Alibaba Cloud Sample Jan 9, 2026 Bespin Global Bespin needed to industrialize enterprise AI agents without forcing customers to stitch together model stacks, orchestration frameworks, and multimodal data pipelines by hand. It also needed better document… delivery cycle reduced from 1 day to about 2 hours Alibaba Cloud Bailian · ChatOmni · CrewAI 
Baidu AI Cloud Sample Jan 8, 2026 China Mobile Online (中移在线) China Mobile Online needed faster and deeper customer-intent insight than manual sampling and call listening could provide so it could support precision marketing, real-time service intervention, and low-threshold model… Clustering analysis timeliness is reduced to less than 1 hour from about 3 hours. Customer-Agent-Business Profiling Engine · Real-time Intelligent Insight Platform · Real-time Knowledge Push Engine Baidu AI Cloud Sample Jan 8, 2026 Mercedes-Benz Group AG Mercedes-Benz needed to unify fragmented customer-contact operations spread across assistant, telematics, and roadside-assistance centers so it could improve oversight, expand service capacity, and deliver a more… End-to-end online Q&A accuracy exceeded 85%. ASR · Baidu AI Cloud Intelligent Customer Service · NLG Baidu AI Cloud Sample Jan 8, 2026 State Grid Corporation of China State Grid's 95598 service center faced heavy call volumes, limited channels, and rising pressure during demand peaks and outages, making it difficult to maintain service quality and scale customer support efficiently… Average daily interaction volume is 25 million messages. AI Base Platform · AI Operations Platform · Baidu AI Cloud Intelligent Customer Service 
ServiceNow Sample Archived · Jan 8, 2026 ServiceNow As ServiceNow grew, separate IT and security processes created alert overload, weak prioritization, duplicated compliance evidence, and too much manual work across patching, incident response, and risk assessments. 50%+ improved productivity with AI Agents in server patch management process AI Agents · AI Control Tower · Configuration Management Database ServiceNow Sample Archived · Jan 8, 2026 ServiceNow ServiceNow wanted to reduce the time employees lost to repetitive L1 incidents and turn IT support from a reactive function into a proactive AI-enabled service desk. 15% Coverage of incidents currently eligible for L1 Service Desk AI Specialist Knowledge Base · Now Assist · Predictive Intelligence 
OpenAI Sample Jan 8, 2026 Netomi Enterprise AI agents needed to coordinate messy, high-volume service workflows across many backend systems while staying low-latency, policy-compliant, and predictable under real production load. 98% intent classification accuracy Agentic OS · GPT-4.1 · GPT-5.2 
Accenture Sample Jan 7, 2026 Telefónica Telefónica needed to produce far more localized and personalized marketing assets across regions and dialects, but manual content production was too slow and expensive to support high-volume campaigns efficiently. 135% savings in hours Content Automation Tool (CAT) · automated dashboard · gen AI capabilities Accenture Sample Jan 7, 2026 Liverpool Liverpool needed stronger operational stability and faster incident response across a large retail technology estate so it could support high-demand sales events and seamless omnichannel commerce without technology… 10% Improvement in customer NPS. GenWizard · Value-Led Application Managed Services (AMS) · automation 
In-house Sample Jan 7, 2026 Equinor Equinor needs to maintain safe, efficient, and profitable operations across offshore platforms and land facilities while improving geological understanding, planning wells and field development better, reducing… 2 million square kilometres ServiceNow Sample Archived · Jan 7, 2026 ServiceNow ServiceNow wanted HR and IT support to feel like one intelligent employee experience instead of a patchwork of tools, handoffs, and repetitive questions that slowed onboarding, benefits help, learning, and day-to-day… $17.7 million in annual cost avoidance from self-service HR services AI Agents · AI-powered search · Now Assist 
NVIDIA Sample Jan 7, 2026 Delta Electronics Delta Electronics needed to reconfigure complex production lines and train inspection models quickly, but manual position-switch changes, fragmented 3D tools, and slow hand-labeled image collection were driving downtime… 10 minutes NVIDIA Isaac Sim · NVIDIA Omniverse Libraries · NVIDIA Omniverse Replicator 
TCS Sample Jan 6, 2026 Tata Projects Limited Tata Projects had to review 1,000-2,000 page tender packages with non-standard terms, scanned tables, and frequent corrigenda, so manual analysis took more than four days per bid and made it difficult to spot risk and… 1,000-2,000 pages of dense, sometimes unstructured documentation Cosmos DB · Document Intelligence · Microsoft Azure Durable Functions Alibaba Cloud Sample Jan 6, 2026 Chengdu Wuniu Technology (成都午牛科技有限公司) Wuniu was handling messy blue-collar recruiting data with manual teams and brittle keyword rules. Resumes were informal and hard to parse, job postings often bundled multiple roles or contained compliance risks, and… extraction accuracy improved about 40% Alibaba Cloud Bailian · Qwen-Plus NVIDIA Sample Jan 6, 2026 TGen TGen needed to analyze rapidly growing single-cell and spatial multi-omics datasets, but standard tertiary analysis workflows took 10-14 hours per run and became prohibitive when researchers needed to iterate across… 10 hours to 10 minutes on the first RAPIDS run 10x Genomics Xenium Analyzer · NVIDIA RAPIDS · Scanpy Alibaba Cloud Sample Jan 4, 2026 Shenli Technology (深励科技) Shenli Technology wanted its AI companion products to feel faster, more consistent, and more emotionally believable as user volume grew. Earlier setups struggled with response latency in high-frequency interaction,… complex-task completion improved 15% Bailian · Qwen3-flash · Qwen3-max 
MongoDB Sample Archived · Jan 3, 2026 EVANA EVANA needed to eliminate data sprawl and unstable SQL-based workflows that slowed document search, AI classification, and customer response times. Accuracy improved as the volume of documents increased from 6,000 to 30,000 per hour. MongoDB Atlas · MongoDB Atlas Search · OpenID Connect (OIDC) MongoDB Sample Archived · Jan 3, 2026 Emergent Labs Emergent Labs needed a flexible, scalable database to support AI agents building and iterating on vibe-coded applications. Almost 2 million apps have been built on the platform, and multi thousands of them deployed. MongoDB Atlas 
IBM Sample Jan 2, 2026 National Agency for Education, Lithuania Lithuania’s National Agency for Education needed to extract, standardize, and compare information from thousands of mixed-format school management reports because manual extraction took hours per report and made… 14 key criteria tracked by AI solution IBM Cognos Analytics · IBM watsonx.ai TCS Sample Jan 1, 2026 Foxtel Group Foxtel Group needed to improve customer sentiment, first-contact resolution, and cost to serve as streaming competition intensified, but managing millions of interactions across channels required smarter automation and… 20% reduction in interactions per subscriber GenAI Agent Assist · advanced monitoring and analytics · augmented reality (AR)-based visual assistance In-house Sample Dec 30, 2025 Elevance Health Members often struggle to understand coverage, costs, and care options, while care teams need better ways to anticipate member needs and help associates answer complex benefit and claim questions quickly and… AI-driven outreach program · Sydney Health app · Virtual Assistant Baidu AI Cloud Sample Dec 29, 2025 Zhaopin Zhaopin needed to move beyond isolated AI features and make large models useful across the full recruiting workflow, from job posting through candidate screening, communication, interviewing, and matching decisions. HR operating steps were reduced 80%. DeepSeek-R1 · ERNIE Speed · Qianfan AppBuilder Baidu AI Cloud Sample Dec 29, 2025 Liepin Liepin needed to identify where large models fit into recruiting workflows and then turn them into measurable gains in talent matching, interviewing, cost and hiring efficiency. Average interview execution cycles improve by 60%-70% compared with traditional interviews. AI Interview · Doris · Qianfan AppBuilder Baidu AI Cloud Sample Dec 29, 2025 Hualvwang Hualvwang needed a way to help ordinary users describe legal issues more precisely, retrieve relevant legal knowledge faster and scale personalized legal-service triage across a very large user base. Daily ERNIE invocation peaks exceeded 10 million. Qianfan AppBuilder · Qianfan ModelBuilder · Recommended Questions