Key Points for Successful AI Development

Specificity of the plan," "Excellent data acquisition environment," "Correct understanding of AI.

I will introduce successful development when requesting an AI vendor. 1. Goals and processes are specific. Development with specific goal setting, such as "I want to automate the □ task of the △ line of the 〇〇 product," and clear processes often leads to success. 2. The data acquisition environment is well-established. The purity of data greatly influences development results. Therefore, when the data acquisition environment is well-established, the success rate can be said to be higher. 3. AI is viewed as part of the system. It is important to see AI as a means to solve needs and to consider the usage environment. I have introduced three points, but it can be difficult for customers to implement the above on their own. By using our "DeepEye," it is possible to easily engage in AI development. - It is a one-time purchase model, making budgeting easier. - Even if it is unclear whether AI can be applied, it can be verified multiple times. - Even if there are many issues, the cost remains the same. Additionally, our company also provides AI consulting, and we have a support system in place to help solve our customers' challenges.

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