Baidu AI Cloud Sample Dec 29, 2025 Beijing Yilian Tongda Technology Co., Ltd. Yilian Tongda needed a safer and more efficient way to help power-industry staff work with scattered standards, maintenance records, inspection documents and risk-control knowledge that were difficult to search and keep… Agent Technology · Qianfan AppBuilder · Qianfan ModelBuilder Baidu AI Cloud Sample Dec 29, 2025 Shanghai Xinzhi Software Co., Ltd. (上海新致软件股份有限公司) Shanghai Xinzhi Software needed a scalable way to help automotive sales teams cope with high staff turnover, expensive talk-track training, fragmented customer-profile information, and weak use of historical call data… Average sales score increased 25%. Baidu Search plugin · ERNIE-4.0-Turbo · Qianfan AppBuilder 
Bain Sample Archived · Dec 28, 2025 Káyana Metro Pacific Investments Corporation, Manila Electric Company, and PLDT wanted a compliant way to unify fragmented cross-industry datasets so they could generate actionable insights, automation, and advanced analytics… 200 customer micro-segments created AI-powered online acquisition campaign · Káyana · machine-learning-based lead acquisition engine Bain Sample Archived · Dec 28, 2025 NatWest Group NatWest Group had strong customer insights and a digital foundation, but turning those ideas into relevant customer engagement still required navigating hundreds of datasets, manual rekeying, forms, and more than 10… 18 million customers 360-degree view of the customer · generative AI · machine learning 
In-house Sample Dec 26, 2025 Repsol Repsol needed to move beyond generic occupational-health campaigns and traditional cardiovascular risk tables that were insufficiently personalized, carried male bias, and left employees under 40 effectively unassessed. 10-year time horizon Power BI · SaludIA Baidu AI Cloud Sample Dec 26, 2025 China Iron and Steel Research Institute Group (中国钢研科技集团) China Iron and Steel Research needed a practical way to apply large-model and visual AI capabilities across metallurgical research and manufacturing, especially for metallography analysis, surface defect detection, and… 100 ms response time Baige AI Heterogeneous Computing Platform · Kunlun · Qianfan Large Model Platform In-house Sample Dec 23, 2025 Telefónica Brasil Telefónica Brasil needed to monitor and manage electricity consumption across more than 35,000 sites nationwide, including real-time oversight of medium-voltage locations, while also handling over 35,000 monthly utility… Manual loading on databases was reduced from 5% to 1% CME (Energy Monitoring Center) · ETL tools · generative AI 
MongoDB Sample Dec 23, 2025 Rezolve AI Rezolve Ai’s legacy product discovery system relied on a contextual, AI-based search engine that excelled with subjective queries. However, the system could not support the precise searches that B2B customers required. We saw a reduction in latency by up to 50%, and we’ve achieved an average response time latency of roughly 50… MongoDB Atlas · MongoDB Atlas Search 
Databricks Sample Dec 23, 2025 Novo Nordisk Novo Nordisk needed a better way to support clinical trial data democratization and generative AI for faster drug development because clinical data lived across fragmented systems, which slowed collaboration, limited… $14M in operational efficiency gains Agent Bricks · Databricks Data + AI Platform · Databricks SQL MongoDB Sample Dec 22, 2025 Xlrt Xlrt needed to help a multinational bank overcome data silos and manual contract workflows that slowed forecasting, procurement analysis, and vendor management across many regions. Processes that once took 15 days now take just three, which is 75% faster and more cost efficient. MongoDB Atlas · MongoDB Enterprise Advanced MongoDB Sample Dec 21, 2025 Novo Nordisk Novo Nordisk needed to reduce the 12-week, multi-team effort required to produce compliant clinical study reports without sacrificing quality or regulatory rigor. CSR creation reduced from 12 weeks to 10 minutes Amazon Bedrock · Claude 3 · LangChain 
Alibaba Cloud Sample Dec 19, 2025 Yuyi Technology (语忆科技) Ecommerce brands in the maternal-and-infant segment were struggling with scattered consumer data, slow service response, weak demand mining, and delayed discovery of after-sales issues hidden in refunds and… frontline customer-service conversion improved 30.8% LabelPaas · NeoSight 5.0 · NeoTrainer AI 
IBM Sample Dec 18, 2025 Oncoclínicas&Co Oncoclínicas&Co needed to unify fragmented patient communication channels, reduce wait times and automate routine interactions without losing the personalized and empathetic experience patients expected. 38% improvement in appointment attendance IBM Cloud Pak for Business Automation · IBM Cloud Pak for Integration · IBM watsonx.ai MongoDB Sample Dec 18, 2025 TinyFish TinyFish needed retrieval technology accurate enough to let thousands of AI agents automate web research, product matching, and data extraction for enterprise users without forcing customers to wait weeks for… TinyFish launched with $47 million in funding. MongoDB Atlas · Voyage AI rerank-2.5 · Voyage AI voyage-3.5 
AWS Sample Est. · Dec 18, 2025 Pinterest Pinterest needed to scale AI-powered visual discovery to 600 million monthly active users while keeping the platform a positive, trusted, and safe experience differentiated from competitors who optimize for viral… 10 million AI-powered recommendations per second Amazon Bedrock · Amazon EC2 · Amazon EC2 G5 instances 
Capgemini Sample Dec 17, 2025 EDP Redes España EDP Redes España needed to speed up electricity-network inspections, detect defects more accurately, and reduce the cost and environmental impact of manual review processes. 14 GW of installed capacity AWS technologies · LandingAI · MLOps platform Capgemini Sample Dec 17, 2025 Amsterdam City Archives Amsterdam City Archives needed to make a massive paper archive usable for the public despite handwritten documents, outdated Dutch, and limited search tools that made discovery difficult. 50 kilometers of paper archives AI Search · Chat with History · Handwritten Character Recognition (HCR) IBM Sample Dec 17, 2025 Customs Committee of the Republic of Uzbekistan The Customs Committee of Uzbekistan needed to process growing volumes of customs declarations that contained complex free-text goods descriptions, but manual review slowed clearance, introduced classification risk, and… 80,000 declarations processed automatically IBM watsonx.ai · IBM watsonx.data · Llama 3.3 
Confluent Sample Archived · Dec 17, 2025 Getir Getir needed to replace a distributed monolith, synchronous service calls, and stale ETL-fed machine learning data so rapid-commerce teams could scale checkout, discovery, and logistics without cascade failures. 40 million people Apache Flink · Confluent Cloud IBM Sample Dec 16, 2025 Rinnai Australia Rinnai Australia needed to simplify a fragmented finance environment built on multiple planning and reporting tools, spreadsheets, and manual processes so the company could speed reporting, improve collaboration, and… 10% targeted inventory reduction through demand planning IBM Planning Analytics · IBM watsonx Alibaba Cloud Sample Archived · Dec 16, 2025 CINAMON CINAMON needed flexible, scalable, and cost-efficient compute for CINEV, its hybrid AI and 3D animation platform, so it could handle fluctuating production workloads and keep user wait times low. Alibaba Cloud DNS · Elastic Compute Service · Elastic GPU Service 
Google Cloud Sample Archived · Dec 14, 2025 Lloyds Banking Group To meet these changing expectations, banks need to combine powerful data analytics with scalable machine learning (ML) capabilities to help customers make the most of their money. The wealth of customer data in Lloyds… Gemini platform has a much lower cost of entry, allowing us to prototype quickly, while giving us the… BigQuery · Cloud Storage · Dataflow 
OpenAI Sample Dec 12, 2025 BNY BNY wanted to scale generative AI across a systemically important financial institution without treating it as a side experiment, so it needed a governed way for employees to build agents, use frontier models, and… 20,000 employees actively building AI agents ChatGPT Enterprise · Eliza · deep research OpenAI Sample Dec 11, 2025 Podium Podium needed to help local businesses capture after-hours demand, follow brand-specific sales rules, and convert leads without forcing SMB owners to configure complex software or hire more staff. 30% increase in revenue on average ChatGPT Enterprise · GPT-5.1 · Jerry