NTP Product Lineup

Are you managing security measures and help desk support with just one dedicated IT person or someone who also handles other tasks? Chronic IT personnel shortages, delays in trouble response, lack of specialized knowledge, dependency on specific individuals, and delays in promoting digital transformation—these are five common challenges faced by information system managers in the manufacturing industry. We offer a one-package solution focusing on the three most burdensome areas: security measures, operational efficiency, and support. While visualizing your internal IT environment in real-time through a dashboard, we provide support for computer operations and troubleshooting both remotely and on-site. Our goal is to enable your information systems personnel to dedicate their time to promoting digital transformation, which they should be focusing on. You can choose from three plans, ranging from a small start to full support for AI utilization.

• Integrated operation management
• CTI Support Center
• Other security

We want to implement Gemini (Google Cloud's generative AI) in our organization, but we lack a design for SSO/SCIM, spending limits, and connector controls, making it difficult for the information systems department to finalize everything on its own. This is a support service aimed at the DX promotion and information systems departments in the manufacturing industry. Starting with governance design support, we provide comprehensive assistance from the entry point of utilizing Gemini to its establishment in the field, including training for engineers on Gemini CLI/Code Assist, training for non-engineers on Gemini Enterprise, and a package for building the Vertex AI infrastructure. Our approach goes beyond just implementation; we focus on articulating "which business operations will use it starting the next business day" as a key feature. All services are offered at a fixed price and can be utilized in approximately 2 to 3 months.

• Internal Control and Operational Management
• Other information systems
• Personal authentication

If you want to advance DX but are struggling to communicate with the field, please consult NTP's manufacturing DX support services. The real causes hindering digitalization and automation are deeply rooted in the field, such as "personalization" and "dependence on intuition and experience." Our expert consultants will work closely with your manufacturing frontline to identify the actual issues with a professional perspective. By objectively identifying what the bottlenecks are, the specific actions to take next will become clear. We welcome inquiries from those at the stage of concern and will take the first step together towards your ideal future. For inquiries or requests for materials regarding our manufacturing DX support services, which can start with organizing information structures, please click here.

• Other core systems

Are you struggling with the maintenance of existing systems or continuous functional enhancements? Here is an example of the development and maintenance support services provided by NTP for manufacturing industry DX. In major manufacturing and securities companies, maintaining the development environment of in-house equipment and ensuring stable system operation were significant goals. We established a close collaboration system with major SIers and executed appropriate technical support using advanced technologies such as Java, Spring Boot, and Oracle. As a result, we have significantly contributed to maintaining the long-term stable operation of the system and realizing continuous feature addition releases in response to business demands. We protect our customers' foundations with reliable technical skills and a stable operational system. Download the detailed materials on our manufacturing industry DX support services that accommodate diverse technologies now.

• Other core systems

We will introduce a specific success story of how data utilization has progressed in actual manufacturing sites through NTP's DX support services for the manufacturing industry. A project was launched at a manufacturing client aimed at visualizing the status of equipment using IoT data and preventing failures. We proposed the implementation of a Data Lakehouse using "Azure Databricks" as a foundation for AI utilization, and successfully completed the implementation. As a result of this initiative, we have successfully created a significant impact by improving customer satisfaction (CS) through the use of IoT data and diversifying after-sales services. This is a case that demonstrates the transformation into a data-driven business model. Download the performance materials of NTP's DX support services for the manufacturing industry, including details of this case.

• Other core systems

Aren't you worried about the operation after implementing advanced data infrastructure and AI models? With NTP's manufacturing industry DX support services, we provide comprehensive support after implementation. In manufacturing environments, even a momentary halt can lead to enormous losses, so extremely high availability is required. Our company does not just "build and finish" the systems and data infrastructure; we offer 24/7 monitoring and a rapid response system for failures. We are committed to daily stable operations and will continuously implement functional improvements for new challenges identified during the operation process. As a reliable partner you can trust, we will continue to support your DX infrastructure. Please check the materials on our manufacturing industry DX support services, which also describe our reliable maintenance and operation system.

• Other core systems

Transforming collected data into results. NTP's manufacturing industry DX support service brings AI implementation tailored to the field to life. After building a robust data foundation, it is essential to utilize AI to convert that into concrete business value. Our service implements machine learning models for advanced demand forecasting, predictive maintenance to detect signs of equipment failure, and quality assessment using image recognition for distinguishing between good and defective products. This enables the prevention of unexpected line stoppages and significantly reduces inspection costs. We train AI with the know-how of skilled workers on-site, raising the technical standards of the entire organization. Download materials on specific use cases of AI and machine learning, as well as our manufacturing industry DX support services.

• Other core systems

Are you unsure about how to collect and manage IoT data within your factory? NTP's manufacturing DX support service will assist you from the collection of physical data. Physical data such as the operational status of production lines, equipment vibrations, and temperatures are a treasure trove filled with hints for improvement. Our company implements a foundation for efficiently and securely collecting (ingesting) these diverse unstructured data. By centrally managing large amounts of manufacturing data, it becomes possible to capture hidden bottlenecks and signs of abnormalities on the shop floor. We utilize advanced technologies like Databricks to provide a suitable architecture with an eye toward future expansion. Here is the document explaining the construction of a data collection foundation for physical data as part of our manufacturing DX support service.

• Other core systems

Are you making the most of the vast amounts of data lying dormant on-site? NTP's manufacturing industry DX support service will build an advanced modern data platform. To enhance decision-making in manufacturing, it is crucial to integrate not only structured data from core systems but also unstructured data within the factory. We leverage our strengths as an official partner of Databricks and Fivetran to build a highly scalable "data lakehouse." This will provide an infrastructure that enables company-wide analysis and utilization while maintaining data freshness and quality. An advanced data infrastructure will dramatically accelerate the speed of your decision-making. Please download the introduction materials for our manufacturing industry DX support service, which covers the methods for building a data lakehouse.

• Other core systems

Are the systems in each department isolated? NTP's manufacturing industry DX support service enables company-wide optimal collaboration through the Data Hub. If systems for design, production, quality, inventory, and others are individually optimized, overall efficiency for the company cannot be achieved. We focus on the "Data Hub" that connects the entire value chain and build and refresh systems from scratch to realize seamless data flow. By consistently carrying out everything from strategy formulation to implementation, mismatches between systems and "translation losses" do not occur. With a speedy system refresh, we maximize business agility. Here is the document summarizing the details of our robust end-to-end system development for manufacturing industry DX support services.

• Other core systems

Are you struggling with excessive inventory or sudden material shortages? Let's achieve inventory visibility with NTP's manufacturing industry DX support services. Lack of transparency in the inventory status of materials and products can lead to cost pressure from excess inventory and opportunity loss due to stockouts. Our inventory management system visualizes the movements of incoming and outgoing goods in real-time, supporting the maintenance of appropriate inventory levels. By seamlessly integrating with production management and procurement processes, we can realize an efficient supply chain without waste. We will reduce the workload on the shop floor while ensuring accurate quantity management. Please download the materials outlining our approach to supply chain optimization in our manufacturing industry DX support services.

• Other production management systems

Are you experiencing delays in understanding production progress or unexpected troubles? NTP's manufacturing industry DX support service enables real-time production management. Efficient factory operations require synchronization between production plans and actual performance on the ground in real-time. Our custom-developed production management system provides a mechanism for accurately and swiftly collecting on-site work performance data. This allows for the immediate identification of bottlenecks where delays are occurring, enabling prompt countermeasures. It significantly contributes to maintaining an efficient and appropriate production process. We also showcase examples of digitalization in production management. Download the materials for our manufacturing industry DX support service now.

• Production Management System

Would you like to eliminate the information divide between the design and manufacturing departments? NTP's DX support services for the manufacturing industry provide a seamless system development solution. To enhance competitiveness in manufacturing, rapid sharing of design data and proper management of the product lifecycle (PDM/PLM) are essential. Our development support centralizes design data, which is often managed separately, and aims to optimize the entire value chain. As a result, the speed of transition from prototype to mass production is significantly improved, allowing for a reduction in time to market. We achieve reliable data integration with a user-friendly interface that reflects the voices from the field. Download the materials on our DX support services for the manufacturing industry, which explain our seamless system construction methods here.

• Other core systems

Even if you want to utilize AI, it won't function if the data is fragmented. NTP's manufacturing industry DX support service promotes the standardization that is a prerequisite for data utilization. Data siloed by department and decision-making based on the intuition of craftsmen are significant factors that hinder corporate growth. We guide you to a state where data can be utilized at any time by ensuring the standardization of operations and the reproducibility of processes. By creating this "AI-Ready/Data-Ready" state, future AI implementation and advanced data analysis will function smoothly. Let's start the standardization to transform data into a true asset for your company together. Please download the detailed materials on our manufacturing industry DX support service, which explains the steps for data standardization in detail.

• Other core systems

Are you struggling with the personalization of business processes and inefficiencies? NTP's manufacturing industry DX support service will fundamentally reform the workflows on-site. The real challenges lurking in the manufacturing environment cannot be seen just by observing from the outside. Our specialized staff will conduct thorough analysis with a sense of ownership, deeply engaging with your site. We will identify inefficient operations that rely on intuition and experience, and execute Business Process Reengineering (BPR) to redesign them into appropriate workflows. This will lead to a transformation into a robust organizational foundation where anyone can reproduce high-quality work. Please check the materials on our manufacturing industry DX support service, which detail specific approaches to business process reform.

• Other core systems

Are you ready to move away from superficial DX plans? NTP's manufacturing DX support services will accompany you from the formulation of a feasible roadmap. A successful digital transformation requires a strategy that accurately understands your company's strengths and challenges. Our consulting not only focuses on ideal theories but also thoroughly analyzes on-site equipment, personnel allocation, and existing processes. This allows us to derive a realistic and effective DX roadmap that won't just be a pie in the sky. Let's outline steps that lead to tangible results while minimizing the burden on the field. You can download the introductory materials for our manufacturing DX support services, which explain how to create a highly effective roadmap, from here.

• Other core systems

Amid the call for digital transformation, many companies are struggling with the gap between the field and management. NTP Corporation provides DX support that addresses the gritty challenges faced on the ground. The reason many DX projects fail is due to system designs that ignore the realities of the field. Our manufacturing DX support service thoroughly gathers insights from the front lines and formulates DX strategies that are aligned with actual conditions. By implementing robust systems that take into account equipment, personnel, and existing processes, we can create mechanisms that reliably generate value. We maintain a field-first approach and strongly support your company's transformation towards a sustainable future. Please download the detailed materials on NTP's manufacturing DX support services, which explain the transformation process based on field insights, now.

• Other core systems

In the automotive industry's production line efficiency, stable operation of equipment is essential. Sudden line stoppages lead to delays in production plans and increased costs, which pressure profits. The predictive maintenance introduced in this document aims to maximize production efficiency by detecting equipment anomalies in advance and enabling planned maintenance to address these challenges. 【Usage Scenarios】 * Monitoring production line operation * Detecting equipment anomalies * Implementing planned maintenance 【Benefits of Implementation】 * Reducing losses due to sudden line stoppages * Optimizing maintenance costs * Improving production efficiency

• Document and Data Management

In the semiconductor industry's cleanroom management, stable operation of the manufacturing process is essential. The contamination of fine particles and foreign substances can significantly degrade product quality and lead to enormous losses. Predictive maintenance allows for early detection of equipment anomalies and enables planned maintenance, minimizing losses due to unexpected downtime. This product is necessary to reduce risks in equipment management within cleanrooms and to establish a stable production system. 【Usage Scenarios】 - Air conditioning equipment in cleanrooms - Manufacturing equipment - Conveyance systems 【Benefits of Implementation】 - Reduction of equipment downtime - Stabilization of quality - Optimization of maintenance costs

• Document and Data Management

In the data center industry, it is important to prevent server shutdowns due to overheating and maintain stable operations. Particularly in high-density server environments, abnormalities in cooling systems can have serious impacts on business continuity. Predictive maintenance allows for the early detection of equipment anomalies and enables planned maintenance, minimizing downtime and enhancing the reliability of data centers. This document explains the introduction of predictive maintenance in data centers and its effects. 【Use Cases】 - Detection of abnormalities in server cooling systems - Efficient operation of air conditioning equipment - Reduction of overall energy costs in data centers 【Effects of Implementation】 - Reduction of server downtime - Optimization of operational costs - Improvement of data center reliability

• Document and Data Management

In the pharmaceutical industry, product quality and stable supply are the most important challenges. Even slight abnormalities in the manufacturing process can lead to product quality degradation or production halts, potentially resulting in significant losses. Unexpected equipment failures also carry the risk of delays in production planning and, in some cases, shortages of pharmaceuticals. The predictive maintenance introduced in this document contributes to addressing these challenges by improving profit margins. 【Usage Scenarios】 - Abnormality detection in manufacturing equipment - Strengthening quality control - Optimizing manufacturing processes 【Effects of Implementation】 - Reducing losses due to sudden equipment failures - Digitizing the knowledge of skilled workers to promote technology transfer - Improving quality through stabilization of the manufacturing process

• Document and Data Management

In the food industry, stable operation of the manufacturing line is crucial for quality control. Sudden equipment failures can lead to a decline in product quality, waste, and decreased productivity, which in turn pressures profits. Predictive maintenance addresses these issues by detecting equipment anomalies in advance and enabling planned maintenance. This document explains predictive maintenance, which directly improves profit margins. 【Usage Scenarios】 * Detection of equipment anomalies in food manufacturing lines * Data analysis and improvement in quality control departments * Knowledge transfer from veteran technicians on the manufacturing floor 【Effects of Implementation】 * Reduction of losses due to unexpected equipment failures * Stabilization of product quality * Improvement in productivity

• Document and Data Management

In the mining industry, stable operation of equipment is directly linked to productivity and profit. Unexpected equipment stoppages can lead to significant opportunity losses, making planned maintenance and the ability to detect signs of failure crucial. The predictive maintenance introduced in this document helps reduce equipment downtime and contributes to operational stability. 【Use Cases】 * Monitoring the operational status of mining machinery * Detecting anomalies in plant equipment * Optimizing maintenance for excavators 【Benefits of Implementation】 * Prolonging the lifespan of equipment * Reducing maintenance costs * Improving productivity

• Document and Data Management

In the optimization of transmission networks in the power industry, stable power supply is essential. Power outages due to equipment failures not only lead to economic losses but also have significant social impacts, making stable operation of equipment necessary. Predictive maintenance reduces the risk of unexpected shutdowns by enabling early detection of equipment anomalies and allowing for planned maintenance. This document explains predictive maintenance, which directly improves profit margins. 【Use Cases】 - Monitoring transmission equipment - Managing substation equipment - Optimizing power supply systems 【Benefits of Implementation】 - Improved equipment operating rates - Reduced maintenance costs - Stabilization of power supply

• Document and Data Management

In the oil and gas industry, stable operation of equipment is essential for pipeline maintenance. Unexpected shutdowns can lead not only to significant losses due to operational halts but also to safety issues. The predictive maintenance introduced in this document helps reduce these risks and contributes to improved profit margins. 【Use Cases】 - Abnormal detection in pipelines - Equipment failure prediction - Optimization of maintenance plans 【Benefits of Implementation】 - Reduction of losses due to sudden shutdowns - Optimization of maintenance costs - Improvement of equipment operating rates

• Document and Data Management

In the manufacturing industry, reducing downtime is a critical issue that directly relates to improving production efficiency and reducing costs. Unexpected equipment failures can lead to various losses, such as delays in production schedules, the occurrence of defective products, and increased repair costs. The predictive maintenance introduced in this document is an effective means to address these challenges and improve profit margins. 【Usage Scenarios】 * Predicting equipment failures in advance and implementing planned maintenance * Digitizing the know-how of skilled technicians to promote knowledge transfer * Achieving efficiency in maintenance operations through data-driven decision-making 【Effects of Implementation】 * Increased productivity due to reduced downtime * Reduction in maintenance costs * Improved quality through a decrease in defective products

• Document and Data Management

Do you feel that the data within your company is fragmented and not interconnected? NTP's manufacturing industry DX support service visualizes the reality of siloing. In many manufacturing sites, different systems and management methods are used by each department, leading to data fragmentation known as "siloing." This hinders overall optimization and is a significant factor delaying the progress of DX. Our company will thoroughly check how your internal data and business processes are fragmented and visualize it in a tangible way. We will propose an appropriate integration plan, incorporating successful case studies from other companies and BPR (Business Process Reengineering) know-how. Let's start by organizing the information structure. Download the introduction materials for our manufacturing industry DX support service now.

• Other production management systems
• Business Intelligence and Data Analysis

Many companies are advancing the introduction of AI, but it is not uncommon for this to end up as merely a superficial implementation of tools. NTP Corporation supports the creation of a truly functional foundation through an approach that designs the future from the front lines of the field. In today's rapidly changing business environment, it is urgent to transform into an organization that can effectively utilize AI. We do not stop at merely building systems; we accompany you through the entire process from the conceptual stage of the business to implementation through engineering. By adopting an approach that reflects the realities of the field, we realize the creation of business value. *You can check the full details of NTP's "AI-Ready" process, which dramatically transforms organizations, in our free service introduction materials.

• Business Intelligence and Data Analysis

The first step in utilizing AI begins with accurately understanding the current state of your company. We visualize challenges from three axes: operations, data, and organization, clarifying the path forward. We thoroughly identify bottlenecks in AI implementation, such as the personalization of operations, data fragmentation, and uncertainty in authority. By scoring the current situation and conducting a Fit & Gap analysis, we clarify the priorities for investment. Furthermore, we develop a roadmap that sets short- and medium-term KPIs and design a comprehensive strategy for optimal data integration. *Download detailed materials filled with assessment criteria and specific examples for roadmap development now.*

• Business Intelligence and Data Analysis

To ensure that AI does not become just a temporary trend but functions as the core of a company, it is essential to refresh the organizational structure that embraces it. At NTP, we design and support the establishment of a specialized organization (CoE) to strongly promote the utilization of AI within the company. In conjunction with this, we will restructure existing business processes to be AI-centric and establish governance rules for safe operations. Additionally, we will cover the development of practical training programs to enable internal personnel to independently handle AI. *For more details on the design philosophy of the "CoE organization" that will shape the future of companies, please refer to the introduction materials.

• Business Intelligence and Data Analysis

Are you stagnating due to the excessively high expectations of the world and the repeated proof-of-concept (PoC) experiments? We will develop AI that is deeply integrated into your operational processes and truly useful. We will optimize and integrate cutting-edge generative AI like ChatGPT and Claude to fit your specific business workflows. Furthermore, we can build a "custom LLM" that utilizes your unique unstructured data, such as internal documents, negotiation audio, and manuals. We will establish overwhelming competitive advantage through a dedicated large language model for your company. *Details of our AI development lineup, which supports everything from general business to core operations, are available in our materials.

• Business Intelligence and Data Analysis

Are you relying entirely on the experience of skilled workers for forecasting tasks and maintenance in manufacturing, distribution, and management? Machine learning can solve this challenge. By utilizing machine learning algorithms, we derive advanced demand forecasts from past data. Additionally, by leveraging IoT sensor data, we can detect early signs of equipment failure in advance and establish a system to prevent troubles before they occur. We transform processes that have depended on veteran workers into data-driven approaches, maximizing operational efficiency. *For more details on the predictive analytics AI service that accelerates DX in manufacturing and management, please refer to the downloadable materials.

• Business Intelligence and Data Analysis

We will clarify the challenge faced by companies that say, "Although we have accumulated vast amounts of internal data, we are not able to utilize it at all for actual operations or AI applications." We will build an environment that smoothly integrates core systems (ERP/CRM), IoT sensors, and unstructured data such as images and audio. NTP is an official consulting and SI partner of Databricks, which provides cutting-edge "Data Lakehouse," and Fivetran. From the implementation of predictive dashboards (BI) to marketing AI support, we will create a robust foundation that can process data in real-time. *The configuration diagram of the modern data infrastructure proposed by Databricks/Fivetran official partners can be found in the materials.

• Business Intelligence and Data Analysis

This is a case where we supported a major company in the telecommunications industry in formulating a comprehensive IT strategy with an eye toward future AI utilization. We identified potential challenges in introducing and utilizing generative AI in the field and created a medium- to long-term roadmap. As a specific approach, we conducted AI workshops to promote the hearing of on-site issues and the establishment of a governance environment. Furthermore, we are accompanying the consideration of establishing a specialized organization (CoE) and educational activities (soil formation) to cultivate AI talent within the company. *Download the consulting achievement materials of NTP, which deeply accompanies from the conceptual and strategic phase.

• Business Intelligence and Data Analysis

This is a development case in the real estate industry that established a system for the automatic extraction of high-quality properties and the rapid display of promising property candidates on the web. We adopted Google Cloud Platform (GCP) as the cloud infrastructure and implemented a scalable AI data platform by combining Vertex AI and BigQuery. As a result, we have successfully standardized the procurement process, which previously relied on the expertise of the personnel. Consequently, we achieved an overwhelming result by reducing the enormous labor involved in property extraction by 80%. *Specific system configurations and secrets to success during the implementation and development phases are available in the presentation materials.

• Business Intelligence and Data Analysis

We will unravel common challenges that often arise in the early stages of DX, such as "communication gaps with the field" and "increasing data silos." Specialist consultants will organize the realities of "personalization" and "dependence on intuition and experience," which hinder digitalization and automation. We will check the data silos that are divided by department and obstruct overall optimization, and visualize the information structure. Furthermore, we can individually introduce successful case studies from other companies regarding BPR (Business Process Improvement) and infrastructure development in similar manufacturing environments. *Here is the first step material that organizes your company's information structure and significantly increases the success rate of AI implementation.

• Business Intelligence and Data Analysis

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.

• Software (middle, driver, security, etc.)

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.

• Software (middle, driver, security, etc.)

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.

• Document and Data Management

In the manufacturing field, unexpected line stoppages pose a fatal risk that can lead to losses on the scale of tens of millions of yen. Traditional reactive maintenance cannot prevent failures, and preventive maintenance has been challenged by increased costs due to excessive parts replacement. Predictive maintenance is a strategic investment aimed at maximizing profit margins by balancing these issues, maintaining operational efficiency while minimizing costs. We will provide a detailed explanation of the maintenance approach that is directly linked to management indicators. You can find the complete overview of the maintenance strategy that dramatically changes profit margins in this document.

• Other information systems

The introduction of predictive maintenance faces different "barriers" at each phase, causing many companies to stagnate along the way. The main hindrances are the "lack of clarity in ROI" at the pre-implementation stage, "low data quality" during the prototyping phase, and "enormous operational costs" during the production phase. At the root of all these failures lies a structural issue: the absence of an "AI-Ready data infrastructure" that assumes the use of AI. Clearly defining measures for each phase is the shortcut to success. Please take a look at the materials for a roadmap to promote projects without failure.

• Other information systems

The implementation of predictive maintenance requires an extremely broad range of expertise that spans both IT and the field. Three major challenges are "network construction" for stable data collection, "secure data management" to prevent siloing, and "AI model development" using advanced algorithms. If you try to optimize these individually within your company, the system will become more complex, and costs and time will escalate endlessly. It is essential to build an efficient implementation process. The technical approaches to minimize implementation costs are detailed in the materials.

• Other information systems

The key challenge is how to efficiently transform the vast and diverse raw data obtained from IoT devices into value. Databricks' data lakehouse integrates low-cost storage (lake) with high-quality centralized management (warehouse) that can withstand AI learning. By eliminating the complexity of infrastructure construction, companies can focus their resources on their primary goal of "prediction and analysis." We will explain the importance of a foundation that enables the shortest route to AI implementation. The ideal configuration diagram for the data infrastructure is included in the downloadable materials.

• Other information systems

We will solve the challenge of technology transfer that many manufacturing sites face by utilizing AI for digital asset creation. Simply analyzing sensor values (such as vibration and temperature) makes it difficult to predict true anomalies. By linking the event logs from the field that experienced professionals use to explain "why that operation was performed at that time," we can incorporate the long-developed intuition for detecting anomalies into the AI model. This enables us to elevate individual technical skills into a lasting asset for the entire organization. We provide a detailed explanation of specific methods for embedding expert skills into AI in our materials.

• Other information systems

Successful predictive maintenance requires not only technical skills but also a deep understanding of the "context" in the field, along with a gritty execution capability. NTP Corporation is composed of domain experts familiar with sites like Kubota and IT professionals from IBM. Our approach is characterized by the "FDE style," which goes beyond merely creating polished strategies; we immerse ourselves in the front lines of the field to ensure implementation. We will guide projects to successful completion even from a state where there is no in-house know-how. You can find more details about our field-led, collaborative engineering approach in the materials provided here.

• Other information systems