Databricks Sample Jun 4, 2026 Red Hat But even in a highly data-driven marketing organization, teams trying to answer performance questions and find insights were slowed by fragmented information across dashboards, documents, spreadsheets and internal tools. $1.3M In annual productivity value Agent Bricks 
In-house Sample Jun 3, 2026 Urban-Transporte Warehouse staff handling KION spare parts orders faced intense end-of-day workload peaks because containers could not be closed until it was clear whether customers would add more items before the shipping cutoff,… accuracy rate of around 96% Extreme Gradient Boosting (XGBoost) 
OpenAI Sample Jun 3, 2026 Wasmer Engineers at Wasmer experienced a breakthrough this year: They figured out how to run Node.js workloads inside a WebAssembly sandbox, enabling developers to run JavaScript apps, MCPs, and agents without Docker. This… Teams use Codex with GPT‑5.5 to take on more ambitious projects and complete them 10x to 20x faster. Codex · GPT-5 In-house Sample Jun 2, 2026 Microsoft Microsoft's quantum program had to improve qubit reliability and speed while coordinating software, architecture, materials, fabrication, and measurement work across large, siloed datasets and globally distributed… 1,000-fold improvement in reliability Microsoft Discovery 
NVIDIA Sample Jun 2, 2026 Revolut Revolut needed to replace siloed fraud, credit, marketing, and recommendation models that depended on months of feature engineering with a single behavioral foundation model that could learn from raw financial event… 16.1% improvement in credit risk prediction performance from NVIDIA Llama-Nemotron-Embed-1B-v2 NVIDIA H100 GPUs · NVIDIA Llama-Nemotron-Embed-1B-v2 · Nebius AI Cloud OpenAI Sample Jun 2, 2026 Travelers When customers call Travelers after a car accident, they need immediate help and confidence that the claims process is going to go smoothly. But delivering that support at scale can be an operational challenge. "What set OpenAI’s real-time model apart was the ability to perform in that environment," says Patrick Gee, SVP… AI Claim Assistant · Realtime API OpenAI Sample Jun 1, 2026 Aviva Aviva wanted to make life insurance quoting and application initiation faster and easier for customers through an emerging LLM-based channel, while extending the digital distribution approach it had already launched for… Aviva website · ChatGPT app NVIDIA Sample Jun 1, 2026 Alsemy Alsemy needed to replace slow, expert-only semiconductor device-modeling workflows that required months or years of manual physics fitting before chip teams could move on new process nodes. 10-minute customer-specific tuning Alsis · Alsphere · CUDA-accelerated PyTorch 
Accenture Sample May 29, 2026 HSBC HSBC relied on fragmented, recruiter-heavy hiring processes that duplicated effort, increased cost, and made it harder to scale workforce planning and fill specialized roles quickly across a global financial-services… $28.5M in savings CV stack ranking · Eightfold.ai · SAP SuccessFactors 
Google Cloud Sample May 29, 2026 Google Cloud Google Cloud's demand engine was receiving growing volumes of increasingly complex leads, but lead preparation still depended on manual, batch-based enrichment. That made it difficult to add trusted buyer, account, and… 30x faster lead processing BigQuery · Gemini · Vertex AI 
Microsoft Sample May 29, 2026 Noli Beauty shoppers face too many undifferentiated product choices and often do not understand their own skin or hair needs well enough to identify the right products with confidence. 100-strong Alpha community AI Beauty Matchmaker · Microsoft Azure Google Cloud Sample Archived · May 29, 2026 Papa Johns Customers can order faster and get personalized recommendations without a single tap needed. Papa Johns serves up pizza to more than 150 million customers around the globe. Their recipe for success… BigQuery · Cloud SQL · Food Ordering AI agent OpenAI Sample May 29, 2026 Boston Children's Hospital Boston Children's needed to reduce the administrative burden of supply-chain, billing, and scheduling work while also helping clinicians reason through rare-disease cases where fragmented genetic data, incomplete… About 60,000 hours in time savings co-pilot geneticist · enterprise AI layer · secure internal ChatGPT environment 
MongoDB Sample May 28, 2026 Rippling Rippling needed a resilient, scalable data foundation to support a rapidly expanding workforce platform and new AI features that answer questions across live operational data. Rippling has expanded its portfolio to nearly 70 different products. MongoDB Atlas Google Cloud Sample Archived · May 28, 2026 IKS Health Their technology goals centered on a cloud-first strategy with Google Cloud, aiming to modernize from legacy on-premise, monolithic systems. Key objectives included migrating to a unified, scalable cloud-native platform… Achieved 30% infrastructure cost savings by migrating to Google Cloud BigQuery · Cloud Build · Cloud Logging Google Cloud Sample Archived · May 28, 2026 Stratagem As Stratagem’s reputation grew, so did the administrative complexity of managing a diverse portfolio. The team found themselves navigating a fragmented landscape of tools for project management, financial tracking, and… 30% increase in call deflection for key retail clients Gemini Enterprise OpenAI Sample May 28, 2026 Endava Endava uses Codex to scale senior engineering expertise across its full delivery lifecycle. Codex Google Cloud Sample Archived · May 28, 2026 Elasticsearch Elastic fundamentally re-architected its core offering to Elastic Cloud Serverless on Google Cloud, transforming its ability to provide lightning-fast search and AI capabilities at scale while eliminating operational… Cut compute-related carbon footprint by estimated 25% Cloud Storage · Compute Engine · Gemini models 
Mistral Sample May 27, 2026 HTX HTX needed AI that understood Singapore's public-safety context, could be trained on sensitive data inside a secure environment, and would remain under government control rather than depending on generic off-the-shelf… 123B-parameter natively multimodal and multilingual foundation model AI Forge · AI Studio · NGINE OpenAI Sample May 27, 2026 Cisco Cisco needed an AI engineering teammate that could operate across large multi-repository codebases, enterprise governance controls, and mission-critical software programs without sacrificing security or review… 1,500+ engineering hours saved per month AI Defense · Codex · Codex-CLI 
Bain Sample Archived · May 26, 2026 TCL Photovoltaic Technology TCL Photovoltaic Technology's growth created more dispersed projects, more complex operating processes, and higher policy risk, so the company needed AI to improve efficiency, consistency, and control as it scaled. 10%-15% auditing process cost reduction AI service group · AI-powered recognition · Intelligent inspection 
IBM Sample May 26, 2026 ViClinic ViClinic needed to connect fragmented healthcare workflows across intake, documentation, authorization, coding, billing, and follow-up so providers could reduce administrative delays without losing compliance,… 10–20% potential reduction in admin inefficiency IBM Cloud · IBM watsonx Orchestrate · IBM watsonx.ai 
Salesforce Sample May 26, 2026 Perk Perk's sales reps were losing valuable selling time to browser-based prospect research, manual qualification, and delayed first outreach, which slowed pipeline creation and reduced the quality of early conversations. 3x increase in call volumes Prospecting Agent · Sales Cloud Mistral Sample May 25, 2026 Austrian Academy of Sciences Researchers at the Austrian Academy of Sciences needed a way to analyze and reconstruct huge volumes of fragmented Ancient Greek texts that manual transcription and interpretation could not process quickly or at… 1M+ unread Greek papyri worldwide, now accessible through AI Apollo