Seminar on Creating and Utilizing Analytical Models for Solving Business Challenges - Grasping the Overall Picture of Steps Toward Problem Solving Based on Analytical Models, from Excel Linear Analysis to Neural Network Analysis.

Quickly create a multi-layer neural network model from Excel data without programming.

NeuralWorks Predict provides data analysis capabilities based on neural network analysis. It learns complex patterns from accumulated data to build more accurate predictions and pattern recognition models than traditional statistical analysis methods, as well as clustering functions based on data visualization, all without the need for programming. [Customer Feedback] - I am very grateful that I can easily try multivariate analysis in a way that has not been possible until now. - NeuralWorks is extremely helpful when linearity is visible but interactions are considered. The calculations are fast, and since there is no need for programming, it is easy to start preliminary investigations, which I appreciate. - Unlike other AI platforms, I appreciate that the created models are output as function code and can be used independently of the platform. I was surprised that I could build artificial intelligence in about 5 seconds without programming. - We were able to achieve prototype reduction and compression of experimental counts for electronic components and home appliances, leading to cost savings of several hundred million yen annually.

• Other analyses
• Analysis Services
• Technical Seminar

Fully automating the search for the best model 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 required trial and error, by allowing users to set conditions for model building through a GUI. It enables the visual selection of applicable models for operations from a generated group of models (ranging from hundreds to thousands) while aligning with practical insights. This makes it a powerful tool that significantly enhances development productivity and reduces development costs. Additionally, it strongly supports the development of estimation models based on collective learning, which addresses the 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.

• Other analyses

The best GUI environment for understanding modeling based on neural networks.

NeuralWorks Professional II/PLUS is a world-class professional neural network development environment. You can design, train, and refine neural networks on a GUI, allowing you to deploy solutions using neural networks.

• Other analyses
• Analysis Services
• Technical Seminar

[Speaker] Yuichi Murakami Director, Automotive Sector, Deloitte Tohmatsu Consulting LLC [Key Lecture Content] In the automotive industry, which is undergoing a once-in-a-century transformation, "SDV: Software Defined Vehicle" will play a central role in this change. However, the term "SDV" encompasses diverse meanings, leading to varying interpretations and resembling a buzzword. In this lecture, we will explore the true digital transformation (DX) in the automotive industry encapsulated by the term "SDV," starting from the changes in the value provided by automobile manufacturers, namely "the car (what is produced)," and including both "changes in how it is made" and "changes in how it is used." We will provide a comprehensive examination of the impact of digital technology on the automotive industry and the points of transformation. [Lecture Topics] 1. Changes in usage - Shifts in user values 2. Changes in what is produced (the car) - Software and digitalization of vehicles 3. Changes in how it is made - Software-based vehicle development 4. Changes in the supply chain 5. Changes in business viability 6. Q&A / Business card exchange

[Lecturers] Masaki Mochimaru, Fellow, National Institute of Advanced Industrial Science and Technology Masato Komiya, CEO, d-strategy, inc. / CEO, Third Ecosystem, inc. Masato Komiya, Specially Appointed Associate Professor, Data Science Research Institute, Tokyo International University [Key Lecture Content] The decrease in the labor population due to declining birth rates and aging society, along with the increasing burden of nursing care and rehabilitation, presents business opportunities. There is growing attention on the approach of "human augmentation," which not only involves complete automation through AI and robots but also enhances human capabilities. In particular, the "interverse" business, where people connect with virtual spaces to transcend time and space constraints and extend value into the real world, is expected to thrive. The lecture will introduce the latest trends through examples of collaboration with companies and national projects. [Lecture Items] 1. Human Augmentation 2. XR 3. Service Transformation in Manufacturing 4. Metaverse 5. Virtual Economy 6. Q&A / Business Card Exchange

[Speaker] Abeam Consulting Co., Ltd. Supply Chain Sustainability Unit Principal Shiro Komatsu Digital Technology Business Unit Artificial Intelligence Leap Sector Senior Expert Miho Yoshida [Key Lecture Content] In response to the rapid changes and complexities in the current business environment, procurement organizations need to break away from their downstream positioning and become a strategic function that leads company-wide reform and corporate value. This seminar will redefine the ideal state that procurement should aim for and the challenges that need to be overcome, introducing the possibilities of business reform utilizing AI agents/solutions along with specific case studies. We will explain the latest AI capabilities such as automated quotation assessment and automated delivery date adjustments, clarifying what your company should do now to strengthen procurement in light of your current situation. [Lecture Items] 1. The ideal state that procurement should aim for and the current situation - Case studies of procurement reform 2. What AI agents/solutions can achieve - Including case study presentations 3. Towards realizing the strategic function of the procurement department 4. Q&A / Business card exchange

[Speaker] Tadakazu Arakawa, Professor Emeritus, The University of Tokyo / Vice President, World Wind Energy Association [Key Lecture Content] After an overview of wind power generation, the latest information on the business trends and technological developments of offshore wind power generation, which has become one of the main power sources, will be explained. Based on the Renewable Energy Sea Area Utilization Act, operators have been determined for offshore wind power projects up to Round 3, and there has been significant progress in expanding into vast Exclusive Economic Zones (EEZ). On the other hand, due to international material shortages and rising prices stemming from issues like the Ukraine crisis, some operators have expressed the possibility of withdrawing from projects. In Japan, where there are no wind turbine manufacturers, discussions will be held on the healthy development and dissemination of offshore wind power towards the carbon neutrality policy by 2050. [Lecture Items] 1. Introduction to Wind Power Generation 2. Current Status of Offshore Wind Power Generation 3. Offshore Wind Power Projects Based on the Renewable Energy Sea Area Utilization Act 4. Technology and Wind Turbines in Offshore Wind Power Generation 5. Project Formation and Regional Promotion of Offshore Wind Power Generation 6. Progress of Japan's Offshore Wind Power Generation Aiming for Carbon Neutrality 7. Q&A / Business Card Exchange

The Management Game (MG) is a practical educational training program developed by Sony in 1976. It has a track record of approximately 5,000 companies and 1 million participants, primarily among large corporations. Through corporate management simulation (experiential learning), it enhances numerical ability and strategic thinking. Each participant takes on the role of a business owner, managing the company from its founding to its operation. They practice a series of management cycles, including decision-making, result analysis (financial statements), and planning. Participants not only create P/L and B/S but also learn strategic accounting (criteria for profit generation), conduct management analysis, and draft the next management plan (strategic plan). The program combines "practical exercises" and "lectures" to achieve high learning effectiveness.