Hi Rabia Maryam,
Thank you for reaching out to us on Microsoft Q&A forum.
Coding remains indispensable in the AI field for several compelling reasons. Please check the below reference points.
- AI is built on intricate algorithms and mathematical models that require a deep understanding of concepts like machine learning and neural networks. Coding provides the precision needed to harness these powerful tools effectively.
- No-code tools are great for many tasks, but they often fall short on customization. Coding empowers developers to craft unique solutions that perfectly align with specific needs, enhancing both functionality and performance.
- With coding, you can fine-tune algorithms for speed and efficiency essential when working with large datasets or real-time applications.
- Many AI applications need to interact with existing systems and databases. Coding ensures smooth communication and data flow, making integration a breeze.
- Custom code is more adaptable, allowing for easy modifications and scaling as projects grow or evolve, whereas no-code solutions can face limitations as demands shift.
- In essence, while no-code tools simplify many processes, coding is vital for developing robust, efficient, and customized AI solutions. It’s all about combining both approaches for the best results!
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