AI case studies in {region}






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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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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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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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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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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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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.
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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.
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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.
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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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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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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.
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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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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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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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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
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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.
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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.
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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.
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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.
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PKSHA Technology uses Microsoft 365 Copilot to enhance team efficiency by speeding up meeting preparations, data analytics, and ideation. This helps them release products faster, create better sales presentations, and improve customer management.
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ITOCHU transformed its FOODATA dashboard by integrating Azure OpenAI Service and Azure AI Studio, powered by Microsoft Fabric for data aggregation and cleansing, to automatically generate evidence-based product proposals. They implemented a dedicated proof-of-concept through a cross-company task force and a partnership with Headwaters, assembling SQL-driven data and leveraging retrieval-augmented generation for comprehensive analysis. This integration streamlines product planning by reducing manual data analysis and drafting, enabling managers to quickly evaluate multiple proposal drafts.
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Carrefour implemented an AI sommelier service by integrating a language model into their customer service robots, enabling quick and personalized wine recommendations. The system analyzes customer sentiments and queries to provide tailored suggestions, thereby streamlining the in-store wine selection process and enhancing customer service.
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Gupshup.io's CX Product Suite 'Converse' is now powered by ACE LLM, domain-specific models fine-tuned for enterprise-grade conversations based on Meta's Llama 2. This enhances their offerings in customer acquisition, marketing, commerce, and support.
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Chi Mei Medical Center in Taiwan implemented AI copilots built with Microsoft's Azure OpenAI Service to assist doctors, nurses, pharmacists, and nutritionists in their daily tasks. The copilots summarize patient information from multiple databases into a single interface, automate report generation, and provide personalized patient education materials. This has reduced the time spent on documentation, allowing staff to see more patients and spend more quality time with them.
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MHI implemented TOMONI TALK with ChatGPT by leveraging Microsoft Azure OpenAI Service to automate tasks such as summarization, translation, and draft generation. They built a low-code prototype, conducted an in-house hackathon, and partnered with Zen Architects to integrate a tailored Retrieval Augmented Generation approach using Azure AI Search and robust data management. This solution streamlined internal communication, maintenance, and decision-making processes in power plant operations.
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HDFC ERGO built two pioneering superapps – "Here." for consumers and "1Up" for insurance advisors – that centralize insurance services using AI. They implemented BigQuery as an autoscaling data lake to consolidate 20 years of legacy data and integrated 300+ API services through Apigee to enable seamless partner communication. Additionally, they deployed Vertex AI and Cloud Natural Language API to deliver context-sensitive nudges and conversational assistants, transforming customer engagement, policy management, and claims analytics across the insurance value chain.
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10BedICU uses OpenAI’s API to enhance India’s critical care infrastructure. It developed tools like CARE Scribe, which transcribes doctor-patient interactions into EMR entries in multiple languages, reducing data entry time by over 50%, CARE Device Connect, which integrates data from older hospital monitors, and CARE Discharge Summary, which automates patient record summaries, improving healthcare delivery in underserved communities.
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Hitachi embedded Microsoft’s generative AI tools—including Azure Open AI Service, Copilot for Microsoft 365, and GitHub Copilot—into its Lumada Solutions and JP1 Cloud Services to automate mission-critical system development, enhance customer service with faster alert response times, and improve predictive maintenance for rail infrastructure. They implemented these integrations across multiple business workflows and launched a comprehensive training program for over 50,000 GenAI Professionals to upskill 270,000 employees, driving measurable improvements in productivity and operational efficiency.
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Sarvam AI specializes in developing AI solutions for Indic languages. They developed a Hindi Large Language Model by extending Meta's Llama 2 in partnership with AI4bharat. The model aims to deliver GPT-3.5-like performance on Indic languages under compute and data constraints, achieving high performance on a frugal budget.
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Strategy teams at Paytm draft market landscape insights to inform their roadmaps.
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