help users deploy several ML algorithms such as gradient descent, linear regression, and others. It automates the process of building multiple models at once and deploying them together.
MIT has a course to teach no-code AI/ML. This system will focus more on building customized data solutions.
ObviouslyAI is yet another no-code platform that can make predictions based on past data without the need for any coding.
There are several approaches that organizations can take to integrate AI and ML technologies with low-code and no-code platforms. These approaches include:
The most challenging task of low-code and no-code platforms is a minor bug in the dependent systems(plugins, custom code, etc.) makes it a nightmare to debug the system. Assistance from an expert becomes vital to ensure project success.
At Metaorange Digital, we can assist you in developing, debugging, and even optimizing your no-code/low-code project and enable seamless integration. The power to make major decisions on your project still remains in your hand, and we just assist you in making it a success.
Integrating no-code/low code with AI/ML will empower smaller developers to compete with big corporates. As AI and ML technologies evolve, low-code and no-code platforms can offer even more advanced capabilities, such as real-time data analysis and automated decision-making.
In addition, these platforms will likely become more accessible to a broader range of non-technical users. These codeless platforms will allow organizations to democratize AI and ML development and enable more people to build and deploy intelligent applications.
Both AI/Ml and No-code/Low-code platforms represent new-age technologies. Together they can revolutionize the landscape of micro-development. With increasing development costs, no-code/low-code platforms offer much relief.
However, managing such platforms in the event of any error can significantly hamper your project. Metaorange Digital can help you solve these errors with managed support, development guidance, and custom solutions to make your AL/ML project on no-code/low-code a powerful blend.
Learn More – Cloud Migration Services Of Metaorange Digital
Amit has over 16+ years of experience in IT and 5+ years in the field of DevOps, Cloud and automation technologies. He is a young entrepreneur with strong technical knowledge in Microsoft, Cloud, DevOps & Microservices and has expertise in highly scalable, available and fault-tolerant cloud architectures. He also has deep expertise in DevOps tools, Security, Cloud Migrations and deployment. Amit is a recognized Industry leader when it comes to migration of workloads from On-premise to Cloud, Configuration Management and Assessment.
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