AI case studies using {model/tool}






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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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Technogym integrated Google Cloud’s generative AI services including Gemini, Vertex AI, and BigQuery to analyze vast amounts of user data stored in Cloud Storage, enabling the creation of hyper-personalized workout, nutrition, sleep, and mindfulness programs. The AI-powered Technogym Coach is embedded into their digital ecosystem, streamlining fitness planning and enhancing customer engagement across both physical and digital channels.
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Connected-Stories built an AI creative assistant leveraging Google Cloud's Gemini to analyze creative briefs and generate sophisticated content strategies. The system integrates Vertex AI for model processing, Imagen and PaLM 2 for generating visuals and text, ensuring multimedia content meets brand guidelines. It streamlines the creative workflow end-to-end by integrating first-party data and real-time performance tracking, driving personalized content at scale.
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Radisson Hotel Group personalized its advertising at scale in collaboration with Accenture and using Vertex AI and Gemini models, training them on extensive datasets stored in BigQuery.
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180 Seguros is powering its data management platform for employees with Google Cloud AI and BigQuery.
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Hiscox used BigQuery and Vertex AI to create the first AI-enhanced lead underwriting model for insurers, automating and accelerating the quoting for complex risks.
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syte built an AI-driven property platform by integrating Google Cloud’s BigQuery to consolidate data from a data lake and execute rapid spatial queries across 25 million properties, reducing search response times from 60 seconds to around 2 seconds. They further enhanced processing by employing Compute Engine for parallel processing of massive LiDAR datasets and Kubernetes Engine to deploy and scale web applications, streamlining property analysis and re-densification workflows.
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Juganu integrated Vertex AI to leverage advanced computer vision models on in-store images and videos, automatically detecting product availability, out-of-stock situations, and merchandising issues. They implemented integrations with BigQuery and Looker to consolidate and analyze retail floor data, streamlining inventory management and triggering automated alerts for restocking.
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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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Bosch Software and Digital Solutions implemented an AI-powered ecosystem by leveraging Google Cloud products to integrate sustainability into business operations. They used Kubernetes to manage the lifecycle and scalability of solutions across multiple regions, BigQuery to build an AI-based cognition engine for real-time insights, and Firebase to alert specific user roles, thereby streamlining operational sustainability.
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Bosch SDS deployed an AI-powered cognition engine by processing IoT sensor data on Google Cloud, using BigQuery for real-time insights and data analysis. They implemented Kubernetes for scalable lifecycle management across regions and integrated Firebase to provide real-time alerts to specific user roles. This approach digitizes sustainability tracking and optimizes operational decision-making through actionable, energy-efficient dashboards.
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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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Palo Alto Networks’ Cortex XSIAM, the AI-driven security operations platform, is built on more than a decade of expertise in machine-learning models and the most comprehensive, rich, and diverse data store in the industry. Backed by Google's advanced cloud infrastructure and advanced AI services, including BigQuery and Gemini models, the combination delivers global scale and near real-time protection across all cybersecurity offerings.
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MSCI uses machine learning with Vertex AI, BigQuery and Cloud Run to enrich its datasets to help our clients gain insight into around 1 million asset locations to help manage climate-related risks.
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Mercado Libre is testing BigQuery and Looker to optimize capacity planning and reservations with delivery carriers and airlines to fulfill shipments faster.
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Bayer is building a radiology platform that will assist radiologists with data analysis, intelligent search, and to create documents that meet healthcare requirements needed for regulatory approval. The bioscience company is also harnessing BigQuery and Vertex AI to develop additional digital medical solutions and drugs more efficiently.
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