Business Use Cases

AI-summarized articles on corporate generative AI adoption cases, ROI and project results.

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Cloud Watchby 石井 一志10/16/2026
AI summary

NTT-AT launched 'RelAi Window Assistant', a generative AI solution to support local government counter operations, starting on October 15.

  • •The company released the solution as the second product under its AI brand 'RelAi' to assist staff in local government counter duties.
  • •The service launch date was announced as October 15.
  • •The product was developed based on insights gained from a pilot experiment conducted in Katsushika Ward.
#Business Use Cases#Generative AI Tools & Use
CodeZine10/16/2026
AI summary

With AI making code development faster for everyone, the value of product managers now lies in leveraging 10 years of accumulated business data assets.

  • •AI has multiplied the throughput of writing code, making speed of development no longer a competitive advantage.
  • •jinjer's CPO, Matsuyama, states that the role of product managers is becoming homogenized.
  • •The 'solid data' accumulated over 10 years, such as automatic attendance records, is the key differentiator for the future.
#Business Use Cases#Generative AI Tools & Use
CodeZine10/16/2026
AI summary

JTB Group integrated financial systems of 54 companies into Oracle Fusion Cloud to build an AI-ready foundation.

  • •The integration of 54 companies' systems took about 3.5 years, adhering to a Fit to Standard approach with 95% standard function utilization.
  • •This refresh realized an 'AI-Ready' foundation capable of accepting AI agents.
  • •Project leaders discussed the current status of operations and AI utilization at the Oracle AI Forum.
TechCrunchby Lucas Ropek10/16/2026
AI summary

Cal AIが2年間で3,000万ドル以上の売上を上げ、3月にMyFitnessPalに売却された背景として、インフルエンサーによるプロモーションが寄与した

  • •同社は2年間で3,000万ドル以上の売上を記録した
  • •3月にMyFitnessPalにより非公開の金額で買収された
  • •バイラルな成功にはインフルエンサーの活用が成果を上げた
#AI Companies & Funding#Business Use Cases
ITmedia AI+10/16/2026
AI summary

Umios (formerly Maruhan Nichiro) automated monthly sales planning, reducing manual work by approximately 4,200 hours annually.

  • •Monthly sales planning tasks previously done manually across all branches were automated.
  • •The company expects to reduce work by about 4,200 hours annually across all branches in the business logistics division.
  • •The initiative aims to move away from relying on experience and intuition in traditional business processes.
#Business Use Cases#Generative AI Tools & Use
CodeZine10/16/2026
AI summary

The article explains how to perform predictive analysis using scikit-learn within Excel, executing regression, classification, and clustering to return predictions to the spreadsheet.

  • •Use scikit-learn to perform regression analysis for sales forecasting
  • •Conduct classification and clustering for churn risk assessment and group segmentation
  • •Execute the analysis within an Excel workbook and return the predicted values to the sheet
#Generative AI Tools & Use#Business Use Cases
Hacker NewsHN submitter: thomas_unise10/16/2026
AI summary

New research from Bold Agent Kit shows human receptionists achieved approximately four times stronger inbound conversion than AI, despite AI handling more calls.

  • •New research from Bold Agent Kit reveals that human receptionists delivered stronger inbound intake conversion performance than AI.
  • •Human receptionists achieved approximately four times the conversion rate, even though AI answered a higher volume of calls.
  • •The study analyzed 14,000 calls to compare the performance of humans and AI in call center settings.
#Generative AI Tools & Use#Business Use Cases
INTERNET Watchby 渡邊 悠太10/16/2026
AI summary

At CEATEC 2026, the presidents of JEITA and JAMA held a dialogue discussing co-creation and talent and manufacturing in the AI era.

  • •The dialogue took place at CEATEC 2026, held from October 13 to 16 at Makuhari Messe.
  • •Taka Akino, President of JEITA, and Tsuneji Sato, President of JAMA, participated in the discussion.
  • •They discussed co-creation for Japan's future society, as well as talent and manufacturing in the AI era.