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Use case
Fast registration & safety
Context

704 Apps implemented an AI solution using Vertex AI and Gemini 1.5 Pro to automate and accelerate driver identity verification and safety monitoring. They integrated these AI models into their existing cloud infrastructure built on Firebase and Google Kubernetes Engine, centralizing real-time data for document validation and audio sentiment analysis. The system alerts the central monitoring team when risk-related language is detected, streamlining operational decision-making and enhancing security.

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Use case
Scalable customer support
Context

Nubank implemented a custom AI-driven enterprise search solution by integrating GPT‑4o and GPT‑4o mini with fine-tuned domain-specific models and Retrieval-Augmented Generation techniques, enabling employees to access FAQs, policies, and internal documents rapidly. They also developed a call center copilot using GPT‑4o that integrates the bank’s knowledge base and chat history to provide real-time conversation summaries, next-reply suggestions, and step-by-step guidance for agents, and launched an AI assistant to handle Tier 1 inquiries. Furthermore, Nubank piloted a fraud quality assurance system using GPT‑4o vision to analyze transactions and visual data, ensuring robust fraud detection according to regulatory requirements.

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3
Use case
Automated digital marketing
Context

Advolve, a B2B SaaS company, uses Claude from Anthropic as the central orchestrator of their AI platform to automate digital marketing across multiple platforms. Claude enables them to manage millions of ads simultaneously, automate workflows, generate creative assets and copywriting, and dynamically allocate budgets for optimal return on ad spend.

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Use case
Scalable, cost-efficient platform
Context

Wited revamped its learning platform by partnering with Google Cloud and Axmos Technologies to migrate from legacy systems to a robust infrastructure using Cloud SQL, Cloud Storage, Compute Engine, and Google Kubernetes Engine, ensuring reliable scalability and stability for high user demand. They then integrated generative AI by deploying Gemini and Vertex AI to power Max AI—a 24/7 virtual assistant that supports students through real-time assistance and educational guidance—thereby streamlining support processes and enabling the team to focus on innovation.

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Use case
Managing high message volumes
Context

Zapia, an AI assistant developed by BrainLogic, uses Anthropic's Claude on Google Cloud’s Vertex AI to engage in natural, localized conversations with Latin American consumers via messaging apps like WhatsApp. Claude's advanced multilingual support and understanding of regional dialects enable Zapia to assist users in discovering products, making purchases, and receiving support. Integration was quick, requiring minimal prompt engineering, allowing Zapia to scale rapidly to handle hundreds of thousands of messages per hour.

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Use case
Grading and admin automation
Context

SEDUC implemented Azure OpenAI Service to automatically analyze millions of student essays for personalized, multidimensional feedback, significantly reducing manual grading efforts. They integrated Microsoft Copilot into their administrative workflows to automate content creation, legal document generation, payroll processing, and student registration while upholding strict data security and responsible AI practices.

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Use case
Automate repetitive tasks
Context

Localiza, a leading mobility company in Latin America, implemented Microsoft 365 Copilot to automate processes and improve efficiency. By integrating AI into their workflows, they enhanced employee productivity, optimized repetitive manual tasks, and improved inclusivity. They conducted training and hackathons to help employees effectively use Copilot, resulting in significant productivity gains across the company.

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Use case
Unified data access
Context

Copel integrated Gemini Pro 1.5 to power a virtual agent that directly interfaces with their on-premises SAP ERP system using Google Cloud’s Cortex Framework along with Vertex AI, BigQuery, Dataplex, and Open Data QnA. The agent processes natural language queries from employees to deliver real-time insights, replacing manual data extraction and processing workflows. This integration improved data democratization and significantly accelerated decision-making across the enterprise.

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6
Use case
Unified digital workflows
Context

Banestes migrated its on-premise systems to Google Workspace in a multi-phase transition executed in partnership with IPNET, which included workshops, video trainings, and a custom Google Sites library to onboard over 2,600 users. They leveraged AppSheet to develop 8 internal applications that automated 6 manual processes—resulting in a 70% reduction in support calls—and integrated Gemini AI to expedite document analysis for credit and compliance, thereby streamlining email, chat, and videoconference workflows.

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1
Use case
Making a virtual assistant faster
Context

Bradesco integrated Microsoft's Azure generative AI into their virtual assistant BIA using services like Azure OpenAI and Data Lake, enabling BIA to quickly generate answers and documents, improving efficiency and response capacity for managers and clients.

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6
Use case
Better deforestation detection
Context

Universidad de los Andes, in collaboration with Instituto Alexander von Humboldt, Instituto Sinchi, IDEAM, and Microsoft AI for Good Lab, created Project Guacamaya, an AI-powered tool using satellite imagery, camera traps, and bioacoustics to detect deforestation and biodiversity shifts, aiding conservation efforts in the Amazon rainforest.

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Use case
Better genetic data analysis
Context

SURA employs AI for genomic sequencing processing and clinical and genetic data analysis as part of their Omics Sciences Center. The AI-powered platform has significantly improved diagnostics, personalized treatment, and scientific research by generating more than 11,500 reports related to hereditary cancer panels and exomes.

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Use case
Faster code generation
Context

Bancolombia, one of the oldest banks in Colombia, uses GitHub Copilot to enhance code generation, boosting automated application changes and productive daily deployments. Empowering a technical team of 4,000 people, including 3,400 software and infrastructure engineers, the bank has achieved a 30% increase in code generation, boosting automated application changes to an average of 18,000 per year, with a rate of 42 productive daily deployments.

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1
Use case
Efficient material queries
Context

Suzano partnered with Google Cloud and Sauter Digital to develop VagaLúmen, a platform that enables natural language queries on its SAP Materials data hosted on BigQuery. They implemented Cortex Framework to populate material views and employed Gemini Pro 1.0 to convert employee queries into SQL commands, automating data retrieval and reducing manual tasks. This integration streamlined internal data access workflows for 50,000 employees in sustainable materials management.

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2
Use case
Faster access to product information
Context

Cemex, a global building materials company, uses Microsoft's AI tools including Microsoft 365 Copilot, GitHub Copilot, and Azure OpenAI Service to enhance productivity and reinvent customer experiences. They built Technical Xpert, a generative AI-powered tool that provides sales agents with instant access to comprehensive product and customer solution information.

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3
Use case
Incentivize healthy choices
Context

RadarFit integrated AI into its wellness app to automatically analyze uploaded photos of meals and physical activities, leveraging advanced image recognition and natural language processing to generate personalized health recommendations and assign gamification points. They implemented Azure OpenAI Service with OpenAI GPT-4 alongside Azure AI Vision for automated meal and exercise review and used Copilot Studio to deliver conversational guidance, streamlining corporate wellness management and reducing manual oversight.

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4
Use case
Centralizing operational data
Context

Mania de Churrasco! centralized its data using Microsoft Azure, Power Platform, and Microsoft 365, improving operational efficiency. The company integrated sales, employee, and self-service data, leading to better decision-making. They are now leveraging OpenAI's models on Microsoft Azure Service for predictive models and AI integration.

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3
Use case
Rapid deforestation detection
Context

Project Guacamaya integrates daily satellite imagery from Planet Labs with Amazon-specific AI models to monitor deforestation in the rainforest. It employs a custom multimodal audio language model (CLAP) for bioacoustic analysis and open-source image models developed using the Pytorch Wildlife framework to rapidly identify deforestation patterns and animal species. This integrated solution supports government agencies and research institutions by streamlining environmental monitoring and enabling prompt conservation actions.

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1
Use case
Enhancing marketplace operations
Context

Mercado Libre uses the Verdi platform powered by GPT-4o, GPT-4o mini, and GPT-3.5 Turbo to improve inventory capacity, fraud detection, customer service mediation, and personalized notifications.

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3
Use case
Hyper-personalizing streaming content
Context

Globo, the largest media group in Latin America, is using Google Cloud’s AI to hyper-personalize content for its streaming users, and create a better experience for spectators.

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Use case
Querying enterprise data in real time
Context

NotCo, a Chilean food tech company, partnered with Eleven Solutions to develop a conversational AI chatbot powered by Gemini.

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1
Use case
Enhancing customer experience analysis
Context

SURA Investments, the largest asset manager in Latin America, developed an AI-based analysis model for employees that allows them to better understand customer needs and improve customer experience and satisfaction.

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Use case
Improving operational metric tracking
Context

180 Seguros is powering its data management platform for employees with Google Cloud AI and BigQuery.

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2
Use case
Enhancing customer interactions
Context

Camanchaca, a Chilean seafood company, developed Elon, a virtual assistant that aims to provide more efficient customer service through digital channels, enhancing Camanchaca's customer interactions.

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Use case
Increasing blood donations
Context

Hemominas, Brazil's largest blood bank, developed a chatbot for donor search and scheduling.

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Use case
Enhancing product discoverability
Context

Mercado Libre has incorporated semantic search into its digital shopping platforms, using AI embeddings from the Vertex AI Agent Builder, which greatly improved product recommendations and discoverability for more than 200 million consumers across Latin America.

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1
Use case
Faster clinical documentation
Context

Genial Care automated clinical session documentation by enabling therapists to record audio notes at the end of each intervention. Vertex AI processes these audio recordings to transcribe and generate detailed summaries using Gemini 1.5 Flash and PaLM Chat Bison, which are then integrated into their clinical dashboard and data pipeline. This solution streamlined the clinical record-keeping process, significantly reducing manual work while ensuring high-quality, compliant patient records.

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3
Use case
Modernize legacy system
Context

Migrated the data platform to Microsoft Azure by leveraging Azure Analysis Services, Azure Data Factory, Azure Databricks, SQL Database, Azure Storage, Event Hubs, and Microsoft Power BI to consolidate and optimize data for self-service reporting and to enable AI initiatives with Microsoft Copilot Studio.

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1
Use case
Reducing teacher administrative workload
Context

Arco Educação, a Brazilian company focused on educational solutions, uses OpenAI's GPT models to reduce administrative workload for teachers, allowing them to focus more on each student.

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Use case
Accessible clinical records
Context

Oncoclinicas implemented a comprehensive digital portal and mobile app to automatically scan, extract, and digitize clinical exam data using Azure Cognitive Services’ Computer Vision for OCR and Text Analytics for Health. They integrated backend services including Azure Storage, Functions App, Service Bus, Cosmos DB, and Azure Machine Learning to centralize and structure medical records, deploying the solution over three months with onsite training at 129 care units to streamline clinical workflows.

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2

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