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  3. ソニーネットワークコミュニケーションズ 本社
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ソニーネットワークコミュニケーションズ 本社

addressTokyo/Minato-ku/1-7-1 Kounan
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The essence of "Ringi" to realize the introduction of AI tools.

Prediction One provides detailed information on how to implement AI tools!

We are currently distributing "The Essentials of 'Ringi' to Achieve the Introduction of AI Tools." It includes topics such as "How to Promote the Introduction of AI Tools," "The Essentials of Ringi and Worksheets," and "What is Prediction One?" Please be sure to apply through the form in the related link. 【INDEX】 1. How to Promote the Introduction of AI Tools 2. The Essentials of Ringi and Worksheets 3. What is Prediction One 4. Learn More in Detail 5. Company Overview *For more details, please refer to the PDF document or feel free to contact us.

  • Store Analysis System

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The concept of "Human-in-the-Loop" necessary for AI projects.

We are publishing information about case studies, service introductions, and the causes that hinder the application of AI in business!

We are currently distributing a document titled "What are the Tips for Applying AI to Business as Seen in Successful Cases? The Concept of 'Human-in-the-Loop' Necessary for AI Projects." It includes information on "Causes that Hinder the Application of AI in Business," "Examples of AI Project Failures," and "What is Human-in-the-Loop," among other topics. Please feel free to apply using the form linked in the related links. 【INDEX】 1. Causes that Hinder the Application of AI in Business 2. Examples of AI Project Failures 3. What is Human-in-the-Loop 4. Introduction of Cases 5. Service Introduction 6. Company Overview *For more details, please refer to the PDF document or feel free to contact us.

  • Store Analysis System

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The Power of Property Value Prediction: The Key to Streamlining Research and Development and Enhancing Competitiveness

Introducing services and features, as well as topics and explanatory variables for predictions!

We are currently distributing "The Key to Streamlining Research and Development in 'Predictive Value Forecasting' and Enhancing Competitiveness." It includes topics such as "Streamlining Research and Development in Predictive Forecasting and Its Benefits," "Forecasting Themes and Explanatory Variables," and "Introduction of Case Studies." Please be sure to apply using the form available in the related links. 【INDEX】 1. Streamlining Research and Development in Predictive Forecasting and Its Benefits 2. Forecasting Themes and Explanatory Variables 3. Introduction of Case Studies 4. Introduction of Services and Functions 5. Company Overview *For more details, please refer to the PDF document or feel free to contact us.

  • Store Analysis System

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The Path to Smooth Predictive Analysis: A Mindset Guide Before Data Analysis

Organizing Your Mindset! Tips for Smooth Predictive Analysis Introduced in a Column

The theme of this article is about the important mindset when conducting predictive analysis. For those who have prepared their data but are unsure how to start predictive analysis, this article is a must-read. Let's explore the secrets to smooth predictive analysis together with beginners in pre-analysis and data scientists. *You can view the detailed content of the column through the related links. For more information, please feel free to contact us.*

  • Store Analysis System

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What is the difference between generative AI and predictive AI? We will also introduce business applications.

Incorporate AI into your business to improve operational efficiency! We will also introduce the new hint feature.

"What are the differences between generative AI and predictive AI?" "Can predictive analysis be done using the popular ChatGPT?" I have summarized these questions in a way that can be understood in three minutes. I will also introduce a new feature of 'Prediction One' that enhances prediction accuracy using generative AI, the "Hint Function." This article is aimed at those who are considering incorporating AI into their business to improve operational efficiency and differentiate themselves from competitors. At the end of the column, you can also download helpful materials for free, so please take a look. *You can view the detailed content of the column through the related links. For more information, feel free to contact us.*

  • Store Analysis System

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[Case Study] YKK AP Corporation

Improving accuracy further with AI implementation! Introducing examples of startup programs that have been conducted.

We would like to introduce a case study of the implementation of "Prediction One" at YKK AP Corporation. The company felt challenged by the fact that predictions were becoming personalized, leading to differences in operational efficiency and accuracy among the staff members. The error rate during the trial period was less than 10%. Moving forward, we will verify the gaps between the predictions made by the staff responsible for operations on-site. 【Case Overview】 ■Challenges - Personalization of operations based on experience, intuition, and courage - Concentration of operational burden due to high levels of personalization ■Effects - Error rate of less than 10% during the trial implementation *For more details, please refer to the PDF document or feel free to contact us.

  • Store Analysis System

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[Case Study] Toho Confectionery Co., Ltd.

Production planning using a dual approach of human experience and AI! Here we introduce a case where the AI literacy of our internal members has improved.

We would like to introduce a case study of the implementation of "Prediction One" at Tohto Co., Ltd. The company had been relying on the experience and intuition of long-term staff for production planning, which resulted in low planning consistency due to varying reports from different individuals. After the implementation, business hours were reduced, and the AI literacy of internal members improved. [Case Overview] ■Challenges - Production planning reliant on human experience and intuition ■Effects - Reduction in business hours - Improvement in AI literacy among internal members *For more details, please refer to the PDF document or feel free to contact us.

  • Store Analysis System

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[Case Study] Sunstar Inc.

Utilized in R&D material development! Introducing examples of promoting business efficiency and rapid product development.

We would like to introduce a case study of the implementation of "Prediction One" at Sunstar Inc. The company had a challenge of wanting to reduce the time, effort, and costs associated with preservative efficacy testing. After implementation, they promoted operational efficiency and rapid product development. 【Case Overview】 ■Challenge - Reduction of time, effort, and costs related to preservative efficacy testing ■Effect - Promotion of operational efficiency and rapid product development *For more details, please refer to the PDF document or feel free to contact us.

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[Case Study] Sumitomo Heavy Industries Ion Technology Co., Ltd.

Introducing examples of decision-making based on the concept of Human-in-the-Loop.

We would like to introduce a case study of the implementation of "Prediction One" at Sumitomo Heavy Industries Ion Technology Co., Ltd. The company faced challenges such as time-consuming analysis, the inability to perform the same tasks without experience, and differing analysis results among employees. After the implementation, they significantly reduced analysis time and were able to quickly prepare accurate data for discussions. 【Case Overview】 ■Challenges - Personalization of analysis tasks - Creating an environment that allows focus on value-added tasks ■Effects - The time previously spent on predictions was replaced by AI, increasing the time available to delve deeper into issues. *For more details, please refer to the PDF document or feel free to contact us.

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[Case Study] AGC Inc.

Implemented changes to the tool's operation method! Achieved a reduction in the burden on the department responsible for unforeseen resource issues.

At AGC Inc., as part of our internal DX initiatives, we adopted 'Prediction One' to implement changes in the operation of tools, thereby reducing the burden on the DX department. Before the implementation, the DX department lacked sufficient resources to promote internal DX. As a result of introducing this product, while some preprocessing was implemented by the DX department, subsequent changes could be made by the on-site personnel themselves, allowing for a change in operations. [Implementation Overview (Partial)] ■Challenges - The DX department lacked sufficient resources to promote internal DX. ■Problem Setting for Predictive Analysis - We wanted to promote DX with a tool that anyone could easily use. *For more details, please refer to the PDF document or feel free to contact us.

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[Case Study] Bell System 24, Inc.

Adopted as part of in-house DX! Objective and high predictive analysis of each KPI is now possible.

We would like to introduce a case study of the implementation of "Prediction One" at Bell System 24, Inc. The company was utilizing Excel for data analysis and introduced the solution to address the challenge of handling large volumes of data. As a result, they were able to conduct highly accurate analysis regarding the "connection rate," which measures whether customers were successfully connected by phone, and it received positive feedback from the field. 【Implementation Overview (Partial)】 ■Challenges - They were using Excel for data analysis but were unable to handle large volumes of data. - Call volume forecasting was based on experience and remained subjective. ■Problem Setting for Predictive Analysis - To eliminate subjectivity, they wanted to objectively predict and analyze each KPI using historical data. *For more details, please refer to the PDF document or feel free to contact us.

  • Traffic flow analysis system

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[Case Study] Sony Assurance Inc.

Improve the accuracy of call center incoming call forecasts! Contribute to the optimization of operator shift scheduling.

Sony Insurance Co., Ltd. has implemented "Prediction One" to solve its challenges. The company has identified that the number of incoming calls directly affects the adjustment of operators' shifts, making the improvement of incoming call prediction accuracy a crucial cost-related theme. When comparing the results of past predictions made by staff, it was found that predictions made with this product were more accurate, contributing to the optimization of operators' shift assignments. [Case Summary] ■Challenge - Improving the accuracy of incoming call predictions is a key cost-related theme. ■Prediction Analysis Problem Setting - Based on past data of incoming call numbers, we want to predict the number of incoming calls for each day and time slot. ■Results - Contributed to the optimization of operators' shift assignments. *For more details, please refer to the PDF document or feel free to contact us.

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[Case Study] SRE Holdings Corporation

Predict the strength of each customer's needs from the data! Streamline sales activities and improve contract acquisition rates.

We would like to introduce a case study of the implementation of "Prediction One" at SRE Holdings Corporation. The company had not been able to streamline its processes because each organization was independently determining the criteria for selecting customers to approach based on their own experiences. As a result of the implementation, they were able to predict the strength of each customer's needs from the data, allowing them to prioritize which customers to approach. [Case Overview (Partial)] ■Challenges - Each organization was independently determining the criteria for selecting customers to approach - Inefficiencies were present ■Problem Setting for Predictive Analysis - We wanted to predict the completion of transactions for each customer based on past consulting performance data *For more details, please refer to the PDF document or feel free to contact us.

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About the features of Prediction One.

Simple and easy, with understandable reasons for predictions! Even employees from non-technical backgrounds can perform advanced predictive analysis.

We would like to introduce the features of "Prediction One," which can perform advanced predictive analytics. Even without expertise or experience in predictive analytics, it can be easily and smoothly utilized, requiring only 6 clicks from learning to analysis, with a processing wait time of 4 minutes. The impact of each item is visualized, making the reasons for predictions clear. Additionally, it can operate in various environments. 【Features】 ■ Simple and easy to use ■ Understandable reasons for predictions ■ Operates in various environments *For more details, please refer to the PDF document or feel free to contact us.

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The effects of issues and predictive analysis.

The application range of predictive analysis is broad, and it can be utilized in various situations such as human resources and research and development.

I will explain common challenges and the effects of predictive analysis. For example, in the HR challenge of wanting to "increase employee vacation uptake," I would like to implement prior follow-ups such as "promoting vacation uptake." In this case, it is possible to streamline the process by predicting "employees who will not meet their goals." In this way, predictive analysis can be utilized in various situations such as predicting equipment failures, sales activities, and marketing. 【Utilization Scenarios】 ■ Human Resources / Research and Development ■ Planning / Design ■ Procurement ■ Manufacturing ■ Marketing / Sales *For more details, please refer to the PDF document or feel free to contact us.

  • Traffic flow analysis system

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