Artificial intelligence (AI) has swiftly advanced from a niche field to a transformative technology that affects a variety of industries. However, the complexity and technical knowledge necessary to produce AI solutions have frequently been barriers to broad adoption. This is where low-code/no-code AI comes into play.
Low-code/no-code AI platforms provide a visual interface and pre-built components, enabling users to create AI applications with little or no coding at all. These platforms abstract away the intricacies of programming, making AI development accessible to a wider range of users, including business analysts, data scientists with minimal coding abilities, and even non-technical individuals.
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Low-code/no-code AI platforms often employ a drag-and-drop technique. Users may combine pre-built AI models, data connectors, and algorithms to create a workflow. The platform manages underlying code creation and deployment, allowing for quick prototyping and development.
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While low-code/no-code AI offers numerous advantages, it’s essential to consider its limitations:
Low-code/no-code AI has a wide range of applications across industries:
The low-code/no-code AI market is quickly increasing, with new platforms and features emerging constantly. As technology progresses, we should expect increasingly advanced capabilities, making AI development more accessible and efficient.
In conclusion, low-code and no-code AI is a game changer that allows organizations and individuals to leverage the potential of artificial intelligence without requiring considerable technical knowledge. By breaking down traditional barriers, these platforms are accelerating AI adoption and innovation across different industries.
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From
Manisha Vashisht
Asst. Professor in CSE Dept.
Lingaya’s Vidyapeeth
B.Tech CSE Colleges in Faridabad
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