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  6. NeuralSight

NeuralSight

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NeuralSight

last updated:Dec 21, 2023

SETソフトウェア データ分析・活用ソリューション担当
SETソフトウェア データ分析・活用ソリューション担当
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Fully automating the search for the best models applicable to business, strongly supporting the development of a robust estimation system based on collective learning.

NeuralSight is positioned as a superior product to NeuralWorks Predict and maximizes the results of problem-solving solutions based on the analytical models we propose. NeuralSight automates the parameter tuning process, which has traditionally involved trial and error, by allowing users to set conditions for model building through a GUI. It enables the visual selection of applicable models from a generated group of models (ranging from hundreds to thousands) in alignment with practical insights. This makes it a powerful tool that significantly enhances development productivity and greatly reduces development costs. Additionally, it strongly supports the development of estimation models based on collective learning, which addresses the perceived shortcomings of neural network models in point estimation compared to probabilistic models like Bayesian statistics, by leveraging the output distribution of numerous high-performance models generated. This package includes a runtime engine for developing and testing business applications based on predictive models.

    Sales promotion and sales support software
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NeuralSight

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2021-09-27_09h10_13.png
  • Related Link - https://www.setsw.co.jp/business/neuralworks.html

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basic information

NeuralSight is a tool designed to maximize the capabilities of NeuralWorks Predict, allowing researchers and analysts to build robust neural network models for forecasting, classification, and stratification applications. It provides a GUI for handling large datasets that exceed the data capacity of Microsoft Excel (prior to 2003) (256 variables, 65,000 records), enabling users to specify optimal evaluation criteria for model construction, thereby further enhancing NeuralWorks Predict. As a result, NeuralSight can automatically build models without manual intervention and select the optimal model from many neural network models. Specifically, constructing and evaluating analytical models for large-scale applications or diagnostic equipment with various input parameters requires enormous time and effort, along with additional time to calculate and consider evaluation metrics. NeuralSight automates such processes, allowing for the construction of hundreds or even thousands of models without human involvement, significantly improving productivity and reducing development costs.

Price information

Commercial License: 4,980,000 yen Annual Maintenance Fee: 880,000 yen Academic License: 2,580,000 yen Annual Maintenance Fee: 260,000 yen All prices above are excluding tax.

Price range

P5

Delivery Time

Please contact us for details

※Delivery possible within a minimum of 2 weeks.

Applications/Examples of results

<Application> Power demand forecasting system for small and medium-sized buildings, learning-type robotic cameras, moisture content prediction in the wood drying process, combustion control model for automobile engines, vehicle control model (F1), corrosion occurrence prediction for plants, development of plant control models and digital twin creation, recycling support based on plastic identification models, yield factor identification in semiconductor production lines, support for traditional Chinese medicine prescriptions, portfolio analysis support for securities companies, support for Nikkei 225 futures trading, ATM cash demand forecasting, corporate rating prediction models, call center incoming call forecasting, production planning support based on sales forecasts, new product sales quantity forecasting, convenience store private brand product demand forecasting, lake algal bloom occurrence prediction system, crop growth forecasting in plant factories, optimization of yeast culture conditions, flowering date prediction based on gene expression, visualization analysis of gene expression time series data, product defect rate forecasting in casting factories, cupola melting expert system, organizational decision-making support system through shared analytical models.

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NeuralSight

NeuralSight

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Business challenge resolution and business solution development support services based on the Neural Works analysis model.

Business challenge resolution and business solution development support services based on the Neural Works analysis model.

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User utilization examples in research and development.

User utilization examples in research and development.

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Collection of Topics on Neural Works Analysis Model Development

Collection of Topics on Neural Works Analysis Model Development

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Data utilization support solution using the Neural Works analysis model - Providing everything from analysis models to business support systems.

Data utilization support solution using the Neural Works analysis model - Providing everything from analysis models to business support systems.

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Neural Works Product FAQ

Neural Works Product FAQ

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Neural network analysis model development environment

Neural network analysis model development environment

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News about this product(2)

Seminar on Creating and Utilizing Analytical Models for Solving Management and Business Issues - Grasping the Entire Steps for Problem Solving Based on Analytical Models, from Excel Linear Analysis to the Basics of Neural Network Analysis.

  • Seminar・Event

The development of AI based on machine learning that utilizes large amounts of data and abundant computational resources has proven that Go AI can possess the strength to defeat the strongest active players, leading to a significant increase in expectations for its application in solving various unsolved problems. Furthermore, recent interactive AI based on large-scale language models is poised to greatly change the speed and quality of intellectual production. On the other hand, in the business field, digital transformation (DX) of management and business processes is being promoted to meet the diverse needs of consumers. However, in overwhelmingly many companies, the current situation is that they are either only partially introducing digital tools into their business processes or are unable to capitalize on opportunities for business transformation due to difficulties in investment decisions for system infrastructure based on data utilization, a lack of expertise in data analysis techniques, and the absence of personnel skilled in organizational operations that lead to results. In this seminar, we will acquire practical knowledge through demonstrations on the following topics: - Problem-solving processes based on analytical models - Handling of small data, which poses challenges in the utilization of analytical models, along with various case studies - Excel-based analytical model development environments effective for sharing organizational know-how - Case studies of organizational analytical model utilization directly linked to solving management issues.

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Seminar on Creating and Utilizing Analytical Models for Solving Management and Business Issues

  • Seminar・Event

The development of AI based on machine learning utilizing big data and abundant computing resources, particularly the recent interactive AI based on large-scale language models, is significantly changing the speed and quality of intellectual production. On the other hand, in the business world, there is a growing call for the digital transformation (DX) of business processes to meet the diverse needs of consumers in a global market, and companies are emerging that are developing AI systems based on unique analytical models aimed at utilizing data, leading to tangible results. However, in the overwhelming majority of companies, the difficulty of making investment decisions for system foundations based on data utilization, the lack of expertise in data analysis technologies, and the absence of personnel skilled in organizational operations to connect these efforts to results are leading to significant opportunity losses. In this seminar, while introducing case studies from the manufacturing industry, we will deepen practical knowledge and understanding through demonstrations on: - How to handle small data, which poses a significant problem in the problem-solving process based on analytical models, and various utilization examples. - The use of a programming-free analytical model development environment based on Excel, which is beneficial for organizational use of analytical models.

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Company information

SETソフトウェア

SETソフトウェア データ分析・活用ソリューション担当

Information and Communications

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Since its establishment in 1973, we have built a diverse range of systems including host-based, open systems, and control systems, as well as providing IT personnel dispatch, software and package sales, and consulting services. Furthermore, we are widely expanding our provision of business solutions that address operational challenges, primarily in the manufacturing industry.

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