IBM Sample Aug 11, 2026 Inter Inter needed to evolve a large, API-heavy conversational banking environment into a more scalable AI operating model without breaking the integrations, governance controls, and continuity behind critical customer… 45M customers served IBM Cloud · IBM watsonx Orchestrate 
MongoDB Sample Aug 11, 2026 Scalestack Scalestack needed to unify first-party, third-party, and zero-party go-to-market data so sales teams could stop manually researching prospects and act on AI-generated recommendations faster. Customers saw a 40% increase in rep productivity. MongoDB Atlas MongoDB Sample Aug 11, 2026 Swisscom Swisscom needed to help banking users search and summarize a fast-growing library of more than 3,500 industry documents with better speed, relevance, and trust than general-purpose online AI tools could provide. Swisscom reached out to MongoDB on February 6, 2024 and had a prototype built by February 15. MongoDB Atlas · MongoDB Vector Search MongoDB Sample Aug 11, 2026 Lombard Odier Lombard Odier needed to modernize its legacy banking infrastructure, reduce technical complexity, and accelerate innovation while maintaining security and regulatory compliance. LG U+ Read about how LG U+ improves efficiency by 30% with MongoDB-powered AI tool DevRev Learn how IT company… MongoDB Atlas IBM Sample Aug 10, 2026 Farmers State Bank Farmers State Bank needed to connect fragmented website, phone, and branch interactions because customers expected digital-first convenience while the bank still needed to preserve the personal relationships central to… IBM watsonx Orchestrate · Incede.ai · Penny 
ServiceNow Sample Archived · Aug 10, 2026 Brenntag Brenntag’s global IT and finance operations across 72 countries were slowed by manual tasks, fragmented systems, and too much time spent searching for help or resolving routine requests. 30% Expected decrease in mean time to resolve (MTTR) IT Service Management · Now Assist · ServiceNow AI Platform 
OpenAI Sample Aug 10, 2026 Zapier At Zapier, the enterprise marketing team is using ChatGPT Work to build automated funnel optimization systems, enabling them to deliver more value to their sales team with less manual effort. ChatGPT Work operates… Now, the enterprise marketing team can perform automatic QA/QC on thousands of leads every month. The… ChatGPT Work 
Google Cloud Sample Modified · Aug 10, 2026 AirAsia Next AirAsia Next needed to accelerate software delivery and quality assurance for millions of regional customers without adding manual testing bottlenecks or slowing its engineering teams. Generates 50%+ production code using Google Antigravity in Gemini Enterprise BigQuery · Cloud Logging · Cloud Run 
Snowflake Sample Modified · Aug 7, 2026 Uniper Volatile energy markets demanded faster access to trading, risk, and operational data than Uniper's aging reporting platform and fragmented systems could provide. 18.5 gigawatts of power-generating capacity Snowflake · Snowflake CoCo · Snowflake CoWork OpenAI Sample Aug 7, 2026 HSP GRUPPE HSP wanted AI to create more capacity across tax advisory, legal research, client communication, and financial analysis without weakening confidentiality, governance, or professional accountability. 40,000+ estimated annual hours of additional capacity AI Client Communication · Booking Assistant SKR03 & SKR04 · ChatGPT Enterprise 
Alibaba Cloud Sample Aug 6, 2026 ShineWing (信永中和) ShineWing needed to move beyond isolated assistants and build a secure enterprise AI layer for document-heavy professional services. It had to coordinate multiple agents, unify AI assets, connect internal systems… completed final joint integration and launch in 1 week AI Gateway · AgentTeams · MCP Server Google Cloud Sample Modified · Aug 6, 2026 Trade Me Trade Me wanted to turn a marketplace and engineering organization into an AI-first ecosystem, which meant replacing physical data centers, accelerating incident diagnosis, and letting employees query marketplace trends… Achieved 4 9s availability for critical APIs through Agent Development Kit · AlloyDB · BigQuery 
Databricks Sample Aug 6, 2026 LG U+ LG U+ needed to reduce its dependency on external LLM providers because latency, outages, and operating costs were directly affecting AI search and voice experiences for telecom customers. 48% increase in throughput AI Gateway · Databricks Model Serving · Gemini 2.5 Flash 
NVIDIA Sample Aug 5, 2026 Dassault Systèmes Dassault Systèmes needed to speed trusted simulation, move compliance checks earlier, and help aerospace and automotive customers make design decisions faster without sacrificing predictive accuracy or information… 10,000+ requirements 3DEXPERIENCE platform · NVIDIA CUDA-X · NVIDIA Nemotron open models Google Cloud Sample Archived · Aug 5, 2026 RealTruck Compounding the integration challenges was the massive data complexity associated with automotive accessories. By building directly on Google Cloud's advanced AI platform, RealTruck has achieved exceptional operational… Gemini 3.1 Pro · Gemini models · Gemini platform Google Cloud Sample Archived · Aug 5, 2026 Horizon Media While these behemoth agencies are often slowed down by complex layers of approval, Horizon Media turns its independence into a major advantage. The agency relies heavily on its core superpowers: structural agility,… Achieving 20% capacity gains and a Gemini · Gemini platform · Looker Google Cloud Sample Archived · Aug 5, 2026 Locket Labs Locket needed to add safe, high-speed creative photo features for millions of users without slowing a lean team or compromising the authentic social experience the product was built around. Delivered in-demand app capabilities that sparked a 30% to 40% engagement rate BigQuery · Bigtable · Firestore Google Cloud Sample Archived · Aug 5, 2026 LiveRamp LiveRamp leveraged Google Cloud and AI to automate operational center tasks, significantly boosting developer productivity and improving SLA attainment for its global engineering teams. Achieved a 435% year-over-year increase in operational center hours saved Agent Platform · BigQuery · Cloud Run Google Cloud Sample Archived · Aug 5, 2026 Cox Cox needed to move beyond traditional IVR flows so customers could explain issues naturally, resolve more requests at first contact, and shift routine support into digital channels without losing context when a live… 10% improvement in customer resolution within its first week Gemini Enterprise for Customer Experience Google Cloud Sample Archived · Aug 5, 2026 DeepHealth DeepHealth needed to handle rising imaging volumes, a worsening radiologist shortage, and the need to deliver faster, more consistent cancer detection without limiting access to high-quality diagnostics to major urban… 20M+ medical images streamed yearly with Cloud Healthcare API BigQuery · Cloud Healthcare API · Gemini 
SLB Sample Aug 4, 2026 ADNOC ADNOC needed to improve performance across a large upstream drilling fleet and operationalize AI at rig scale rather than in isolated pilots. over 120 drilling rigs 
BytePlus Sample Aug 4, 2026 TransJakarta TransJakarta needed to handle growing passenger questions about routes, schedules, and service updates after enquiries rose past 23,000 messages per month, because manual support across its app and social channels left… 244-kilometre Bus Rapid Transit (BRT) network BytePlus ModelArk · DeepSeek V3.2 · TARA (TransJakarta Assistant Representative Agent) NVIDIA Sample Aug 4, 2026 Trillion Labs Trillion Labs needed to build highly accurate Korean and multilingual LLMs, but the scarcity of high-quality Korean data and the CPU-heavy cost of language filtering, deduplication, and shuffling made large-scale data… 5% accuracy improvement for the Korean language using 100B tokens of curated data. Dask · NVIDIA H100 GPUs · NVIDIA NeMo Curator Google Cloud Sample Modified · Aug 4, 2026 Lovart Lovart into design workflows to power productivity and creativity. However, for new users, it may be challenging to have their ideas accurately understood and executed by AI image generators. With the enhanced image… Enables highly realistic video generation through Veo 3 Gemini · Nano Banana Pro · Veo 3