Five points to consider when implementing edge AI.
Explaining points such as merits and demerits, trade-offs between speed and accuracy!
In recent years, "Edge AI," which implements AI models on edge devices used in the field, has gained attention, and the number of use cases is increasing. Our company has also seen an increase in inquiries from customers regarding consulting and implementation requests for Edge AI. Based on our practical experience in Edge AI development and implementation, this article is part of a two-part series that will convey the trends in Edge AI technology and the points to consider during implementation. When implementing Edge AI, there are actually both advantages and disadvantages. Therefore, the first point to consider is to examine both the advantages and disadvantages of implementing Edge AI, and to proceed with implementation on edge devices only when the advantages outweigh the disadvantages. *For detailed content of the article, please refer to the related links. For more information, feel free to contact us.
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Our company utilizes artificial intelligence, particularly machine learning algorithms that include deep learning, to provide a wide range of solutions that can meet the diverse needs of our customers. We offer AI/DX solutions tailored to the specific business operations of each company, so please feel free to contact us.