Global Consulting · capgemini.com
Capgemini
34 verified customer use cases (91% with quantified ROI · Avg Value Score 83.2 · 97% with mapped architecture components).
- Verified stories
- 34
- Quantified ROI
- 91%
- Avg value score
- 83.2
- Industries served
- 12
- Distinct products
- 100
Capgemini Sample Dec 12, 2024 UNESCO UNESCO wanted to make large-scale learning-assessment data far easier for policymakers and educators to analyze so they could make better decisions about foundational reading outcomes. 251 million children around the world are out of school Amazon Bedrock · Amazon SageMaker · LangChain Capgemini Sample Jul 19, 2024 GlasfaserPlus GlasfaserPlus needed a scalable way to read, classify, and document large volumes of unstructured correspondence and field comments so it could assess and predict delays across thousands of fiber rollout projects. Large Language Model (LLM) Capgemini Sample May 27, 2024 Iveco Group Iveco Group needed global visibility and tighter control over its complex, heterogeneous supply-chain processes so it could make faster decisions and improve efficiency and sustainability. 20 industrial sites Amazon Web Services (AWS) · Control Tower · Dock Scheduling Capgemini Sample May 27, 2024 Eneco eMobility Eneco eMobility needed to help a growing customer care organization handle rising EV charging demand faster and at lower cost without sacrificing employee or customer experience. reducing the average wrap-up time by 50% Microsoft Copilot · Microsoft Digital Contact Center · Microsoft Dynamics 365 Capgemini Sample Sep 26, 2023 Lofoten-Vesteralen Ocean Observatory (LoVe Ocean) LoVe Ocean needed a faster way to sift through massive volumes of ocean-sensor data so researchers could better understand marine ecosystems and climate-related change. nearly 1200 total participants AI and machine learning solution · Amazon ECR · Amazon S3 Capgemini Sample Sep 18, 2023 Naturalis Naturalis and the Arise initiative needed a practical way to interpret large volumes of insect acoustic data so conservation teams could track biodiversity change and identify species more effectively. Five hours of recordings of 66 different insect species AI model · Amazon SageMaker Capgemini Sample Aug 4, 2023 AETA AETA needed to improve the accuracy and operational readiness of its earthquake-prediction system so governments could act on its forecasts with more confidence. 600 teams from 28 different countries WALKTREE prediction model · competition system · three-part sensory systems Capgemini Sample Jul 13, 2023 Boehringer Ingelheim Boehringer Ingelheim had millions of unstructured text documents in inconsistent formats and quality states, making it hard for teams across the business to analyze the data, surface insights, and respond quickly to… 40% reduction in response time for complex medical inquiries Custom NLP-driven analytics platform · Machine Learning Operations approach · Natural Language Processing (NLP) algorithms Capgemini Sample May 26, 2023 Hospital Ramón y Cajal, Hospital 12 de Octubre, and Hospital San Pablo The three hospitals needed a faster way to review chest X-rays during COVID surges because expert interpretation was time-intensive and specialist capacity was limited. 24% increase in model performance relative to local models Intel Xeon Scalable processors · Software Guard Extensions (SGX) · computer vision model Capgemini Sample Apr 6, 2023 Chevron Phillips Chemical Chevron Phillips Chemical needed to modernize its digital tooling, expand its cloud footprint, and turn operational data into AI-assisted decisions that could improve reliability, production, and supply-chain… 52 value cases Microsoft Azure · modern data and AI platform · plant-optimization tools