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Use case
Optimizing operational processes
Context

PG&E uses Copilot Studio and low-code AI tools to automate over 315 processes, saving 527,000 hours annually and nearly $75 million. AI-powered assistants also handle 25-40% of help desk requests, optimizing employee workloads and improving service levels.

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Use case
Automating customer service
Context

Nsure.com uses Copilot Studio to create custom AI copilots that automate up to 90% of incoming customer requests, such as handling insurance quotes, payments, renewals, and discounts.

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Use case
Streamlining script analysis
Context

Jumpcut Media, a company making AI-powered tools for the entertainment industry, uses Claude 3 Opus to power its ScriptSense product, which generates comprehensive script coverage—a specific report for a screenplay including scene summaries and character breakdowns. This helps Hollywood studios, agencies, and production companies save time by evaluating scripts in seconds. ScriptSense also indexes scripts in a searchable database, aiding creative teams in meeting studios’ requirements for which content they need.

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Use case
Streamlining legal analysis
Context

Steno uses Claude 3 Opus to power its Transcript Genius platform, enabling attorneys to quickly search, analyze, and extract critical insights from vast legal transcripts. This AI-driven solution centralizes transcript storage and uses a 200K context window to handle long documents, saving attorneys significant time in deposition preparation.

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Use case
Personalizing cancer care
Context

Color Health uses GPT-4o to create a copilot application that integrates patient data with clinical knowledge to generate personalized cancer screening and treatment plans. It helps identify missing diagnostics and streamline documentation, reducing time to treatment by allowing clinicians to identify gaps in patient workups 4x faster.

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Use case
Optimizing employee query management
Context

Copilot Studio is also being used inside Microsoft itself. Microsoft uses a custom Copilot within its HRWeb portal to manage employee queries. The AI deflects 60% of incoming questions, allowing employees to reclaim over 21,000 hours of productivity and reducing 27% of incoming service tickets.

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Use case
Simplifying access to city information
Context

MNP Digital partnered with the City of Burlington to create "CoBy," a digital assistant using Microsoft Copilot Studio. CoBy digests and summarizes information-heavy content to provide easy-to-understand responses, helping residents with questions about city services and regulatory requirements. The AI offers 24/7 support, improving customer service and access to local bylaws information.

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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
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.

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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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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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0
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 enterprise 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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