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 from an AI vendor. 1. Goals and processes are specific. Development with clearly defined goals, such as "I want to automate the □ task of the △ line of the XX product," and a clear process tends to be successful. 2. The data acquisition environment is well-established. The purity of the data has a significant impact on the development results. Therefore, if the data acquisition environment is well-established, the success rate can be said to be high. 3. AI is perceived as part of the system. It is important to view AI as a means to solve needs and to consider the usage environment. While I have introduced these three points, 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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