data scientist network

It is a solution to secure human resources centered on data scientists, which cannot be satisfied only in Japan, by procuring them from overseas.

latest technology

In order to improve the analysis accuracy of AI, the "quantity" and "quality" of learning data are considered important. For example, at the introduction stage, the Company engineers who understand cutting-edge sensing technology will support you in determining what sensors should be installed where to obtain effective data.

Achievements/Experience

It is important to lead the project by determining which business to apply AI technology to and how to put it into practical use.

Centering on these three strengths, we will combine Macnica group 's technology and knowledge of semiconductors and sensors to build a system that provides total support for AI implementation, from sensing and data collection to AI model development and integration and system operation. . That is the overall picture of the macnica.ai business.

We can handle everything from the AI development process to system construction

The biggest feature of Macnica 's AI business is that we have the human resources, technology, and products that can handle everything from research to hypothesis verification, implementation, and operation. There are many companies that support the development and implementation of AI technology, but the scope of each company's support is narrow, such as ``consulting only on research and requirement definition up to development'' and ``building the systems necessary for implementation is done by a separate company.'' There are many cases where they are separated. At Macnica, we can handle everything from installing the optimal sensors necessary for data collection, selecting algorithms that suit the problem from among the many AI methods, incorporating and implementing them into hardware, and on-site operations. We can propose the most effective and efficient AI introduction process based on implementation and operation.

We can make optimal proposals based on implementation and operation, such as which business should use AI to maximize the effect.

AI is still an unknown field for many companies. There are probably many people who are interested in AI, but don't know which tasks they should use it for. Macnica, which provides total support for companies to introduce AI, is familiar with the points where companies tend to stumble when introducing AI. For this reason, we provide appropriate advice based on our extensive experience, such as ``Which tasks should AI be applied to effectively?'' ``Are there any issues that will arise during the implementation and operation stages?'' ``Will this hypothesis produce a certain level of effectiveness?'' It is possible. Our distinctive feature is that we have the know-how to lead companies that are starting to develop AI to success.