Iku Ohama

Title: Iku Ohama: Innovator in Demand Prediction Technologies

Introduction

Iku Ohama is a prominent inventor based in Osaka, Japan. He has made significant contributions to the field of demand prediction technologies, holding a total of 8 patents. His innovative methods and apparatuses have advanced the way businesses can forecast demand and assess the effectiveness of prediction models.

Latest Patents

Ohama's latest patents include a demand prediction method and apparatus, as well as a non-transitory computer-readable recording medium. The demand prediction method utilizes a computer to calculate the error between a predicted value of past demand and the actual measurement of that demand. This method involves inputting past explanatory variable measurements into a prediction model, which is constructed based on demand measurements at a specific location and external factors influencing demand fluctuations. If an error is identified as abnormal, the method allows for the acquisition of new explanatory variables, updating the prediction model, and predicting future demand accordingly.

Another notable patent is the evaluation result display method and apparatus, which aims to reduce computer memory usage and processing time when assessing the effectiveness of a prediction model. This method involves acquiring and sorting multiple records based on prediction values, determining performance data parameters, and generating a graph to visually convey the model's effectiveness.

Career Highlights

Iku Ohama has worked with notable companies such as Panasonic Corporation and Panasonic Intellectual Property Corporation of America. His experience in these organizations has allowed him to refine his skills and contribute to significant advancements in technology.

Collaborations

Ohama has collaborated with talented individuals in his field, including Shohji Ohtsubo and Ryota Fujimura. These collaborations have fostered innovation and the development of cutting-edge technologies.

Conclusion

Iku Ohama's work in demand prediction technologies showcases his innovative spirit and dedication to advancing the field. His patents reflect a commitment to improving forecasting methods and enhancing the effectiveness of prediction models.