Databricks Sample Aug 22, 2025 ServiceNow However, the path to growth was mired in inefficiencies such as siloed data, disconnected systems and time-consuming manual workflows. 1.5x Boost in deal velocity Delta Lake · Lakeflow Jobs · Unity Catalog 
IBM Sample Aug 21, 2025 IBM HR IBM HR needed to replace fragmented, multi-channel support and repetitive manual work with a single service experience that could answer policy questions, execute transactions, and route complex cases consistently… 40% reduction in the HR team’s operational costs over the past four years AskHR agents · Concur · IBM watsonx Orchestrate 
Confluent Sample Archived · Aug 21, 2025 Palmerston North City Council Palmerston North City Council needed to break data out of spreadsheets and siloed on-premises systems so citizen services, regulatory workflows, and AI initiatives could run on trusted real-time information instead of… around 25 manual steps Confluent Cloud · Schema Registry 
Alibaba Cloud Sample Aug 20, 2025 Shuyao Technology Shuyao Technology needed to replace a brittle, manually maintained financial risk rule engine. Its decision process spanned 516 nodes and 878 evaluation indicators, with tightly coupled logic, redundant checks, and slow… 48.67% accuracy after SFT AI Stack · Platform for AI (PAI) · Qwen3 
In-house Sample Aug 20, 2025 Bank of America Bank of America needed to serve a very large client and employee base with faster, always-available financial guidance and support, while reducing call-center and IT service desk load and making digital interactions… CashPro Chat is used by 65% of clients CashPro® Chat · Erica · Erica for Employees 
OpenAI Sample Aug 20, 2025 MIXI MIXI needed a secure company-wide AI environment so employees could share GPTs, use internal data safely, and speed up creative, investment, and communication work across a diverse consumer-services portfolio. 45-day deployment ChatGPT Enterprise · Copy Checker GPT · Creative Planning GPT 
Cognizant Sample Aug 19, 2025 Storebrand Bank Storebrand Bank needed to accelerate lending and other customer-facing banking processes while coping with rising operational volume, but its automation work was fragmented across silos and too dependent on manual… 10 minutes off every credit card application Automation as a service (AaaS) · KPI dashboards · UiPath Automation Cloud Databricks Sample Aug 18, 2025 Lippert Lippert needed a better way to support AI-assisted customer support, call center coaching, and knowledge automation because surging support demand, fragmented service data, and limited visibility into call quality left… AI agents that pay for themselves with 106K hours saved Agent Bricks · Databricks Assistant · Databricks Data + AI Platform 
Google Cloud Sample Est. · Aug 15, 2025 Hershey Entertainment & Resorts Hershey Entertainment & Resorts (HE&R) needed to personalize experiences for highly varied guests across an amusement park, hotel, hockey team and entertainment venues, but its prior reliance on manual data sampling… Dialogflow-to-BigQuery-to-Looker Studio reporting built in 30 minutes BigQuery · Conversational Agents · Customer Engagement Suite IBM Sample Aug 14, 2025 Harvard John A. Paulson School of Engineering and Applied Sciences Harvard’s Calmon Lab needed more accessible high-end GPU infrastructure so it could run large-model AI safety experiments without long waits that slowed research progress. over 2,000 tokens per second IBM Cloud · IBM Cloud Object Storage · Red Hat Enterprise Linux 9 Databricks Sample Aug 14, 2025 EY-Parthenon They needed a partner — not just a platform — capable of scaling AI-powered workflows, unifying fragmented data sources and embedding intelligence securely and compliantly across global engagements. 30%–50% Efficiency gains, accelerating client decision-making and unlocking new opportunities Agent Bricks · Databricks SQL · Delta Lake 
NVIDIA Sample Aug 13, 2025 Shell Shell needed a domain-specific AI assistant for chemistry and R&D knowledge, but its vast archive of scientific documents required data curation, domain adaptation, and faster training than generic RAG and open-source… 154,000 high-quality documents NVIDIA NeMo · NVIDIA NeMo Curator · NVIDIA NeMo Framework NVIDIA Sample Aug 13, 2025 Perplexity Perplexity needed to customize frontier models for a search experience that returns direct answers instead of links, but rapid model releases, high query volume, and the need for low latency and high throughput made… 20% improved over the base model on search Llama · Mistral · NVIDIA NeMo NVIDIA Sample Aug 13, 2025 Deloitte Consulting LLP Deloitte needed to integrate large multimodal biomedical datasets, train custom protein and chemistry language models, and assemble drug-discovery pipelines far faster than manual infrastructure work allowed, because… 12 million nodes and 97 million connection edge links in the Atlas AI graph AlphaFold2 · ESMFold · MegaMolBART NVIDIA Sample Aug 13, 2025 Perplexity Perplexity needed a production-grade inference stack for pplx-api that could serve open-source LLMs with lower latency, lower first-token delay, and lower operating cost while still scaling elastically across large GPU… $600,000 per year in savings NVIDIA A100 GPUs · NVIDIA AI Enterprise · NVIDIA H100 GPUs 
Microsoft Sample Aug 12, 2025 Repsol Repsol wanted to measure whether generative AI could reduce time spent on routine knowledge work such as finding information, summarizing documents, drawing conclusions, comparing supplier proposals, and preparing… 121 minutes a week Copilot Chat · Excel · Microsoft 365 Copilot OpenAI Sample Aug 12, 2025 Basis "We’ve worked with OpenAI from day one," says Mitchell Troyanovsky, co-founder of Basis. "Each model improvement broadens what our agents can take on. Built with OpenAI o3, o3‑Pro, GPT‑4.1, and GPT‑5, Basis’ AI agents help accounting firms save up to 30% of… GPT-4.1 · GPT-5 · o3 NVIDIA Sample Aug 11, 2025 Magna Magna needed to improve efficiency, safety and agility across its global manufacturing operations while also helping its autonomous delivery vehicle platform adapt to new cities and complex physical environments. City Delivery platform · NVIDIA Cosmos Reason · NVIDIA Omniverse simulation APIs and libraries In-house Sample Aug 11, 2025 Australian Department of Defence Aircrew operating in complex maritime and undersea mission environments needed faster decision support from large volumes of operational data so they could identify adversaries and respond more quickly without removing… AI system · advanced AI algorithms · machine learning models 
MongoDB Sample Archived · Aug 11, 2025 Workleap Workleap wanted to embed generative AI across its HR and talent-management suite without stitching together separate third-party tools for vector search, full-text search, filtering, and cross-product data retrieval. The company migrated to Atlas as its foundational database in 2014. MongoDB Atlas · MongoDB Atlas Search · MongoDB Vector Search 
Capgemini Sample Aug 7, 2025 Imperial War Museums Imperial War Museums needed to make more than 20,000 hours of oral history recordings accessible despite challenges such as regional accents, military terminology, multiple languages, and inconsistent audio quality. 20,000+ hours of historic oral history interviews Ask a question · Gemini 2.0 · Google Cloud IBM Sample Aug 6, 2025 IBM IBM Research's Big AI Models team needed to keep scarce GPUs available for a growing set of LLM experiments and inference workloads, but overprovisioned Kubernetes instances were wasting expensive accelerator capacity… 13 fewer GPUs will be necessary in a full automation environment IBM Turbonomic · Kubernetes · NVIDIA A100 GPUs Google Cloud Sample Archived · Aug 6, 2025 Transsion “Transsion’s vision for AI phones is to proactively think like a human, execute like a machine, and solve tasks end-to-end,” explains Tuanwei Shi, general manager of Transsion’s TEX AI Center. “In the past, users had… Transsion coupled with new technologies such as Agents2Agents (A2A) and Model Context Protocol (MCP), Transsion… Agent Development Kit · Cloud SQL · Firestore 
Huawei Cloud Sample Archived · Aug 5, 2025 Hainan Airlines (海南航空股份有限公司) Hainan Airlines needed to stop scraping, fake seat holds, and marketing abuse across its digital channels because those attacks were raising costs, destabilizing pricing, and hurting direct-sales conversion. direct-sales rate was below 50% Dingxiang intelligent risk-control platform · device fingerprint tool · intelligent CAPTCHA tool