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AI Solutions Chaos Map for the Financial and Insurance Industry

AI Solutions Chaos Map for the Financial and Insurance Industry

Introducing 96 products that can be searched by industry-specific applications! Free gift.

This document categorizes the latest AI solutions for the financial and insurance industries into five major categories and organizes them into twelve subcategories, taking into account the latest trends in FinTech and InsurTech. It includes the latest solutions that cover the value chain of financial institutions and insurance companies, from risk management to revenue enhancement and back-office reform. The structure is designed to make it easier to find the optimal solutions based on the challenges and objectives within the industry. *For detailed content of the article, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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Cutting-edge AI Utilization for Local Governments and Public Services

Cutting-edge AI Utilization for Local Governments and Public Services

A Guide to Promoting DX to Survive the Era of Halved Staff in 2040! Free Distribution.

This document introduces AI-based solutions and successful examples for municipalities and public service providers facing serious challenges such as population decline and staff shortages. Looking ahead to 2040, when staff is expected to be halved, what kind of AI implementation is progressing on the ground to achieve stable and sustainable service delivery? It presents three practical use cases directly related to solving on-site issues, including the efficiency of resident responses through chatbots, the automation of nursery school admission selection using AI matching, and infrastructure inspections conducted by robots. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

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Regional AI Implementation Case Study Chaos Map

Regional AI Implementation Case Study Chaos Map

Introducing a total of 71 AI implementation cases categorized by 7 regional distinctions!

Aismiley Co., Ltd., which operates the AI portal media "AIsmiley," has released the "Regional AI Implementation Case Chaos Map" on June 4, 2025, which allows for an overview of the trends in AI adoption accelerating across municipalities and companies nationwide by region. The number of AI implementation cases is a total of 71. We conducted a survey of actual AI implementation cases from Hokkaido to Kyushu and Okinawa at the prefectural level. This document, organized by implementation location, purpose of use, and AI category, is structured to allow for a quick understanding of the differences and trends in initiatives by region. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.

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AI Utilization at the Forefront for the Financial and Insurance Industries in Securities

AI Utilization at the Forefront for the Financial and Insurance Industries in Securities

A Practical Guide to Implementing DX that Balances Customer Trust and Maximizing Revenue

In the securities industry, optimal portfolio proposals for clients' asset management are required. It is particularly important to pursue maximum returns while minimizing the risks of market fluctuations. By utilizing AI, it becomes possible to make highly accurate predictions based on the analysis of past data, enabling personalized portfolio proposals tailored to the needs of each individual client. 【Use Cases】 - Risk analysis and optimization of portfolios using AI - Proposals for asset allocation aligned with clients' investment goals - Real-time portfolio adjustments based on market trends 【Effects of Implementation】 - Increased customer satisfaction - Improved operational efficiency - Maximization of revenue opportunities

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What are the characteristics of AI agents? We are currently offering introductory materials on AI agents.

What are the characteristics of AI agents? We are currently offering introductory materials on AI agents.

Introducing a variety of features such as collaboration with multiple agents and the development of low-code and no-code solutions!

This document summarizes the features of AI agents. AI agents are capable of making autonomous decisions based on the situation and environment, managing tasks and priorities, and even self-managing resource allocation. They also possess continuous learning abilities aimed at improving performance while adapting to their environment, among many other features. Additionally, we provide explanations of what AI agents are, their types and roles, the benefits of implementing them, as well as an overview and step-by-step procedures related to AI agents. If you are interested, please feel free to download it. [Contents (partial)] ■ What is an AI agent ■ Features of AI agents ■ Types and roles of AI agents ■ Benefits of implementing AI agents ■ Overview and step-by-step procedures for AI agents *For more details, please download the PDF or feel free to contact us.

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