KPMG Sample Archived · Feb 9, 2026 Government of India India's digital public services needed to reach citizens across many languages and dialects, but traditional language tools lacked the scalability, real-time performance, and platform integration needed to reduce… more than 12 reference applications AI models · chatbot integration · language AI platform 
NVIDIA Sample Archived · Feb 9, 2026 Clinomic Clinomic needed to consolidate ICU patient data, reduce documentation burden, and run bedside analytics and telemedicine functions without relying on cloud connectivity that could introduce latency or operational risk… 143% increase in patient-care capacity NVIDIA Jetson AGX Xavier · NVIDIA TensorRT 
Google Cloud Sample Archived · Feb 8, 2026 Taboola Taboola, a global ad tech and content discovery platform, uses Vertex AI, NotebookLM, and Gemini to scale ad performance, streamline sales, reduce costs, and democratize secure AI access across teams. Cut ad moderation costs by 75% by migrating content review to Gemini Gemini Enterprise · Google Workspace · NotebookLM 
Cognizant Sample Archived · Feb 7, 2026 Royal London Group Royal London Group needed to review thousands of regulated marketing assets faster while maintaining compliance with FCA Consumer Duty requirements and reducing the burden on human reviewers. 4.2 hours reduced per asset review time Approver · Creator · Microsoft Azure’s OpenAI LLM Google Cloud Sample Archived · Feb 7, 2026 Verkkokauppa.com We've been a long-time user of Google Cloud, so it made sense to build on our existing data foundation in BigQuery. Google Cloud is a leader in AI innovation, and if anyone understands search, it's Google, so we were… 4% increase in products added to cart BigQuery · Vertex AI · Vertex AI Search Google Cloud Sample Archived · Feb 7, 2026 Filum In the early stages, the team managed data pipelines using manual Python scripts and spreadsheets. Looking ahead to 2026, Filum is adopting an AI-first product strategy. The team plans to integrate Vertex AI… BigQuery · Cloud Run · Gemini Google Cloud Sample Archived · Feb 7, 2026 ALPHAWAVE ALPHAWAVE needed to scale high-quality generative video and AI automation services with a small team, which required early access to frontier models and a platform that could support both media production and internal… Flow · Veo · Vertex AI Google Cloud Sample Archived · Feb 7, 2026 Tardigrade AI Tardigrade AI needed a cloud-native climate-risk platform that could unify huge public, partner, and insurance data sets, orchestrate analysis automatically, and turn complex model outputs into understandable guidance… BigQuery · Cloud Run · Cloud SQL Google Cloud Sample Archived · Feb 7, 2026 epaka.pl epaka.pl was making marketing and operational decisions from partial, delayed reports and needed a single trusted data foundation that could unify online and offline order data in real time and support churn prediction. BigQuery · BigQuery ML · Looker 
Salesforce Sample Feb 6, 2026 LIV Golf How LIV Golf is using Agentforce and Data 360 to bring fans closer to every swing. Why Nick Connor, SVP of Technology, chose Salesforce to connect data, AI, and fans – bringing richer stories, deeper context, and… How LIV Golf is using Agentforce and Data 360 to bring fans closer to every swing. Agentforce · Data 360 
Anthropic Sample Archived · Feb 6, 2026 Figma Figma wanted teams to turn ideas and static designs into interactive software much faster, reduce the friction between design and development, and let non-coders prototype without rebuilding designs by hand. I spent 30 hours teaching myself React to build my website. With Claude, I refactored and improved all that… Claude Opus 4.6 · Claude Platform · Claude Sonnet 
Accenture Sample Feb 5, 2026 Spotify Spotify wanted to scale its advertising business across far more markets and make digital-audio advertising easier for brands to buy, create, measure, and optimize, but campaign operations and creative workflows needed… 24 hours to traffic ad campaigns Ads Manager · Insights Studio · Spotify Ads Exchange 
In-house Sample Feb 5, 2026 LG AI Research LG AI Research needed to extend AI systems built for high-stakes manufacturing into financial market workflows where forecasting accuracy alone was insufficient; investors also needed narrative reasoning, governance,… 4-week horizon AI-Powered Equity Forecast Score · EXAONE · EXAONE Business Intelligence 
MongoDB Sample Archived · Feb 5, 2026 Condé Nast Condé Nast needed a recommendation engine that could help millions of readers across more than 70 websites find relevant content without the latency, cost, and operational complexity of maintaining separate… Click-through rates across Condé Nast's websites rose to 35%. MongoDB Atlas · MongoDB Atlas Vector Search · Voyage AI NVIDIA Sample Feb 5, 2026 EDAG Production Solutions EDAG needed to help manufacturers launch and optimize factories faster, but fragmented planning tools, disconnected supplier data, and manual status tracking slowed collaboration, increased errors, and delayed readiness… More than 100 workers trained virtually before installation EDAG digital twin platform · NVIDIA Omniverse · OpenUSD NVIDIA Sample Feb 5, 2026 Lightwheel Lightwheel needed a way to overcome slow real-world robotics data collection and the sim-to-real gap so customers could train and deploy embodied AI systems without months of physical prototyping and expensive on-robot… 100 to 1000 times Isaac GR00T N1.5 · Isaac Lab · NVIDIA Isaac Sim NVIDIA Sample Feb 4, 2026 VinuesaLab at the University of Michigan VinuesaLab needed high-fidelity, city-scale urban airflow simulation for planning and resilience work, but traditional CFD workflows were too slow, too resource intensive, and largely constrained to 2D approximations. 10x Faster Training Diff-SPORT · NVIDIA A100 Tensor Core GPUs · NVIDIA PhysicsNeMo NVIDIA Sample Feb 4, 2026 MITRE MITRE needed a secure, shared AI environment that government sponsors and researchers could use to test advanced models across domains without duplicating infrastructure or weakening controls around sensitive data. 1-kilometer level precision NVIDIA DGX SuperPOD · NVIDIA Earth-2 · NVIDIA Omniverse NVIDIA Sample Feb 4, 2026 Foxconn Foxconn needed a faster way to design, replicate, and optimize complex global factory operations because traditional facility planning, robotics programming, and environmental analysis were too slow, siloed, and… 150x faster computational fluid dynamics (CFD) simulations FoundationPose · NVIDIA Isaac Lab · NVIDIA Isaac Sim Accenture Sample Feb 3, 2026 SXD SXD needed a way to reduce material waste in fashion design so discarded textiles could become commercially useful products instead of creating more landfill and emissions. up to 69% in material consumption SXD AI 
Cohere Sample Feb 3, 2026 CoreWeave CoreWeave needed to route customer issues to the right engineers faster, reduce the manual context gathering and tool handoffs in its Slack-centric support process, and do it without letting sensitive customer data… 4.9 - 5.0 customer satisfaction (CSAT) scores Jira · North · Slack Google Cloud Sample Archived · Feb 3, 2026 Thinknum 60% decrease in cloud-related IT costs 80% decrease in IT management time 60% decrease in cloud-related IT costs AlloyDB · BigQuery · Cloud Build Google Cloud Sample Archived · Feb 3, 2026 Refik Anadol Studio Refik Anadol Studio needed to process and understand billions of nature images fast enough to train a new multimodal model for DATALAND, while also enriching the dataset with better semantic context than previous… 23x faster data processing BigQuery · Gemini 2.5 Flash · Google Cloud Storage Google Cloud Sample Archived · Feb 3, 2026 Shopify Shopify needed an AI commerce assistant that could understand merchant intent, chain together multiple tool calls, and stay available at global scale so millions of merchants could get faster guidance and store setup… BigQuery · Bigtable · Claude Sonnet 4.5