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Use case
Efficient data handling
Context

LY Corporation leveraged OpenAI’s API to integrate advanced generative AI into its flagship services, including a GPT‑4o-powered LINE AI Assistant and GPT‑4 enhancements in Yahoo! JAPAN Search for summarizing reviews and generating travel plans. They also deployed SeekAI, an in-house productivity tool using RAG to rapidly retrieve information from internal documentation, streamlining employee inquiries and operations.

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2
Use case
AI integration on mobile
Context

OPPO integrated Google Cloud’s Vertex AI, AutoML, and Gemini large language model into its mobile devices to automate user feedback analysis, power AI Recording Summary features, and enable AI Toolbox functionalities such as AI Writer and AI Reply. They re-engineered their hardware platform, operating system, and third-party ecosystem to embed AI agents that optimize power consumption and reduce computing latency, streamlining mobile development workflows and enhancing user experience.

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4
Use case
Rapid, culturally-aware support
Context

SK Telecom integrated Anthropic's Claude on the Amazon Bedrock platform to power both in-call assist and post-call processing solutions. They implemented a custom in-house RAG model combined with real-time document search and automated summarization, classification, and sentiment analysis to augment call center operations and support culturally nuanced customer interactions.

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2
Use case
Simplified listing process
Context

Mercari integrated OpenAI’s API with a multi-model approach to optimize product listings. Initially, GPT‑4 analyzed top listings offline while GPT‑3.5 Turbo provided real-time suggestions for active listings. Later, they shifted to GPT‑4o mini to automatically generate complete titles, descriptions, and category suggestions from uploaded photos, streamlining the seller listing workflow.

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1
Use case
Faster manga translation
Context

Orange uses Anthropic's Claude to automate manga translation, combining translation agent models with inpainting technology and direct image input to handle visual elements, streamlining localization and allowing translators to focus on nuance.

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3
Use case
Simplified security operations
Context

Integrated Microsoft 365 E5 platform with Microsoft Security Copilot to automate and centralize incident response, authentication, and security monitoring across multiple digital tools.

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1
Use case
Faster legal research & document preparation
Context

Law&Company, a legal technology firm in South Korea, uses Anthropic's Claude and Claude 3.5 Sonnet to power SuperLawyer, the country's first AI legal assistant. SuperLawyer helps lawyers automate routine tasks such as legal research, document drafting, case law summarization, and compliance checking. By implementing a Retrieval Augmented Generation (RAG) system and leveraging Claude's function-calling capabilities, SuperLawyer provides accurate and efficient legal support, allowing lawyers to focus on high-value tasks.

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2
Use case
Scalable, compliant superapp
Context

Wrtn Technologies leveraged Microsoft's Azure OpenAI Service with its newest o1 models to power a localized AI superapp, integrating features such as intelligent search, conversational chat, and code generation into its platform. They implemented the solution by incorporating Azure AI Foundry and Azure AI Content Safety to ensure secure data residency and regulatory compliance, streamlining both consumer interactions and internal development workflows.

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3
Use case
Timely farm interventions
Context

The project integrated on-farm sensors, satellite imagery, and historical crop data using Microsoft’s Azure Data Manager for Agriculture platform to monitor weather, soil, and nutrient conditions. FarmVibes.ai processed these data inputs and Microsoft Azure OpenAI Service translated technical details into simple, daily actionable alerts delivered via the Agripilot.ai mobile app in local languages. This solution improved decision-making in irrigation, fertilization, and pesticide application to optimize harvest timing for peak sucrose levels.

Models/tools
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2
Use case
Efficient customer onboarding
Context

Mystifly partnered with Google Cloud to develop Mystic, an AI-powered chatbot that leverages Vertex AI Agent Builder to understand complex airline industry queries. They implemented an internal system by indexing PDFs stored in Google Cloud Storage into an unstructured datastore for quick retrieval and integrated Dialogflow CX with Cloud Functions for seamless escalation. This solution automated customer onboarding and support workflows for their SSP Manager platform by enabling travel agents to resolve configuration questions independently.

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2
Use case
Timely tutor support
Context

Universitas Terbuka implemented an AI tutor by integrating Azure OpenAI Service and Azure AI Foundry within its customized Moodle LMS. The solution involved indexing course materials and grading rubrics using Azure AI Document Intelligence, employing Azure AI Vision for OCR-based assessments, and deploying through a scalable microservices architecture using AKS and Azure App Service. This integration streamlined student assessments and reduced educator workload by automating repetitive queries.

Models/tools
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4
Use case
Unified access to startup resources
Context

Cradle Fund, a Malaysian government agency supporting startups, built an AI-driven chatbot powered by Azure OpenAI Service on their MYStartup Single Window platform. The chatbot provides instant answers to user queries, offers personalized assistance, and enhances user engagement by analyzing queries and providing accurate responses around the clock without human intervention.

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1
Use case
Streamlined meeting management
Context

Cathay Pacific Airways integrates Microsoft 365 Copilot to enhance efficiency and customer experiences. Copilot automates routine tasks, helps employees work smarter, streamlines meetings by summarizing highlights and action items, and condenses lengthy reports into concise summaries, freeing up time for strategic activities.

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2
Use case
Automate mapping data processing
Context

Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI’s GPT-4 with vision fine-tuning to process millions of street-level images collected from drivers, enabling it to accurately identify traffic signs and lane dividers and reduce manual mapping labor. This approach yields more reliable, hyperlocal map data that supports their ride-hailing, delivery services, and enterprise clients.

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1
Use case
Faster powertrain innovation
Context

Toyota deployed a system named O-Beya integrating nine specialized AI agents powered by GPT-4o to capture and consolidate decades of engineering expertise. The solution leverages Microsoft Azure OpenAI Service with API integration via Azure Functions and a vector search–enabled Cosmos DB to process design reports, regulatory data, and handwritten documents, streamlining powertrain design workflows and preserving expert knowledge amid retirements.

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1
Use case
Improving customer support efficiency
Context

Air India, India's flagship airline, uses Azure OpenAI Service and Azure AI tools to develop AI.g, a virtual assistant that enhances customer support with a multi-modal AI platform integrated with their back-end systems.

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5
Use case
Protecting customer privacy in personalized recommendations
Context

Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.

Models/tools
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1
Use case
Low AI adoption
Context

WRTN uses Claude to power natural, engaging character interactions and creative storytelling for millions of users across Asia. They aggregate AI services across companionship, entertainment, and productivity to make advanced AI technology accessible to everyday users in South Korea and Japan.

Models/tools
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1
Use case
Adaptive robot control
Context

Denso developed human-like autonomous robots by integrating Azure OpenAI Service for natural language understanding with Azure AI for voice recognition to enable flexible, dialogue-driven control of robotic movements. They employed GitHub Copilot to rapidly generate and refine control code and created a unique verification tool for adjusting robot functions based on real-world inputs. This integration transformed traditional pre-programmed workflows into dynamic systems supporting human-robot collaboration in diverse operational settings.

Models/tools
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3
Use case
Manual video risk management
Context

Lytehouse implemented an AI-based video intelligence system that transforms live CCTV feeds into actionable workplace safety insights by leveraging advanced computer vision, machine learning algorithms, and generative AI agents. They integrated large language models to enable natural language queries and collaborated with Google Cloud via the Vertex AI platform to deploy customized security agents that automate risk detection and alert workflows across existing camera networks.

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3
Use case
Personalizing online education
Context

Arivihan, an online learning platform in India, uses Meta’s Llama to generate personalized answers, as well as lectures, for students.

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1
Use case
Optimizing video game marketing
Context

Square Enix, a Japanese video game publisher, is using Google’s AI solutions and its own customer data to develop AI-optimized marketing assets to keep its gamers engaged, sharing personalized emails suited to each player’s preferences.

Models/tools
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Use case
Customizing product photos for markets
Context

Puma uses Imagen (Google’s image generator) to customize product photos on its website, ensuring they’re locally relevant across markets.

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1
Use case
Streamlining construction project insights
Context

Gamuda Berhad, a Malaysian infrastructure and property management company, has integrated a Gemini-powered conversational agent into its cloud-based Tunnel Insight platform.

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1
Use case
Enabling voice-activated transactions
Context

Gojek (a “super app” similar to Uber but for Indonesia) uses AI to allow customers to use voice commands to complete things like bill payments and money transfers.

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Use case
Unified operational systems
Context

Custom implementation of Microsoft Dynamics 365 suite integrated with Power BI for real-time analytics and unified workflows, replacing siloed manual systems within a 12-month rollout

Models/tools
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3
Use case
Faster coding process
Context

GoTo Group partnered with Microsoft Indonesia to integrate GitHub Copilot into its engineering workflow. They implemented the AI tool within developers’ IDEs to provide real-time code suggestions, conversational assistance, and syntax error corrections, thereby streamlining code writing and reducing repetitive tasks. The rollout involved close collaboration with Insight and iterative feedback from nearly 1,000 engineers to optimize software development processes.

Models/tools
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1
Use case
Automated repetitive tasks
Context

Lotte Hotels & Resorts used Microsoft's Power Platform, including Power Automate, Power Apps, Power Pages, and Azure OpenAI Service, to automate repetitive tasks and empower employees as citizen developers. By providing an eight-week training program, employees learned to create their own RPA solutions, automating tasks such as manual data entry in reservation systems and database refinement, leading to increased efficiency and productivity.

Models/tools
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4
Use case
Online-offline integration
Context

Cainz implemented Google Cloud’s BigQuery and Vertex AI to automatically capture and analyze product scan data for real-time demand forecasting and streamlined warehouse management across its 230 stores. They further integrated the Gemini generative AI model to automate product description creation, thereby merging digital and physical retail channels and reducing repetitive tasks for store associates.

Models/tools
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3
Use case
Enhancing customer service efficiency
Context

Rakuten uses OpenAI’s models to leverage its vast data assets for improving customer service, extracting value from unstructured data, and enhancing B2B consulting. By implementing RAG (retrieval-augmented generation), they drastically improve response times for customer service, develop shopping review summarization features, and empower merchants with actionable insights.

Models/tools
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