[Information] A Little Ahead of the Curve! Cutting-Edge Technologies for DX in Manufacturing Industry
DX promotion is an important issue for many companies. We will introduce various technologies for promoting DX through data utilization!
Machine learning is a technology that infers and predicts results for unknown data by iteratively learning from data on a computer. It can be said that machine learning is not suitable for situations that require real-time decision-making, such as anomaly detection or responding to environmental changes like the automatic control of heavy machinery. So, what technologies can be utilized in such cases? This document provides a detailed explanation of the advantages of advanced technologies that can be applied in various scenarios within the construction and telecommunications infrastructure industries, along with examples of their use in business, illustrated with diagrams and images. Please take a look in light of your company's challenges and objectives!
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【Contents】 ■ What is DX? ■ Business Background of the Manufacturing Industry and DX Utilization Scenarios 1. Labor shortages and skill gaps due to declining production population 2. From products to services (servitization) 3. Dynamic capabilities ■ What is Machine Learning? Examples of basic machine learning techniques and points to consider ■ Introduction to Emerging Technologies (Benefits of each technology, points for utilization, examples of business applications, etc.) 1. Edge AI 2. Reinforcement Learning 3. Vision & Language * For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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We provide comprehensive support for our customers' DX promotion and data utilization. Our support includes analysis by data scientists and engineers from academic backgrounds, assistance with product utilization, and the establishment of data science organizations within our customers' companies, tailored to meet their needs. Please feel free to contact us if you have any requests.
![[Data] Introduction to Machine Learning](https://image.mono.ipros.com/public/product/image/a68/2000496279/IPROS85605213444567713582.jpeg?w=280&h=280)
