IBM Sample May 15, 2026 General Assembly General Assembly needed a more consistent and reliable way to plan, budget, report, and reconcile global marketing spend because spreadsheets, inconsistent taxonomies, and manual coordination across more than 45… 1 unified data model replacing regional taxonomies IBM watsonx.ai 
MongoDB Sample Archived · May 15, 2026 Cambium Cambium's Marvad AI examination platform had to detect cheating and plagiarism across tens of thousands of papers, but vector-search latency reached 55 minutes and false positives surged as production volumes approached… around 15 million vectors MongoDB Atlas · MongoDB Professional Services 
Snowflake Sample Archived · May 15, 2026 Simon AI replace batch-oriented, fragmented marketing workflows with governed real-time AI that can personalize campaigns without moving sensitive customer data into external services. 100+ Newly identified high-value customer cohorts Claude from Anthropic · Dynamic Tables · Snowflake 
OpenAI Sample May 15, 2026 Databricks Databricks needed a model that could supervise enterprise agent workflows involving scanned PDFs, legacy files, and long-context documents without the parsing and retrieval errors that frequently break production… 46% reduction in errors on the OfficeQA Pro benchmark vs. GPT-5.4 AI Unity Gateway · Agent Supervisor API · AgentBricks 
Accenture Sample May 14, 2026 Vodafone Vodafone wanted to commercialize its mature shared-services operation as a service for other telecom customers, but it needed faster technology delivery, greater operational efficiency, and new AI-enabled capabilities… more than 25 percent faster GenWizard · VOIS · gen AI tools 
In-house Sample May 14, 2026 Eni Users and stakeholders needed a quicker, easier way to access official information and data across eni.com without relying on manual search or traditional browsing. EnergIA 
Salesforce Sample May 14, 2026 Engine Engine needed a voice-support experience that could answer traveler questions, manage bookings, and handle hotel cancellations at scale without sounding robotic or forcing callers to repeat themselves to human agents. 10% of calls Agentforce Voice · Agentforce for Service · Data 360 
Databricks Sample May 14, 2026 Premier As one of the leading healthcare improvement companies in the U.S., Premier’s mission is to improve community health by enabling better, smarter, and faster healthcare for providers. Serving two out of every three U.S. 30%+ Improvement in analytics project ad-hoc development in the advisory group Databricks Assistant · Databricks Genie · Databricks SQL 
NVIDIA Sample May 13, 2026 SNCF Gares&Connexions SNCF Gares&Connexions needed to understand and optimize safety, passenger flow, energy use, and maintenance across large rail stations, but manual monitoring and disconnected building systems could not simulate or… 100% of preventative maintenance completed on time Akila digital twin platform · NVIDIA Metropolis · NVIDIA Omniverse 
Google Cloud Sample Archived · May 13, 2026 Beamy Large enterprises could not see how employees actually used applications and business processes across thousands of SaaS tools, which made it hard to control shadow IT, rationalize licenses, and prioritize AI… 6,000 applications in use on top of those officially tracked by IT (Veolia) BigQuery · Cloud Run · Looker Google Cloud Sample May 13, 2026 Albertsons Companies Albertsons needed a unified, near-real-time inventory view and better product-quality intelligence so it could automate ordering, improve produce inspections, and keep online and in-store operations aligned. BigQuery · Gemini · Gemini platform Google Cloud Sample Archived · May 13, 2026 OneAssure In the health insurance industry, trust is the one currency that matters in the long run. For OneAssure , an insurtech platform that simplifies the health insurance journey in India through a digital first and human… Google Cloud has bridged that gap, allowing us to process thousands of complex documents with 98% accuracy. BigQuery · Document AI · Gemini platform 
Ericsson Sample May 12, 2026 T-Mobile T-Mobile needed to improve radio access network performance under rapidly changing radio conditions and high-demand usage so it could raise spectral efficiency, increase downlink throughput, and deliver a more… close to 10 percent increase in spectral efficiency AI-native Scheduler with Link Adaptation · Ericsson TCO-optimized hardware In-house Sample May 12, 2026 Cohesity Cohesity needed to reduce friction in enterprise support by replacing manual forms, portal navigation, and low-context case intake that slowed diagnosis and increased customer effort during business-critical incidents. approximately 50% of interactions resolved by customers themselves without ever needing to open a case Cohesity NetBackup · Entitlement management system (VEMS) · NextGen Support Portal In-house Sample May 12, 2026 Deutsche Bank Deutsche Bank needed to review third-party vendors' documentary evidence against its control framework and regulatory expectations faster without removing expert judgement, because onboarding and periodic reviews… A manual review would typically take around 30 minutes per evidence document. TPRM AI In-house Sample May 12, 2026 Mercedes-Benz Group Mercedes-Benz needed to move AI-powered automation from isolated pilot projects into secure, governed day-to-day business processes across functions including development, production, sales, financial services, human… More than 1,500 employees developed AI and automation applications at a company-wide hackathon. n8n IBM Sample May 12, 2026 Suzhou Universal Suzhou Universal needed a faster way to analyze production quality and adjust schedules because MES, ERP, APS, and quality systems were disconnected, cross-system queries were slow, and manual coordination created… 70% reduction in scheduling errors Agentic AI Platform · IBM watsonx Orchestrate Google Cloud Sample Archived · May 12, 2026 Huge With teams that span strategy through implementation, Huge needed technology partners who could keep pace with its ambition to marry creative excellence with technical depth. Huge isn't your typical agency. As a design and technology company working with Fortune 100 companies, Huge… Agent Builder · BigQuery · Gemini platform OpenAI Sample May 12, 2026 AutoScout24 Group AutoScout24 Group needed to deliver product changes faster across growing engineering, data, and product complexity without compromising reliability for buyers, dealers, and customer-facing vehicle marketplaces. Reduced development timelines from 2–3 weeks to 2–3 days for select projects ChatGPT · Codex Google Cloud Sample Archived · May 12, 2026 MC Beyond daily defense, MC needed to solve the ultimate reliability puzzle: the "3rd site"—a dedicated, cloud-based disaster recovery environment designed to act as a fail-safe outside their existing physical data centers. Achieved a 2 TB/day data ingestion, providing the Security Operations Center with 12 months of total historical… Compute Engine · Gemini · Google SecOps OpenAI Sample May 12, 2026 NVIDIA NVIDIA needed AI tooling that could autonomously handle complex engineering sessions and full machine-learning research workflows, not just short coding assists, while respecting privacy and infrastructure constraints. 10x speed improvement for running experiments Codex · Codex desktop app · GPT-5.5 
EY Sample Archived · May 11, 2026 Daikin Daikin's acquisition-driven growth left it with diverse workflows, customized systems and fragmented data across order management, supply chain, fulfillment and finance, making it hard to deliver a consistent dealer… 10% improved counter efficiency AI-assisted implementation · SAP Business Technology Platform (BTP) · SAP S/4HANA 
Huawei Cloud Sample Archived · May 11, 2026 Yunnan Communications Investment and Construction Group Yunnan Jiaotou needed a transport-domain AI system that could handle complex mountain highway construction, maintenance, operations, and safety workflows, but no mature transportation large model, no high-quality domain… accuracy greater than 90% AI platform toolchain · Green Beautiful Corridor transportation large model · Huawei Cloud Stack Google Cloud Sample Archived · May 11, 2026 vivaLAB Cut bioinformatics run costs by 70% per report with Gemini platform and ensured regulatory confidence through a secure-by-design Virtual Private Cloud architecture Cut bioinformatics run costs by 70% per report with Gemini platform and ensured regulatory confidence through a… BigQuery · Cloud Run · Cloud Storage