Deloitte Sample Sep 8, 2024 Rakuten Securities Rakuten Securities needed a more human digital way to guide rapidly growing numbers of first-time investors through complex financial products because it operates as an online brokerage without nationwide branches for… 10 million accounts in Japan in 2023 Investment AI Assistant · Investment Consultation AI Avatar · NVIDIA Omniverse ACE 
Salesforce Sample Sep 6, 2024 Kawasaki Engines Kawasaki's Engines and Government & Fleet Sales teams were operating in separate Salesforce instances and other tools, making it difficult to share customer information, support cases, forecasts, warranty context, and… Automate hundreds of tasks Agentforce Manufacturing · Agentforce Sales · Agentforce Service 
AWS Sample Sep 6, 2024 Mazzuma Mazzuma , a Ghana-based startup, is working to provide greater access to artificial intelligence (AI) and blockchain technology. “We want to use our generative AI project to democratize AI—giving access to people who do… By using AWS, Mazzuma created this tool in months at low cost, and MazzumaGPT is now serving developers in 85… Amazon SageMaker 
Databricks Sample Sep 5, 2024 KRAFTON KRAFTON needed to unify game and customer data across many studios because inconsistent access patterns and fragmented pipelines were slowing decision-making, collaboration, and privacy-aware innovation. 60TB Databricks Data + AI Platform · Unity Catalog 
OpenAI Sample Sep 5, 2024 Ada Ada needed to move past containment-rate chatbots and build a customer-service system that actually resolves issues well, supports voice use cases, and reduces hallucinations at production scale. 80-90% agreement with human reviewers in the evaluation framework AI Agent · GPT-4 · GPT-4o 
Alibaba Cloud Sample Sep 4, 2024 Zhenyun Technology (甄云科技) Zhenyun Technology needed to reduce the friction of procurement support inside its SRM platform. Users had to dig through documents for purchasing information, repetitive questions still consumed human service teams,… 1,000+ domestic and international enterprise customers dedicated knowledge base · intelligent dialogue robot · procurement intelligent assistant 
IBM Sample Sep 4, 2024 Virgin Money UK PLC Virgin Money needed to reduce contact-center demand and improve digital self-service because credit-card customers often called for help instead of completing questions and account updates inside the mobile app. 2M+ customer interactions with virtual assistant since launch Bot Framework Composer · Power Virtual Agents 
Cohere Sample Sep 4, 2024 Oracle Oracle wanted to embed generative AI into Oracle Fusion Applications for a global base of more than 14,000 customers without breaking existing workflows, while still preserving enterprise-grade privacy, security, and a… over 100 GenAI use cases Cohere Embed · Cohere Rerank · Command R Databricks Sample Sep 4, 2024 Vannevar Labs Before partnering with Databricks, Vannevar Labs struggled with the limitations of commercial models, such as GPT-4, which delivered suboptimal accuracy and was not cost-effective, especially given the multilingual… 2 weeks to deploy a fully trained sentiment analysis model Agent Bricks 
Intel Sample Sep 3, 2024 University of California Berkeley UC Berkeley needed to make generative LLM inference more efficient through low-precision quantization, but its SqueezeLLM approach depended on custom CUDA kernels that took weeks to implement and optimize and would be… 1.296 seconds SqueezeLLM 4-bit (0% sparsity) latency Intel Data Center GPU Max Series · Intel Tiber Developer Cloud · Intel oneAPI Base Toolkit IBM Sample Sep 3, 2024 IBM CIO IBM employees needed a faster way to find proposal content across many internal sources because searching sales documents, templates, product guides, and offerings manually slowed proposal creation and made it harder to… IBM Cloud Code Engine · IBM Granite · IBM Watson Discovery AWS Sample Sep 2, 2024 RMIT University RMIT needed secure, high-performance cloud research environments that could handle large simulations, geospatial knowledge graphs, and AI workloads much faster than on-premises servers while making advanced… 100x performance improvement AWS ParallelCluster · Amazon Braket · Amazon EC2 Alibaba Cloud Sample Sep 1, 2024 Cloud Expo Co., Ltd. (云上会展有限公司) Cloud Expo had to keep exhibition information current across many complex projects while handling large volumes of attendee and exhibitor questions. Manual Q&A maintenance and human service queues were costly and slow,… 40+ major projects delivered Tongyi intelligent dialogue robot · event document and FAQ knowledge base · mini program integration Alibaba Cloud Sample Sep 1, 2024 Guanjiapo Software (管家婆软件) Guanjiapo Software had to support dealers and end users across many versions of its management-software portfolio, but the product complexity made it hard for bots to understand questions accurately. Multi-turn dialog… 30% of questions are answered intelligently and accurately Tongyi Xiaomi Standard Edition service · Tongyi Xiaomi built-in operations tools · enterprise knowledge base AWS Sample Sep 1, 2024 SBI Life Insurance SBI Life Insurance, an SBI Insurance Group company, provides consumers with products such as an affordable mortality insurance plan, which allows customers to revise the sum insured based on their stage of life; a… It also shortened the training periods by about 30 percent. Amazon Bedrock · Amazon Kendra · Amazon OpenSearch Service Alibaba Cloud Sample Aug 30, 2024 Focus Media (分众传媒) Focus Media needed a more scalable and data-driven way to design offline brand-marketing plans for large advertisers while also lowering the creative and strategic barrier for smaller advertisers that lacked dedicated… covers 400 million urban mainstream consumers Bailian · Bailian-Quanmiao · Tongyi large model Salesforce Sample Aug 30, 2024 Bombardier Bombardier's 50-person sales team had to manually assemble aircraft, event, flight, mission, wealth, and competitive data from disconnected systems, making it hard to spot ready-to-buy customers across sales cycles that… 50-person sales team CRM Analytics · Data Cloud · Einstein AI AWS Sample Aug 29, 2024 Amanote Amanote is helping transform learning in both higher-education and staff training scenarios. Its app makes it easy to add notes and comments to coursework. 2 Minutes to onboard new customers AWS Lambda · Amazon API Gateway · Amazon Bedrock 
Accenture Sample Aug 28, 2024 Queensland University of Technology Queensland University of Technology needed to attract and retain prospective students more effectively, but fragmented engagement processes and slow responses made it harder to guide people through study choices,… 17 additional domestic outreach call campaigns Einstein AI · Salesforce Data Cloud · Salesforce Education Data Architecture Alibaba Cloud Sample Aug 27, 2024 Liepin (猎聘) Liepin wanted to push recruitment workflows toward more precise, AI-native operations, but keyword screening, manual candidate search, and slow response cycles were limiting matching quality and user experience. The… 1.32 million+ verified enterprise customers Bailian · Qwen models · candidate-matching service AWS Sample Aug 27, 2024 Legal & General Legal & General's UK retail retirements division needed to process thousands of pension documents quickly and accurately for more than 5 million customers while meeting regulatory SLA requirements and reducing the… 5.2 million workplace pension members Amazon Textract 
In-house Sample Aug 26, 2024 ZF ZF needed to shorten development cycles, analyze large volumes of customer requirements, speed testing and validation, and estimate operating parameters that cannot be physically measured in products such as electric… AI Tech Center · Virtual Sensors · cubiX OpenAI Sample Aug 26, 2024 Arizona State University Today, ASU is enhancing educational outcomes by integrating ChatGPT Edu into projects across teaching, research, and operations. Guided by the ASU charter, which prioritizes inclusion over exclusion, research benefiting… ChatGPT Edu IBM Sample Aug 23, 2024 dsm-firmenich Animal Nutrition & Health dsm-firmenich needed a more proactive way to identify and predict mycotoxin contamination in feed crops because contamination threatens food safety, animal health, regulatory compliance, and agricultural economics… 25% of the world’s crops affected by mycotoxins IBM Environmental Intelligence Suite · Mycotoxin prediction