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Ai - Design
Thinking

It’s important to approach the subject area of AI from the philosophy of design thinking. This is, so that there are a structure and an approach that is chartered out in the complex world of AI. Since there is an extensive range of solutions that one can design for AI applications, developers need to remain vigilant about the changing nature of Artificial Intelligence.

Therefore, to ensure quality and proper guidance, it’s best to think about AI from a design-thinking perspective. This captures much of the innovation that will potentially occur in the AI space so that the problem can be solved using another approach. Additionally, as AI is rapidly evolving, it makes the process of structuring a final proposal that much easier.

If we think about AI from the lens of design thinking, several ideas come out organically. We can then use AI as a tool and a platform. We don’t need to restrict ourselves to thinking about technology as a sole-domain of innovation. We can go from empathizing to prototyping much faster if we leverage design thinking in AI.

Developers and coding teams need to think about how AI and change go hand-in-hand. From a design perspective, it is more efficient to opt for an empathy, ideate, define, test, prototype model. It is essential for companies to look at the current AI model and introduce design thinking into it. Therefore, the future of innovation is what many analysts are making it out to be – Design thinking + AI.

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