Beyond OCR: How to Eliminate Errors in Document Processing AIと機械学習ブログデジタル化プラットフォームITサービステクノロジー Beyond OCR: How to Eliminate Errors in Document ProcessingTL;DR OCR performance drops sharply when documents contain handwriting, poor scan quality, complex layouts, or…Giang Do Huong24 7月 2026
Building AI-Powered APIs: Choosing Between REST, GraphQL, and gRPC AIと機械学習ブログデジタル化プラットフォームITサービステクノロジー Building AI-Powered APIs: Choosing Between REST, GraphQL, and gRPCTL;DR REST often fits public and partner-facing APIs because it works with conventional HTTP clients,…Dieu Anh Nguyen23 7月 2026
The Ultimate Guide to No-Code AI Platforms: How to Choose, Build, and Scale AI-Powered Apps Without Coding AIと機械学習アプリケーションエンジニアリングブログ The Ultimate Guide to No-Code AI Platforms: How to Choose, Build, and Scale AI-Powered Apps Without CodingTL;DR A no-code AI platform combines visual building, pre-built AI models, data connections, and deployment…Dieu Anh Nguyen23 7月 2026
The Document Stack: Where IDP Hands Off to Workflow Automation ブログFinance & BankingServiceテクノロジーWorkflow Automation The Document Stack: Where IDP Hands Off to Workflow AutomationTL;DR OCR converts document images into machine-readable text. IDP classifies documents, extracts information, and validates…Uyen Nguyen22 7月 2026
AI-Native Compliance: The Enterprise Advantage for RegTech Firms AI & Compliance AutomationAIの導入BFSI/フィンテックブログNORAテクノロジー AI-Native Compliance: The Enterprise Advantage for RegTech FirmsTL, DR: Enterprise compliance buyers no longer accept software that simply checks boxes. They expect…Phuong Linh Mai22 7月 2026
Ethical AI Development: Principles, Risks, Governance, and a Practical Implementation Framework AIと機械学習ブログ Ethical AI Development: Principles, Risks, Governance, and a Practical Implementation FrameworkTL, DR: Ethical AI is a lifecycle discipline, not a checklist. Controls belong at every stage,…Dieu Anh Nguyen22 7月 2026
AI Model Drift Detection and Retraining: A Production ML Maintenance Guide AIと機械学習ブログデジタル化プラットフォームITサービステクノロジー AI Model Drift Detection and Retraining: A Production ML Maintenance GuideTL;DR Monitor model outcomes, input data, predictions, calibration, cohorts, data quality, and business results. One…Dieu Anh Nguyen22 7月 2026
The Ultimate Guide to AI Proof of Concept (PoC): From Business Case to Go/No-Go Decision AIと機械学習ブログITサービス The Ultimate Guide to AI Proof of Concept (PoC): From Business Case to Go/No-Go DecisionTL;DR Define a specific business question: Use an AI PoC to test whether AI can…Dieu Anh Nguyen19 7月 2026
AI Model Training: A Practical Guide to Methods, Workflow, Tools, and Deployment AIと機械学習ブログサービス AI Model Training: A Practical Guide to Methods, Workflow, Tools, and DeploymentTraining determines whether an AI system delivers value or creates risk. This guide walks through…Dieu Anh Nguyen19 7月 2026
Application Management Services (AMS): What It Means, What It Includes, and How to Choose the Right Model ケーススタディメンテナンスとサポート Application Management Services (AMS): What It Means, What It Includes, and How to Choose the Right ModelTL;DR AMS definition: Application Management Services (AMS) provide ongoing support, maintenance, security, performance management, and…Dieu Anh Nguyen19 7月 2026
AI Tech Stack: A Practical Architecture Guide for Building, Deploying, and Operating AI Systems AIと機械学習ブログテクノロジー AI Tech Stack: A Practical Architecture Guide for Building, Deploying, and Operating AI SystemsTL,DR The AI stack should follow the business use case, not a list of popular…Dieu Anh Nguyen19 7月 2026
AI Bias and Fairness: Risks, Measurement, and Practical Strategies for Ethical AI AIと機械学習ブログITサービス AI Bias and Fairness: Risks, Measurement, and Practical Strategies for Ethical AITL, DR: AI bias is a systematic, repeatable pattern of unfair outcomes - not a…Dieu Anh Nguyen19 7月 2026