Cloud Storage

6 use cases using this technology

6published use cases

5industries

4countries on record

Computer Vision

top AI capability

Evidence mix: High 6 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

6 use cases

Technology & SoftwareConversational AIAgentic AI

Wonderful cuts enterprise customer service costs up to 70% with multilingual Gemini voice agents

Wonderful built enterprise-grade AI agents on Google Cloud's Gemini and Vertex AI that operate across voice, text, and email in dozens of languages and local dialects, expanding across EMEA markets including Arabic, Czech, French, Greek, Dutch, and Italian. Early deployments let contact centers handle thousands of simultaneous conversations, cutting enterprise costs by around 70% per minute of AI-handled call or chat, and one banking client built a promotional AI agent in four days versus the weeks it would have taken 50 people previously.

Wonderful· IsraelGemini · Vertex AI · Compute Engine +2

Aerospace & DefenseComputer Vision

Airbus Defence and Space Uses Deep Learning and Google Cloud to Deliver Real-Time Satellite Imagery

Airbus Defence and Space's Intelligence business line rebuilt its satellite imagery platform, OneAtlas, on Google Cloud, using Kubernetes Engine, Cloud Pub/Sub, Cloud Storage and Cloud Datastore to serve more than 1,200 customers in over 100 countries. Airbus trained TensorFlow deep learning models to recognize cloud cover, cutting its cloud-detection error rate from 11% to 3%, and the new platform reduced the time for customers to access satellite imagery from hours to less than half a second while adding millions of square kilometers of imagery weekly.

Airbus Defence and Space· FranceGoogle Kubernetes Engine · Cloud Pub/Sub · Cloud Datastore +2

ManufacturingGenerative AI

Workerbase powers real-time shop floor AI workflows on Google Cloud

German manufacturing software company Workerbase uses Google Cloud's Vertex AI and Google Kubernetes Engine to deliver real-time, AI-generated troubleshooting instructions to shop floor operators when machines report faults, translating instructions into workers' preferred languages and supporting predictive maintenance. Manufacturers including Siemens and Porsche use the platform, which also lets supervisors build low-code workflow apps in hours instead of months and integrates with legacy systems like SAP.

Workerbase· GermanyGoogle Cloud Vertex AI · Google Kubernetes Engine (GKE) · BigQuery +1

Financial ServicesDocument IntelligenceMachine Learning

Lloyds Banking Group cuts mortgage income verification from days to seconds with ML

Lloyds Banking Group, the UK's largest digital bank, migrated 15 modelling systems from on-premise infrastructure to Google Cloud's Vertex AI (now Agent Platform), giving over 300 data scientists and AI developers scalable machine learning capabilities. In six months the bank ran 80 new ML experiments and launched 18+ GenAI systems into production, including an algorithm that reduces the income verification step in mortgage applications from days to seconds. The migration also cut unplanned ML platform downtime to zero and saved 27 CO2 tonnes of operational emissions.

Lloyds Banking Group· United KingdomGoogle Cloud Vertex AI · Gemini Enterprise Agent Platform · BigQuery +5

Financial ServicesRetrieval-Augmented GenerationGenerative AILarge Language Models

Deutsche Bank builds DB Lumina, a RAG research agent that saves analysts up to two hours per report

Deutsche Bank Research built DB Lumina, an AI research agent on Google Cloud (GKE, Vertex AI Gemini models, Cloud SQL pgvector, Discovery Engine RAG) that lets analysts chat with documents, use standardized prompt templates, and ground answers in enterprise knowledge with inline citations. Since going live in September 2024, DB Lumina has reached about 5,000 users across Deutsche Bank Research, saving analysts 30-45 minutes preparing earnings note templates and up to two hours writing research reports and roadshow updates, with one analyst increasing report analysis depth by 50%.

Deutsche BankGoogle Kubernetes Engine · Vertex AI · Cloud SQL +5

InsuranceDocument IntelligenceComputer VisionNatural Language Processing

omni:us: A cloud AI pipeline brings order to insurance claim processing

omni:us, a Berlin-based firm spun out of parent company Qidenus Technologies, built a hybrid on-premises and cloud AI pipeline that sorts insurance claims paperwork and automates processing for European insurers. The system captures data on-premises and processes it using cloud AI, combining convolutional neural networks, NLP, optical character recognition and handwritten text recognition to convert unstructured claims documents into structured data, aiming to help insurers settle claims within minutes instead of weeks. For a handwritten car claims case, the model achieved a handwritten character error rate of 7.25%. The company uses Google Kubernetes Engine and Container Registry for its European clients and supports on-premises deployment for insurance customers.

omni:us· GermanyGoogle Kubernetes Engine · Container Registry · Cloud Storage +5