Google Cloud Sample Archived · Jan 31, 2026 Kapiche Kapiche needed to turn massive volumes of customer feedback into structured intelligence, handle highly variable enterprise workloads, and keep the analytics platform secure and reliable without building heavy… 10x traffic spikes Cloud Build · Cloud Load Balancing · Cloud Monitoring 
NVIDIA Sample Jan 30, 2026 Harvard Medical School The Walter Lab at Harvard Medical School needed to map protein-protein interactions at proteome scale to study DNA repair and disease mechanisms, but manual structural biology work and false-positive model predictions… 1.7 million protein interaction predictions in three months ColabFold · KIRC · NVIDIA A100 GPUs 
PwC Sample Archived · Jan 29, 2026 Chipotle Chipotle needed to replace a slow, disconnected recruiting stack so it could handle seasonal surges, reduce candidate drop-off, and support plans to grow from roughly 3,500 to 7,000 restaurants globally. 18 system integrations connecting Workday to Paradox, job boards, and analytics platforms Ava Cado · Paradox · Work Opportunity Tax Credit (WOTC) tool PwC Sample Archived · Jan 29, 2026 Lucid Lucid needed finance to move beyond retrospective reporting and become a faster, data-driven decision partner that could support growth with better forecasting, scenario planning, and capital visibility. 10 weeks to prototype and deploy AI finance use cases AI-enabled executive concierge · AI-enabled forecasting and reporting tools · Amazon Web Services (AWS) 
In-house Sample Jan 29, 2026 Starbucks Starbucks wanted to reduce operational friction in its coffeehouses and digital channels so partners could get answers quickly, keep order production flowing across channels, and deliver more personal service without… Green Dot Assist · Smart Queue · Starbucks app in ChatGPT 
OpenAI Sample Jan 29, 2026 Taisei Corporation The idea of Middle Out grew from the need to bridge top-down strategy and frontline realities. Based on this model, Taisei designed training programs, internal events, communities of practice, and hackathons so AI could… ChatGPT Enterprise · custom GPTs In-house Sample Jan 28, 2026 Magna Magna needs to improve factory quality, equipment uptime, material flow, energy efficiency, employee safety, and planning coordination across global manufacturing operations while reducing repetitive manual work and… AI Vision Inspection · AI-Enabled Factory Orchestration · Autonomous Mobile Robots 
ServiceNow Sample Archived · Jan 28, 2026 Echelon AI Echelon AI needed to grow a young team quickly, teach AI engineers the ServiceNow platform, and shorten delivery timelines without sacrificing the quality and safety of the AI developer workflows it was building for… 1 platform for all business processes including payroll, HR, CRM, and IT Echelon AI developer agent · ServiceNow AI Platform · ServiceNow University 
IBM Sample Jan 28, 2026 Bay Point Advisors Bay Point Advisors needed to speed private-market due diligence across secure data rooms full of documents without compromising answer quality, citation grounding, or document-level security controls. Hours to minutes Azure Blob Storage · Azure OpenAI · IBM DataStax Astra DB NVIDIA Sample Archived · Jan 28, 2026 City of Raleigh Raleigh needed to improve congestion management, mobility, and street safety as the city grew, but manual traffic counts and disconnected sensor repositories made it hard to visualize conditions, respond to incidents… $9.7 million annually in time and fuel costs Esri ArcGIS · Microsoft Azure · NVIDIA Blueprint for video search and summarization (VSS) Google Cloud Sample Est. · Jan 28, 2026 Sabre Travel buyers were stuck with a 30-year-old 'tyranny of the five boxes' search paradigm while content sat scattered across many sources, and travel sellers (e.g. airlines) were absorbing tens of millions of customer… $150M in annualized cost savings from cloud infrastructure modernization Gemini · Google Maps Platform · Travel Impact Model API In-house Sample Jan 27, 2026 Audi Audi needed to scale AI-enabled production and logistics across factories while reducing reliance on stationary factory computers, improving flexibility and quality control, and giving employees real-time support in… around 100 robots Edge Cloud 4 Production (EC4P) · P-Data Engine · ProcessGuardAIn NVIDIA Sample Jan 27, 2026 Argonne National Laboratory Argonne and its collaborators needed to coordinate gravitational-wave and radio follow-up across observatories without moving proprietary datasets, but CPU-bound processing, siloed data-sharing policies, and slow… 5-10x speedup compared to CPU workloads Dingo-BNS · NVIDIA A100 Tensor Core GPUs · NVIDIA A40 GPUs OpenAI Sample Jan 27, 2026 TRUSTBANK Furusato Nozei donors struggled to navigate a huge catalog of thank-you gifts and municipalities, so TRUSTBANK needed a more personalized way to guide discovery without requiring users to understand a complex… Roughly 760,000 thank-you gifts listed on Furusato Choice Choice AI · GPT-4.1 mini · Greeting Agent OpenAI Sample Jan 27, 2026 Radisson Hotel Group Radisson needed to reach travelers earlier in AI-driven trip planning and create a direct booking path inside conversational discovery surfaces instead of waiting for guests to arrive through traditional hotel search… 54% of recorded checkout and booking events attributed to ad views APIs · MCP server · Radisson Hotels ChatGPT plugin 
Alibaba Cloud Sample Jan 26, 2026 Chaoxing Zhizhen Group (超星指针集团) Chaoxing Zhizhen Group needed a way to connect isolated campus systems and fragmented knowledge resources, deliver more personalized services to teachers and students, and turn large-model technology into… PPT assistant usage reached 80% AI agent platform · AI capability middle platform · AI knowledge-base platform OpenAI Sample Jan 26, 2026 Indeed Indeed needed to expand AI across job search, employer hiring workflows, and internal operations while keeping human decision-makers in the loop and building employee confidence in how to use the technology well. About 70% of sponsored applications come from AI-powered recommendations Career Scout · OpenAI APIs · Smart Sourcing 
Capgemini Sample Jan 24, 2026 Norwegian Red Cross The Norwegian Red Cross needed a lower-cost, privacy-preserving way to support sensitive multilingual conversations for vulnerable groups when human interpreters were expensive or unavailable. Cost of interpretation reduced up to 90% BabelSpeak · Telenor AI Factory NVIDIA Sample Jan 23, 2026 Government of Cantabria Cantabria's small six-person GIS team needed to produce more environmental and infrastructure mapping output with limited staff, but manual cartography and legacy stereo-mapping workflows were too slow and too expensive… 1:5,000-scale mapping completed in just three days Esri ArcGIS Pro · GeoAI · MaskRCNN 
Databricks Sample Jan 23, 2026 FMC Corporation FMC is harnessing the power of science to address agriculture's most significant challenges, protecting crops from the devastating impact of insect pests. And while data is critical to their business, the challenge… 50% Fewer person-hours are now required for model development* 
Salesforce Sample Jan 22, 2026 Pentagon Federal Credit Union Manual processes left little time for high-impact relationship building. PenFed knows what it means to serve those who serve. 2 million members migrated off legacy apps Agentforce Financial Services · Agentforce Self-Service · Agentforce Service Databricks Sample Jan 22, 2026 Dongwon Group However, their legacy data systems were siloed by business units, limiting their ability to support company-wide AI-based operations. 96% Raw material price forecasting accuracy Delta Lake · Unity Catalog In-house Sample Jan 21, 2026 Groupe BPCE Groupe BPCE wanted to transform banking operations and customer experience at scale, improving back-office productivity, frontline advisor support, mobile customer interactions, contact center automation, fraud… 1 million calls out of the 12 million received each year are handled from start to finish by an AI voice agent AI assistant · AI voice agent · Gen AI 
Oracle Sample Archived · Jan 21, 2026 ADT ADT wanted to connect HR data and AI so it could improve talent and compensation decisions, answer employee questions faster, and automate repetitive recruiting and performance-management work while keeping strong… AI resolves 90% of basic HR inquiries Oracle Fusion Agentic Applications · Oracle Fusion Cloud Human Capital Management (HCM) · Oracle Fusion HCM Analytics