ソニーネットワークコミュニケーションズ List of Products and Services

We are currently distributing "The Essentials of 'Ringi' for Implementing AI Tools." It includes information on "How to Promote AI Tool Implementation," "The Essentials of Ringi and Worksheets," and "What is Prediction One," among other topics. Please be sure to apply through the form available in the related links. 【INDEX】 1. How to Promote AI Tool Implementation 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.

• Business Intelligence and Data Analysis

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 through 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.

• Business Intelligence and Data Analysis

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 feel free 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.

• Business Intelligence and Data Analysis

The theme this time is about the important mindset when conducting predictive analysis. This article is for those who have prepared their data but are wondering how to start predictive analysis. Let's explore the secrets of smooth predictive analysis together with beginners 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.*

• Business Intelligence and Data Analysis

"What are the differences between generative AI and predictive AI?" "Can predictive analysis be done using the popular ChatGPT?" I have summarized these questions so that you can understand them in three minutes. I will also introduce the new feature of 'Prediction One' that enhances prediction accuracy using generative AI, the "Hint Feature." 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 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.

• Business Intelligence and Data Analysis

We would like to introduce a case study of the implementation of "Prediction One" at YKK AP Corporation. The company recognized the challenge of having predictions that were personalized, leading to differences in operational efficiency and accuracy among different personnel. During the trial phase, the error rate was less than 10%. Moving forward, we will verify the gaps between the predictions made by the personnel conducting operations on-site. 【Case Overview】 ■Challenges - Personalization of operations based on experience, intuition, and courage - Concentration of operational burden due to high 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.

• Business Intelligence and Data Analysis

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.

• Business Intelligence and Data Analysis

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 associated with 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.

• Business Intelligence and Data Analysis

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.

• Business Intelligence and Data Analysis

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 field 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 want to promote DX with a tool that anyone can easily use. *For more details, please refer to the PDF document or feel free to contact us.

• Business Intelligence and Data Analysis

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 but faced challenges in handling large volumes of data, which led to the implementation of the solution. As a result, they were able to conduct highly accurate analyses of 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 from past data. *For more details, please refer to the PDF document or feel free to contact us.

• Business Intelligence and Data Analysis

Sony Insurance Co., Ltd. has implemented "Prediction One" to solve its challenges. The company considers improving the accuracy of call volume predictions to be a key cost issue, as the number of incoming calls directly affects the adjustment of operator shifts. 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 operator shift assignments. [Case Overview] ■Challenge - Improving the accuracy of call volume predictions is a key cost issue. ■Problem Setting for Predictive Analysis - Based on past actual data of incoming calls, we want to predict the number of calls for each day and time period. ■Results - Contributed to the optimization of operator shift assignments. *For more details, please refer to the PDF document or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to introduce a case study of the implementation of "Prediction One" at SRE Holdings Corporation. The company was unable to achieve efficiency because each organization independently determined the criteria for selecting customers to approach based on their own experiences. As a result of the implementation, it became possible to predict the strength of each customer's needs from the data, allowing for the selection of customers to approach as a priority. 【Case Overview (Partial)】 ■Challenges - Each organization independently judged the criteria for selecting customers to approach - Efficiency was not achieved ■Problem Setting for Predictive Analysis - We want 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.

• Business Intelligence and Data 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.

• Business Intelligence and Data Analysis

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 preliminary support such as "promoting vacation uptake." In this case, it is possible to streamline the process by predicting "employees who are likely to miss their targets." In this way, predictive analysis can be utilized in various situations, such as predicting equipment failures, sales activities, and marketing. 【Utilization Areas】 ■ 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.

• Business Intelligence and Data Analysis