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This document explains predictive maintenance, which directly improves profit margins. It provides detailed information on the risks and costs of maintenance strategies, the biggest barriers for many manufacturing sites, and integrated solutions. Additionally, it includes information about a 30-minute free assessment, so please take a moment to read it. 【Contents (partial)】 ■ Why predictive maintenance directly improves "profit margins" ■ Phase by phase: Three pitfalls that hinder predictive maintenance projects ■ The "three major hurdles" that impede implementation and the barrier of specialized knowledge ■ Solving the three major hurdles with Databricks ■ Digitally capitalizing on the "intuition" of veterans ■ The significance of having professionals who understand the field provide "FDE (support)" *For more details, please download the PDF or feel free to contact us.
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This document is a guide for building an AI-ready data infrastructure for the manufacturing industry. It provides a detailed explanation of the advantages and disadvantages of AI utilization, the importance of "maintenance" and "design" in determining the success of data integration, the worsening shortage of data personnel, and the shift towards "de-personalization." We also introduce methods for accelerating data infrastructure development and metadata management to unlock the true value of data utilization. [Contents] ■ Trends in generative AI utilization and challenges in data utilization ■ Why data utilization is not progressing as expected ■ Requirements for data infrastructure in the era of generative AI *For more details, please download the PDF or feel free to contact us.
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This document explains the shift from fact-based approaches to "on-site implementation" methods. It includes detailed information on on-site implementation engineering (FDE), a roadmap to becoming AI-Ready, and case studies. This is a valuable read, so please take a look. 【Contents】 ■ Executive Summary: Competitive Advantage in the AI Era ■ Challenges: Why do DX/AI implementations stop at PoC? ■ Solutions: On-site Implementation (FDE) and the Palantir Model ■ Three Elements that Constitute AI-Ready ■ NTP's Solutions ■ Case Study: Specific Results at Yamaha Motor Co., Ltd. ■ Conclusion: A Time to Differentiate Through Implementation *For more details, please download the PDF or feel free to contact us.
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