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Use case
Automating routine customer support
Context

BYU Pathway Worldwide integrated generative AI into their Copilot Studio support bot, resulting in immediate time savings of over 150 human hours per week.

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Use case
Faster & inclusive item listings
Context

Goodwill of Orange County developed an AI-powered app using Microsoft's Azure AI Services, including Azure AI Custom Vision and Azure AI Vision, to streamline the e-commerce listing process on ShopGoodwill.com. The app uses AI to identify clothing items, extract information from photos of labels, and generate listing descriptions using generative AI. This enables more people, including those with disabilities, to work in e-commerce positions and increases revenue for their mission.

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3
Use case
Faster game troubleshooting
Context

Unity built Muse Chat, an AI assistant integrated directly into the Unity Editor using Microsoft Azure OpenAI Service. They implemented the solution by leveraging GPT-4 and GPT-3.5 Turbo models along with Azure AI Content Safety to provide tailored troubleshooting and coding solutions based on Unity’s extensive documentation and project-specific settings. The integration streamlined the development process by enabling developers to resolve issues quickly and efficiently.

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2
Use case
Streamlining sales operations
Context

Lumen Technologies uses Microsoft Copilot for Sales and Microsoft 365 Copilot to automate routine tasks, boost productivity, and enhance customer service across its global operations. By reducing time spent on customer research from 4 hours to 15 minutes, the AI implementation is projected to generate an additional $50 million in revenue over a year.

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2
Use case
Enhancing radiation oncology workflows
Context

Mayo Clinic uses Meta's Llama 2 to develop RadOnc-GPT, a specialized large language model for radiation oncology. RadOnc-GPT is fine-tuned on patient records and deployed locally to ensure data security. It supports a chatbot that answers routine post-radiotherapy questions, reducing nurses’ and clinicians’ workloads and improving treatment decision-making speed, accuracy, and quality. Future developments include predicting patient outcomes and expanding clinical tasks, enhancing operational efficiency and patient care.

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1
Use case
Supporting open-source browser AI
Context

Brave, an open-source privacy-focused web browser with an integrated AI assistant called Brave Leo, uses Mistral's 8x7B model as its primary model for both free and premium versions. Brave also leverages Mistral's capabilities for its CodeLLM feature, addressing programming-related queries in Brave Search. The exceptional performance and open-source nature of Mistral's models align with Brave's commitment to open models and the open-source community.

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Use case
Enhancing cross-departmental productivity
Context

The U.S. Anti-Doping Agency (USADA) implemented Perplexity Enterprise Pro to enhance productivity across 8+ teams including finance, legal, and IT. The AI is used for policy research, quick summaries, deep learning, and upskilling, saving over 150 hours and achieving a 93% adoption rate in the pilot group. Perplexity ensures data security and accuracy with citations, freeing employees to focus on high-value tasks and problem-solving.

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Use case
Improving team productivity
Context

The Cleveland Cavaliers use Perplexity Enterprise Pro to enhance efficiency across 15+ teams by empowering employees to handle research and repetitive tasks autonomously. The AI search engine improves workflows, saves up to 10+ hours per week per employee, and provides secure, accurate results without using proprietary data. Teams use it for tasks like analyzing documents, drafting emails, and simplifying technical explanations, boosting productivity and reducing mundane tasks.

Models/tools
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1
Use case
Delivering fast, accurate search results
Context

Perplexity uses various Claude models (Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku) to optimize performance, cost, and accuracy for delivering factual and relevant answers in its conversational search engine. Claude models allow Perplexity to provide fast, accurate results with the ability to read dense research papers in under 3 seconds, benefiting both free and paid users.

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3
Use case
Generating eCommerce product descriptions
Context

Belk eCommerce uses gen AI to make product descriptions – traditionally a time-consuming task for digital retailers.

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Use case
Automating video metadata creation
Context

Paramount currently relies on manual processes to create the essential metadata and video summaries used across its Paramount+ platform for showcasing content and creating personalized experiences for viewers. VertexAI Text Bison is now helping to streamline this process.

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Use case
Accelerating cybersecurity data analysis
Context

Pfizer can now aggregate cybersecurity data sources, cutting analysis times from days to seconds.

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Use case
Prioritizing and addressing security threats
Context

Charles Schwab has integrated their own intelligence into the AI-powered Google SecOps, so analysts can better prioritize work and respond to threats.

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1
Use case
Creating photo-realistic marketing assets
Context

Procter & Gamble has created an AI tool based on Imagen (Google’s image generator) that creates photo-realistic images and creative assets. It enables their marketing teams to spend more time focusing on high-level planning and improving the customer experience.

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Use case
Simplifying security operations workflows
Context

Fiserv security operations engineers create detections and playbooks with much less effort, while analysts get answers more quickly.

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Use case
Delivering live in-game sports insights
Context

Major League Baseball continues to innovate its Statcast platform, so teams, broadcasters, and fans have access to live in-game insights.

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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
Streamlining government operations
Context

NOAA and USAID are among the U.S. government agencies using Google Cloud AI to unlock critical data insights to streamline operations and improve mission outcomes — all with an emphasis on responsible AI.

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Use case
Streamlining government operations
Context

NOAA and USAID are among the U.S. government agencies using Google Cloud AI to unlock critical data insights to streamline operations and improve mission outcomes — all with an emphasis on responsible AI.

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Use case
Optimizing supply chain logistics
Context

Kinaxis and Dematic are building data-driven supply chains to address logistics use cases including scenario modeling, planning, operations management, and automation.

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Use case
Optimizing supply chain logistics
Context

Kinaxis and Dematic are building data-driven supply chains to address logistics use cases including scenario modeling, planning, operations management, and automation.

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Use case
Expanding AI model options
Context

Anthropic has partnered with Google Cloud to offer its family of Claude 3 models on Vertex AI — providing organizations with more model options for intelligence, speed, cost-efficiency, and vision for enterprise use cases.

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2
Use case
Enhancing IoT decision-making
Context

Cox 2M, the commercial IoT division of Cox Communications, is able to make smarter, faster business decisions using AI-powered analytics.

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Use case
Training enterprise AI models
Context

Essential AI, a developer of enterprise AI solutions, is using Google Cloud’s AI-optimized TPU v5p accelerator chips to train its own AI models.

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1
Use case
Improving climate resilience
Context

Broward County, Florida, and Southern California Edison are using geospatial capabilities and AI to improve infrastructure planning and monitoring, generate new insights, and create regional resilience for communities facing climate challenges today and tomorrow.

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Use case
Accelerating multilingual clinical data retrieval
Context

Mayo Clinic has given thousands of its scientific researchers access to 50 petabytes worth of clinical data through Vertex AI search, accelerating information retrieval across multiple languages.

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1
Use case
Managing climate risks with enriched datasets
Context

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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3
Use case
Enhancing infrastructure planning with geospatial AI
Context

Broward County, Florida, and Southern California Edison are using geospatial capabilities and AI to improve infrastructure planning and monitoring, generate new insights, and create regional resilience for communities facing climate challenges today and tomorrow.

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Use case
Improving regional climate resilience
Context

Broward County, Florida, and Southern California Edison are using geospatial capabilities and AI to improve infrastructure planning and monitoring, generate new insights, and create regional resilience for communities facing climate challenges today and tomorrow.

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Use case
Searching vast news archives efficiently
Context

NewsCorp is using Vertex AI to help search data across 30,000 sources and 2.5 billion news articles updated daily.

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1

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