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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
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
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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Use case
Faster compliance processing
Context

Trace One implemented AI by integrating Google Vertex AI to automatically extract information from technical sheets and regulatory documents, map data between diverse systems, and compare texts and images for packaging compliance. The solution was developed following a successful proof-of-concept and then scaled into production using Google Cloud’s managed services, simplifying system integration and reducing operational complexity. This deployment streamlined their PLM and compliance update processes, minimizing manual intervention and optimizing accuracy.

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Use case
Personalized fitness at scale
Context

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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Use case
Faster claims processing
Context

Five Sigma developed Clive, the insurance industry’s first AI claims adjuster that integrates with legacy claims systems to automate claim intake, analysis, and processing. It leverages Google Cloud’s Vertex AI with Gemini models to analyze both structured and unstructured data and employs LangChain for its conversational interface along with LangSmith for automated testing and continuous improvement. This implementation transforms claims handling workflows, enabling adjusters to make faster, more accurate settlement decisions.

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Use case
Scalable content personalization
Context

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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5
Use case
Enabling 24/7 security support
Context

Palo Alto Networks is using Gemini to create a grounded AI assistant for 24/7 security platform support to improve agent efficiency and response time.

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1
Use case
Accelerating threat response
Context

Fiserv, a developer of financial services technology, can now summarize threats, find answers, and detect, validate, and respond to security events faster with the Gemini in Security Operations platform.

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Use case
Personalizing advertising at scale
Context

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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3
Use case
Accelerating threat detection writing
Context

Apex Fintech is using Gemini in Security to accelerate the writing of complex threat detections.

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1
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
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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Use case
Debugging generative AI applications
Context

Weights & Biases, a creator of AI tools for developers, created W&B Weave, a lightweight toolkit to track, evaluate, and debug gen AI applications built with Gemini, so teams can confidently go from demo to production.

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Use case
Simplifying complex company searches
Context

Dun & Bradstreet created an AI search with Google’s Gemini to help customers with complex queries like "Find me all the companies in this area with a high ESG rating." They’ve also built an AI-powered email-generation tool that helps sellers create tailored, personalized communications to prospects and customers for its research services.

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Use case
Streamlining compliance documentation
Context

CostPlus Drugs (by Mark Cuban) estimates employees save 5 hours per week just with Gemini’s AI capabilities for Gmail. They also use it for AI-generated transcriptions and auto-formatting of lab results and FDA compliance documents.

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Use case
Vehicle user support
Context

Volkswagen of America built a virtual assistant in the myVW app, where drivers can explore their owners’ manuals and ask questions, such as, “How do I change a flat tire?” or “What does this digital cockpit indicator light mean?” Users can also use Gemini’s multimodal capabilities to see helpful information and context on indicator lights simply by pointing their smartphone cameras at the dashboard.

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Use case
Making an AI-powered billboard for their trucks
Context

PODS used Gemini to create “the world’s smartest billboard” for its trucks, that adapts to each Neighbourhood in New York city and changes in real-time.

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Use case
Boosting chatbot engagement
Context

Snap has deployed the multimodal capability of Gemini within its “My AI” chatbot.

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Use case
Let users chat to multiple LLMs
Context

Quora developed Poe, its own generative AI platform for people to discover and chat with AI-powered bots, including Gemini, Anthropic’s Claude, Meta’s Llama, and Mistral’s Large 2 — many of which are hosted on Google Cloud’s purpose-built AI infrastructure.

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4
Use case
Making smartphones more useful
Context

Motorola’s Moto AI leverages Gemini and Imagen to help smartphone users unlock new levels of productivity, creativity, and enjoyment with features such as conversation summaries, notification digests, image creation, and natural language search — all with reliable responses grounded in Google Search.

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2
Use case
Targeting overlooked audiences
Context

Monks integrated Google AI by deploying Gemini to analyze social media trends, search queries, and industry reports to identify key customer personas for Hatch’s Restore 2 smart clock campaign. They leveraged AI-generated persona insights in follow-up interviews and used the AI-powered image generator ImageFX to create tailored creative assets before integrating these insights into real-time ad optimization via Performance Max, streamlining the campaign workflow.

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2
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.

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3
Use case
Faster review insights
Context

HomeToGo partnered with Google Cloud to deploy Gemini models via Vertex AI to power its Smart AI Reviews that automatically summarize and translate thousands of guest reviews into clear, concise insights. They integrated this generative AI solution into their booking platform, streamlining the review analysis process to accelerate customer decision-making while upholding robust data security protocols.

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Use case
Empower stakeholder ideation
Context

The Estée Lauder Companies implemented AI by developing a sentiment analysis tool to rapidly capture consumer sentiment from product reviews and launching ELLA, their internal language assistant powered by Vertex AI running on Gemini. They enabled brand leaders to leverage generative AI for translations, ad copy creation, and meeting summarization, integrating these capabilities with Google Cloud’s BigQuery to streamline decision-making and operational acceleration.

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Use case
Delivering innovative phone experiences
Context

Oppo/OnePlus is incorporating Gemini models and Google Cloud AI into their phones to deliver innovative customer experiences, including news and audio recording summaries, AI toolbox, and more.

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2
Use case
Providing near real-time cybersecurity protection
Context

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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3
Use case
Automating e-commerce sales assistance
Context

Mercedes Benz will infuse e-commerce capabilities into its online storefront with a gen AI-powered smart sales assistant. Mercedes also plans to expand its use of Google Cloud AI in its call centers and is using Vertex AI and Gemini to personalize marketing campaigns.

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2
Use case
Streamlining customer service support
Context

Best Buy is using Gemini to launch a generative AI-powered virtual assistant this summer that can troubleshoot product issues, reschedule order deliveries, manage Geek Squad subscriptions, and more; in-store and digital customer-service associates are also gaining gen-AI tools to better serve customers anywhere they need help.

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1

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